Jobs in Bioinformatics, Genomics and Life Science

Job Alerts in this week (October , 2019)

Update on October 18, 2019

Postdoc in Bioinformatics

We seek a motivated and independent candidate for a 2-year postdoc position in bioinformatics available at the Department of Molecular Medicine (MOMA), Aarhus University. The position is available from January 1st, 2020 or as soon as possible thereafter. The postdoc will work on an exciting project concerning the evolution of germline mutation processes in humans. This can include comparisons with datasets of human somatic mutations or germline mutations from other species. Depending on your interests, focus can be on methods development, large-scale data analysis, or both.

Your competences
We are looking for a highly motivated applicant that have or are about to obtain a PhD in a relevant subject, which could be bioinformatics, population genetics, statistical genetics or a similar subject.

Furthermore you should have:

  • Experience with genomic data analysis.
  • Good programming skills
  • Fluency in spoken and written English

Deadline: 31 October 2019

For details click here

Bioinformatician/data scientist for research support and training

The Luxembourg Centre for Systems Biomedicine (LCSB) of the University of Luxembourg has created a local representation in the European bioinformatics infrastructure ELIXIR. This Luxembourgish ELIXIR Node, hosted in the LCSB, is dedicated to translational medicine data management and provide infrastructure, training and services. The Bioinformatics Core Facility of the LCSB is expanding its research activities and is seeking a highly motivated a developer/researcher (Position: Research and Development specialist on project).

Your Profile

  • A Master degree in bioinformatics or related biological disciplines and extensive experience in translational research environments
  • Solid experience in data analysis environments commonly used in bioinformatics and systems biology, strong in either Python, R or Matlab as well as the Unix environments
  • A strong working knowledge of statistical concepts
  • Laboratory experience in omics environments – sequencing, transcriptomics or proteomics is a plus
  • Familiarity with training environments, e.g. as instructor for Carpentry courses, Elixir Train-the-Trainer courses or as teacher in university-level education
  • Interdisciplinary communication and presentation skills
  • Excellent working knowledge of English

We offer

  • Fully funded position at the Bioinformatics Core Facility of the LCSB, headed by Prof. Reinhard Schneider
  • A multi-disciplinary international research environment, connecting institutes in Luxembourg and Europe through Elixir
  • The University of Luxembourg offers competitive salaries and is an equal opportunity employer

Please apply online until 15/11/2019.

For details click here

Posted on October 16, 2019

Bioinformatician in translational genomics

Lund University was founded in 1666 and is repeatedly ranked among the world’s top 100 universities. The University has 40 000 students and 7 600 staff based in Lund, Helsingborg and Malmö. We are united in our efforts to understand, explain and improve our world and the human condition. The Faculty of Medicine is a part of Lund University, and is responsible for education and research within medicine and healthcare. Our academic programs are closely linked with the healthcare system and are firmly anchored in the faculty’s strong research tradition. Our research spans a broad field within experimental preclinical research, near-patient clinical research and health sciences research. The Faculty of Medicine, with its 1,800 employees and 2,700 students in Lund and Malmö, is a knowledge-intensive meeting place for students, teachers and researchers from all over the world.

CTG ( is a prioritized research infrastructure at the Faculty of Medicine at Lund University, co-funded by Lund University, Region Skåne and SciLifeLab. At the center there is great expertise in sequencing and genomics technologies, and from a national and international perspective, the unit is at the forefront of technology with access to very powerful sequencing instruments (eg Illumina's NovaSeq as well as long read instruments, eg Oxford Nanopore GridION) and methods for single cell analysis. For high performance computations, the center uses a dedicated cluster at Lund University's super computer center (LUNARC).


The applicant shall have:

  • Doctoral degree (PhD) from appropriate research field (ie with bioinformatics and genomics as a base) or equivalent (at least 4 years) work experience or advanced studies in bioinformatics, from business, healthcare or academia
  • Experience in working with sequencing data (e.g. WGS, WES or RNA-seq)
  • Experience in working with a terminal based in Linux environment and in working with at least one scripting language (eg Python, Perl or R)

Reference number PA2019/3381

Last application date 04.Nov.2019

For details click here

POSTDOCTORAL ASSOCIATE in Structural Bioinformatics

Established in 1930, Duke University School of Medicine is the youngest of the nation’s top medical schools. Ranked tenth among its peers, the School takes pride in being an inclusive community of outstanding learners, investigators, clinicians, and staff where traditional barriers are low, interdisciplinary collaboration is embraced, and great ideas accelerate translation of fundamental scientific discoveries to improve humanhealth locally and around the globe.

The Postd octoral Appointee holds a PhD or equivalent doctorate (e.g.ScD, MD, DVM) . Candidates with non-US degrees may be required to provide proof of de gree equivalency.1. A candidate may also be appointed to a postdoctoral position if the candidate has completed all of the requirements for a de gree but the degree has not been formally conferred: in this case, the c andidate may present evidence of completion of the degree requirements, together with a statement documenting the date on which the degree is to be conferred.If the degree is not conferred by this projected date, the postdoctoral appointment may be terminated.

Needed to enablethis work:

Background in structural bioinformatics or structural biology Potential tocontribute bothto technical enhancements in the Phenixsoftware system and theMolProbity web service, and also to b asic research that coupleslarge-scale analysis of macromolecular conform ations with development of newmodel-validation tools.

1) Proficiency inat least two of our most-used programming languages (primar y: Python and C++;secondary: C, PHP, Java, and Javascript)

2) Experience insolving or analyzing macromolecular 3D structure.

For details click here

Posted on October 14, 2019

Postdoc Position in Computational Cancer Biology

A postdoc position is computational cancer biology is available in the lab of Dr. Ashley Laughney at the Weill Cornell Medical College (WCM) in NYC. The lab integrates powerful systems biology methods – including massively parallel, single cell sequencing and quantitative imaging technologies – with mouse models of metastasis to better understand lineage plasticity and immune recognition across cell states observed in development and cancer progression.

We are eager to add innovative, determined and enthusiastic researchers to our highly inter-disciplinary team and are especially interested in recruiting highly motivated candidates with backgrounds in constructing gene regulatory networks, bioinformatics analysis of single cell transcriptomic and epigenetic data, high content imaging and feature extraction methods, and machine learning. Postdoc applicants should hold a PhD, MD or doctoral level equivalent in the areas listed above or other related fields.

Interested in joining the fun? Email the following as a single PDF: (1) a cover letter describing your current and future research interests, (2) your CV, and (3) names and contact information for three references and (4) up to two reprints. Additionally, please arrange for three letters of reference to be emailed on your behalf. Postdoctoral applications will not be reviewed until all letters of reference are received. We are open to applicants from a variety of backgrounds, including both theory and experiment.

For details click here

Postdoctoral Fellow, Human Genetics (Bioinformatics)

The Institute for Health Innovation’s Healthy Nevada Project in Reno, NV is searching for Postdoctoral Fellows specializing in Human Genetics to join the research team located at the Desert Research Institute in Reno, Nevada. The Healthy Nevada Project focuses on finding associations between an extensive Electronic Medical Record database and a growing population of sequenced participants using the Helix Exome+ platform. There are two open positions broadly focused on: 1) examining relationships between genotype and phenotype in the Healthy Nevada population; 2) identifying Gene X Environment interactions as part of a newly funded NIH R01 project to examine genetic effects and environmental carcinogens with cancer.

Successful candidates will use and develop statistical genetics tools and develop techniques to examine human genotypes and phenotypes to generate focused hypotheses driving the identification of disease targets. The postdoctoral fellows will collaborate with a team of computational molecular biologists and clinical data scientists, clinicians and physicians to study medical and sequencing data to uncover links to and regulation of diseases relevant to Northern Nevada. This position will be responsible for supporting high-level genomics and phenomics research and publications.

Required Qualifications

  • Ph.D. in bioinformatics, molecular biology, biochemistry, computer science, or related fields from and accredited institution
  • Minimum three years of experience with genomic data or electronic medical data
  • Proven research experience and publication records

Preferred Skills

  • Genetics/genomics data analysis: GWAS, Whole Genome/Exome Studies, WGES, PheWAS
  • Knowledge and experience with gene-collapsing methods
  • Strong R programming skills
  • Well-versed in Unix/Linux environments and shell scripting
  • Experience using bioinformatics tools and databases: PLINK, PSEQ, IMPUTE2, BEAGLE, UCSC Genome Browser, dbSNP, UK Biobank
  • Python and/or Perl experience

Post code: R0118752

For details click here

Posted on October 11, 2019

Postdoctoral Scientist - Bioinformatics & Functional Genomics

Principle Investigator, Dr. Megan Hitchins, is a member of the faculty of Biomedical Sciences at Cedars-Sinai Medical Center and is situated with the Center for Bioinformatics and Functional Genomics (BFG). The BFG brings together teams specializing in bioinformatics and computational biology, functional analysis of the genome and epigenome coupled with next generation sequencing, epigenetic profiling, and genome editing, to provide a complete pipeline for identifying the functional consequences of genetic and epigenetic variation in cancer risk, subtypes, and outcomes. Dr. Hitchins’ group focuses in particular on the role of genetic and epigenetic variants in high-risk cancers, and on DNA methylation markers of cancer, as applied to the detection of circulating tumor DNAs.

As an appointed Postdoc, you will work with Dr. Hitchins on germline genetic variation, RNA expression, and DNA methylation associated with cancer phenotypes. You will be supported by a Research Associate/Laboratory Manager and work within a highly integrated and multi-disciplinary group comprising senior and junior post-doctoral scientists, research technicians, clinical fellows and graduate students. You will be expected to conduct wet-lab research and statistical analyses of data (both directed and independent) under the mentorship of Dr. Megan Hitchins, submit and publish papers and posters, and make oral presentations. This post-holder must be well organized and be able to demonstrate written and oral presentation skills.

Essential job duties and responsibilities:
  • Lead research project(s) in the genomics and epigenomics of cancer that form part of the research program under the mentorship of the Principal Investigator. This will include the undertaking of intellectual, technical (wet-lab), and analytical aspects of the project(s)
  • Draft manuscripts for publication and author or co-author
  • Contribute to the drafting of grant proposals
  • Attend, contribute to, and present at laboratory group meetings and departmental meetings
  • Present research findings at national and international conferences
  • Provide miscellaneous research support (ad hoc data analysis, hypothesis development, programming, troubleshooting, etc.)
  • Lead and train incoming Graduates Students, Research Fellows, lower level Research Associates, and other related support staff and may be requested by Pl to take on specific day-to-day supervisory activities
  • Comply with all safety standards and procedures
  • Assist with the establishment and maintenance of IRB proposals and protocols relating to projects in the laboratory
  • Assist with the maintenance of database and accompanying biorepository

Educational Requirements:

  • Ph.D in a relevant area (Human Genetics/Epigenetics/Cancer Biology/Molecular or Cellular Biology)
  • At least 4 years of wet-lab experience, which may include the Ph.D training period
  • Ph.D. in a relevant area (Human Genetics/Epigenetics/Cancer Biology/Molecular or Cellular Biology)
  • At least 4 years of wet-lab experience, which may include the Ph.D training period

Requisition # 19002437

For details click here

Postdoctoral Fellow in Computational Systems Biology

The Luxembourg Centre for Systems Biomedicine (LCSB) was created within the Health Technologies Initiative from the Government of Luxembourg as one of the research priorities of the University of Luxembourg. The LCSB is an Interdisciplinary Centre of the University, independent of the faculties and it combines experimental and computational approaches to analyze complex biological systems and disease processes from a systems biology perspective. The Computational Biology Group (CBG) provides the LCSB with a solid infrastructure in developing theoretical framework for computational modeling on biomedical problems, especially in the area of network biology. The CBG group includes researchers with theoretical, computational and wet lab backgrounds, thereby providing an unusual interdisciplinary environment.

The Computational Biology Group seeks a highly skilled and motivated Postdoctoral fellow to work on an exciting project that aims at developing a computational framework for modeling stem cell-niche interactions to understand the mechanisms of tissue homeostasis and regeneration. In particular, the selected candidate shall develop a cell-cell interaction network-based computational approach, using single-cell transcriptomics data, to model cell populations dynamics and design strategies for cell rejuvenation. Research will be focused on stem cells of skeletal muscle and to design strategies for enhancing regeneration in the aging muscle tissue. In addition, he/she will participate in the project management and planning, including the supervision of one Ph.D. student. This is a collaborative project with the Universitat Pompeu Fabra in Barcelona, where the experimental validation of the computational predictions will be conducted.

Your Profile

  • Ph.D. degree in computer science, engineering, physics or a related discipline
  • Strong computational skills
  • Prior experience in mathematical modelling of biological networks is strongly desired
  • A strong first-author publication record in the fields of Bioinformatics and Computational Biology
  • Excellent working knowledge in English

All applications should be sent in electronic version before December 1st, 2019.

Ref: 50015159

For details click here

Posted on October 09, 2019

Postdoctoral Fellow - Computational and Statistical Cancer Genomics

The Center for Cancer Research (CCR) is working to solve the most pressing problems in the field through basic, translational and clinical cancer research to create the cancer medicines of tomorrow and is dedicated to preparing the next generation of cancer researchers. Read more about CCR, the benefits of working at CCR and hear from our staff on their CCR experiences. ​

Successful candidates will have the advantage of working with a world-leading team in computational cancer biology and collaborate with experts in statistics, machine learning and related algorithms, etc., while at the same time having ready access to clinical cancer samples, including fresh tumor specimens from the operating theater, with which one can address new questions in real time. Our group is evolving to lead a novel and comprehensive multi-omics sequencing platform of patient tumors at the NCI, which will be unprecedented in its extent and unique possibilities.

Qualifications for this position include Doctor of Philosophy (Ph.D.) in computational sciences or related fields. Candidates should be proficient in bioinformatics, data analysis, algorithms, combinatorial optimization, machine learning and computational biology. Candidates with a strong background and track record in big data analysis, especially in the context of cancer genomics as well as other -omics, will be preferentially considered. A new postdoctoral fellow is expected to be highly motivated and productive, work independently as well as collaboratively with other lab members, and have a strong work ethic and intellectual commitment to the cancer research. Proficient communication in both spoken and written English is strictly required, and excellent interpersonal and organizational skills are highly desired.

For details click here

Postdoctoral Fellow - Cancer Genomics and Epigenomics

The Center for Cancer Research (CCR) is working to solve the most pressing problems in the field through basic, translational and clinical cancer research to create the cancer medicines of tomorrow and is dedicated to preparing the next generation of cancer researchers. Read more about CCR, the benefits of working at CCR and hear from our staff on their CCR experiences. ​

The CCR is dedicated to preparing the next generation of cancer researchers and offers a training environment that is second-to-none in quality of science and mentoring by outstanding principal investigators, including nine members of the National Academy of Science and eight members of the National Academy of Medicine. CCR offers fellows access to cutting-edge technologies and cores, a highly collaborative environment, awards and research forums to recognize outstanding post docs, continuous scientific symposia and lectures featuring leading researchers, a strong commitment to translational research, and a vibrant clinical research program housed in the world’s largest dedicated research hospital, the NIH Clinical Center.

Candidates should have a Ph.D. and/or M.D. degree in molecular biology, cancer biology or a related field, received within the last three years or scheduled to receive very soon. Successful candidates should have a deep understanding and experience in various genomic and epigenomic technologies, such as whole-genome sequencing, ChIP-seq and single-cell sequencing. A new postdoctoral fellow is expected to be highly motivated and productive in pursuing his/her research projects, work independently as well as collaboratively with other lab members, and share the lab’s interest and vision for the future of cancer classification and diagnostics. Proficient communication in both spoken and written English is strictly required, and informatic analysis skills of huge datasets will be a plus.

For details click here

Posted on October 07, 2019

Senior Bioinformatics Analyst

Weill Cornell Medicine is a comprehensive academic medical center that's committed to excellence in patient care, scientific discovery, and the education of future physicians in New York City and around the world. Our doctors and scientists-faculty from Weill Cornell Medical College, Weill Cornell Graduate School of Medical Sciences, and the Weill Cornell Physician Organization-are engaged in world-class clinical care and cutting-edge research that connect patients to the latest treatment innovations and prevention strategies.

Job Responsibilities

  • Responsible for biostatistical analysis and data interpretation for large data sets. Performs genomic analyses including mutation analyses, integrates datasets and generates figures summarizing results and key findings.
  • Implements pipelines for detecting and annotating mutations from single patient, whole-exome sequencing datasets.
  • Implements primary processing pipeline and quality control; runs pipeline(s) on all new samples.
  • Implements procedures for disaster recovery and resuming failed jobs.
  • Works closely with bioinformatics team(s) to define specifications for information systems, relational datasets, and sequencing analysis.
  • Develops novel algorithms and tools for high throughput data analysis.
  • Explores new computing platforms, performs benchmarking and implements data sharing.
  • Performs other related duties as assigned.


  • Bachelor's Degree in related field


B.S. in molecular biology, genetics, bioinformatics, biomedical engineering or computer science desired. MS or PhD in systems biology, bioinformatics or computer biology is highly desired.

Approximately 3 years of related experience.

Bioinformatics analysis expertise as demonstrated by multiple published papers.

Excellent programming expertise in at least one of the following languages: C, C++, Java or Python.

Experience in biology and/or cancer biology is preferred.

Experience working in an academic environment is highly desired.

Previous experience in designing and building bioinformatics workflows preferred.

Previous experience analyzing and summarizing genomic datasets preferred.

Req Number 26581

For details click here

Computational Postdoctoral Associate

About the Center for Microbiome Informatics and Therapeutics (CMIT) was founded in 2014 to deliver therapeutics to patients with non-infectious, chronic, microbiome-associated disease. Incidence of microbiome-associated diseases like inflammatory bowel disease, Type 1 and Type 2 diabetes, autism, allergy, and asthma are on the rise in urban and industrialized populations and there is an urgent need for a new kind of intervention that is not only safe and effective but low-cost. We aim to do this by targeting the microbiome itself to restore health.

Apply your computational and mathematical skills to the analysis of large multimodal datasets to decipher interactions between the human microbiome and the human body, advancing translational microbiome research at the Center for Microbiome Informatics and Therapeutics.


  • Ph.D. in Computer Science, Bioinformatics, Mathematics, Statistics or another relevant field

  • Experience with analyzing complex datasets

  • Familiarity with, or strong desire to learn about, next generation sequencing data analysis tools

  • Comfortable applying relevant statistical methods

  • Fluency in Unix, standard bioinformatics tools, and programing languages (primarily Python)

  • Outstanding written and oral English communication abilities

  • Independent, creative, highly-motivated, highly collaborative, and flexible team member

  • Interest in clinical trial design, patient-powered research, and the human microbiome

  • Experience in high-performance and/or cloud computing is helpful

Job ID: 0180

For details click here

Posted on October 04, 2019

Bioinformatician:  Proteomics data pipelines

We are seeking an enthusiastic Bioinformatician to join the Proteomics Team at the European Bioinformatics Institute (EMBL-EBI). The team is responsible of the maintenance and further development of the PRIDE (PRoteomics IDEntifications) database and related tools and resources. PRIDE is a world-leading international proteomics database, a founding member of the ProteomeXchange Consortium that is capturing large-scale mass spectrometry (MS)-based proteomics data from the scientific community and currently managing hundreds of TBs of data. In addition, the team aims to re-use and integrate proteomics data in other EMBL-EBI added-value resources such as UniProt, Ensembl and Expression Atlas.

The post holder will be working in the context of a BBSRC/NSF grant called “PTMExchange” which aims to: (i) analyse public proteomics datasets with the objective of disseminating high-quality PTM (post-translational modification) data from PRIDE into UniProt; and (ii) develop all the related infrastructure, including further developments in PRIDE, ProteomeXchange and the related data pipelines. The post holder is also expected to collaborate closely with the other partners in the grant and potentially other external stakeholders. The post holder may also have to contribute to other tasks related to the maintenance and development of the services and tools offered by the team.


  • Further develop and benchmark open proteomics data analysis pipelines, envisioned for the analysis of PTM data.
  • Develop infrastructure for the PTMExchange project, including further developments in PRIDE and ProteomeXchange.
  • Analyse public proteomics datasets.
  • Collaborate with the EMBL-EBI UniProt team to disseminate and integrate proteomics data from PRIDE into UniProt.

You must have a degree in computer science or bioinformatics and be able to demonstrate a minimum of 3 years’ experience in software development and/or bioinformatics data analysis, ideally with some knowledge of cloud technologies.

Closing Date: 29 October 2019

Reference Number: EBI01514

For details click here


The Erasmus MC Cancer Computational Biology Center (CCBC) is a bioinformatics and computational biology research facility. CCBC aims to innovate, facilitate and enhance omics-based cancer research, including genomics and proteomics, within the Erasmus Medical Center Cancer Institute. The objective is to develop and maintain a structured, dedicated and robust infrastructure for combining ongoing activities and creating synergy with different cancer research groups.

As a Bioinformatician you will collaborate in a multi-disciplinary team and should contribute significantly to solve general and specific questions within the cancer research field using your bioinformatics expertise. To accomplish this task, new in-house and publicly available Whole Genome Sequencing, RNA-seq, NGS single cell and proteomics data sets will be interrogated using both publicly and in-house developed computational methods. Furthermore you will develop tools to create and support a sustainable bioinformatics environment that strongly contributes to innovative computational cancer research. You will carry out state-of-the-art work on computational cancer biology using your excellent computer science skills. In a inspiring work environment, you will be a crucial member of a team that facilitates ongoing bioinformatics efforts and build robust long-lasting CCBC infrastructure.

Qualifications and skills: You have a BSc or MSc degree in Informatics, Bioinformatics or related field with, at least, two years of experience in (Bio)informatics, Statistics or Computer Science. Furthermore demonstrated excellent programming skills in R, Bash and preferably in Python and/or Java are required, together with proven experience in relational databases management systems, such as MySQL or PostgreSQL and Linux operating systems. Experience in analyzing next-generation sequencing data or mass spectrometry-based proteomics data is also a prerequisite.

For details click here

Posted on October 02, 2019

Postdoctoral studies in bioinformatics to understand T cell biology

The Department of Medicine, Solna, is one of the largest departments at Karolinska Institutet. The department consists of several divisions that are separated into different research groups. The core activities of the department are research, doctoral education and undergraduate education for medical and biomedical students. The research has three main profiles: allergy, cardiovascular medicine and inflammatory diseases.

Duties The postdoc will be collaborating with wet-lab scientists in both labs. The postdoc is expected to plan, execute and interpret bioinformatic analyses of primarily single-cell RNA sequencing data obtained from T cell receptor and mRNA sequences through Illumina sequencing of libraries obtained through the 10x Genomics workflow. In addition, the postdoc is expected to perform bioinformatic analyses of other datasets available in the labs. There will also be possibilities to analyze epigenetic data, primarily obtained using the ATAC-Seq platform. The postdoc is expected to carefully document the analyses, and to communicate the results within and outside of the research group. The postdoc is expected to work both independently, and as a collaborative and helpful team member. The duties furthermore include actively taking part in research meetings, contributing to the well-functioning of the local research environment, and assisting/training/supervising other lab members in minor computational analyses.

We are looking for a highly motivated, ambitious and talented person with excellent theoretical background and practical experience in bioinformatics, and genuine interest in T cell immunology. Prior experience in working with 10x-based sequencing datasets, ideally including feature barcoding will be highly valued. Excellent communication skills that allow for productive interactions with biologists lacking bioinformatics background will be key. This includes the willingness and ability to explain, justify and discuss analyses/model choices with other lab members and supervisors. The position requires dedication to the project, a high level of accuracy and attention to detail, and a strong desire to excel. A personal fit into the team will be of importance. A proactive and problem-solving attitude will be valued highly. Excellent communication skills in both spoken and written English are required.

Reference number 2-4902/2019

Last application date 27.Oct.2019

For details click here

Data Analyst / Bioinformatics Specialist

The Montgomery lab is looking for a Data Analyst / Bioinformatics Specialist to conduct genetic analyses, perform power calculations and statistics, present data and prepare reports, work independently and as a team player and perform other duties as assigned by supervisor. For additional information please visit: .

Bachelor’s degree in Math, Statistics, MIS, Computer Science, Biostatistics, Epidemiology or related field and one year of relevant statistical and/or analysis experience and 3 – 5 years of relevant experience Applied analysis experience essential. Superb computer skills including experience with R, S-plus or similar statistical package required. Must have excellent communication skills and the ability to deal with diverse personalities and cultures.

Posting Number 000041

For details click here

Posted on September  30, 2019

Post-Doc Research Associate - Agricultural Bioinformatics & Data Sharing

The Department of Statistics and the Department of Agronomy and Horticulture at the University of Nebraska-Lincoln are pleased to recruit candidates for a postdoctoral position in agricultural bioinformatics and modern data management and sharing. This position is supported by the Quantitative Life Sciences Initiative, a university-wide program supporting the integration of the data and life sciences. We are seeking candidates with expertise in crop genetics, bioinformatics, and statistics, who have demonstrated a high level of skill in data management, bioinformatics and computational biology, and FAIR data sharing in the plant sciences.

The successful candidate will be expected to teach at least one regular course per academic year in bioinformatics and computational biology. In addition, the successful candidate will participate in program and curriculum development, including graduate seminars and workshops.

Minimum Required Qualifications:

• PhD in Statistics, Bioinformatics, Computational Biology, or closely related field.
• Experience with one or more data types in plant breeding and genetics and FAIR data principles, as demonstrated by refereed papers, presentations, or other completed projects, e.g., PhD thesis.
• Computing and methodological skills appropriate to the sharing and analysis of data types with which the candidate has experience.

Requisition Number:  F_190162

Application Review Date: 10/31/2019

For details click here

Computational Scientist/Bioinformatician

We are seeking a Computational Scientist to work in Professor Karlsson Hedestam’s group at the Department of Microbiology, Tumor and Cell Biology (MTC) at Karolinska Institutet in Stockholm. The group studies adaptive immunity and immunogenetics. For more information about the research, see

Adaptive immune responses depend on highly polymorphic gene segments that recombine during lymphocyte development to form highly diverse repertoires of antigen receptors. The Karlsson Hedestam group has developed methodology to study these gene segments in healthy populations and patient cohorts using next generation sequencing (NGS) and computational analyses (see These projects generate large amounts of NGS data and the group currently needs to expand its bioinformatics support and increase its ability to develop new algorithms to solve bioinformatic problems for several ongoing research projects.

The successful candidate will have a solid background in statistics and computational biology, expertise in statistical and bioinformatics software and an ability to work in a multidisciplinary research environment. The individual should be highly driven and motivated to solve problems, as well as be able to work independently while also being able to communicate effectively with other members of the team. The candidate should have documented research experience over the past two years.A proven track-record of developing software tools that have been published in high-quality journals is valued. Demonstrable expertise implementing algorithms for sequence alignment, sequence clustering, and distance calculations will be preferred, as will experience with phylogenetic inference and NGS analysis. Extensive experience with Python, R or similar programming languages is required.

Assessment criteria

A selection will be made among qualified applicants using the following bases of assessment:

- Knowledge of Python, R and bash as well as experience with Github or related  resources

- Experience of working in a Linux environment

- Documented experience in applying computational analysis to NGS data

Reference number 2-4869/2019

Last application date 17.Oct.2019 11:59 PM CET

For details click here

Posted on September  27, 2019

Bioinformatics, Postdoctoral Research Fellow

Founded in 1957, UNLV is a doctoral-degree-granting institution comprised of approximately 31,000 students and more than 3,900 faculty and staff. To date, UNLV has conferred more than 136,000 degrees, producing more than 120,000 alumni around the world. UNLV is classified by the Carnegie Foundation for the Advancement of Teaching as an R1 research university with very high research activity.

The Postdoctoral Research Fellow will conduct bioinformatics research for the Personalized Medicine COBRE (Center of Biomedical Research Excellence) Genome Analysis and Acquisition Core at the Nevada Personalized Medicine Institute at UNLV. The successful candidate will be experienced in bioinformatics analysis, genetic data analysis, make corresponding tables and figures, and prepare reports for projects. The postdoc will be responsible for analyzing Next Generation Sequencing (NGS) data, data processing and analysis, including building analysis pipelines, databases, and visual/graphic display. Additionally, the postdoc will assist with database and server hardware management; install and test new versions of the database and ensure data is secure. They will contribute to research grants and publications, and assist with writing grant proposals and journal articles.


A Doctoral degree (e.g., Ph.D.) received within the last five years in Bioinformatics, Biostatistics, or Computer Sciences is required.   Credentials must be obtained prior to the start of employment. The ideal candidate should also have the following knowledge, skills, and abilities:

  • Proven computational skills, programming skills (Python, C/C++, and R), and experience in performing data analyses of NGS data are required.
  • Practical experience in genomic data management, high-dimension data analysis is required.
  • Knowledge and experience in SAS programming, data analysis and statistical modeling are required.

For details click here

Research Scientist (f/m/d) Bioinformatics

Evotec is a leader in the discovery and development of novel small molecule drugs with operational sites in Europe and the US. The Company has built substantial drug discovery expertise and an industrialized platform that can drive new innovative small molecule compounds into the clinic. In addition, Evotec has built a deep internal knowledge base in the treatment of diseases related to neuroscience, pain, inflammation and metabolic diseases. Leveraging these skills and expertise the Company intends to deliver superior science-driven discovery alliances with pharmaceutical and biotechnology companies.

We are applying advanced methods in Transcriptomics, Proteomics, CRISPR and compound screening to generate large volumes of biological data. In close collaboration with wet-lab and project scientists, the bioinformatics team analyzes these data to generate knowledge about gene function and compound activities in various disease areas. As integral part of the data analysis, we develop our own pan-omics software platform.

Your key responsibilities

  • Develop tools and methods for multi-omics data analysis, e.g. high throughput RNA-Seq, Genomic Sequencing and Proteomics, within our interactive pan-omics platform
  • Apply these methods to large-scale multi-omics data sets within several projects
  • Work with researchers in interdisciplinary project teams in multiple research programs

​Your Qualifications

  • Master’s degree or PhD in bioinformatics, computational biology or a related natural science discipline
  • Experience in multi-omics data analysis and method development
  • Demonstrated strong programming skills in R and at least one additional programming language (e.g. Python, JavaScript)
  • Proficiency in working with bioinformatics tools and understanding of common bioinformatics algorithms

For details click here

Posted on September  25, 2019

Postdoctoral Scientists: Quantitative Biology/ Bioinformatics

Two Postdoctoral scientists positions in Quantitative Biology are available in the laboratory of Dr. Ebrahimi. The qualified candidates will be working on projects related to viral/cancer immunity and evolution. The overall aims of the projects are to develop and apply multi-omic approaches to mine and deconvolute complex datasets including genomic, transcriptomic, and proteomic data from viruses, hosts, and tumors to: a) discover population-specific virus-host interaction mechanisms and identify underlying genetic and evolutionary sources; b) delineate gene expression profiles in cancer and investigate their association with germline/somatic mutations, viral status, and other clinical data.

Texas Biomed provides unique research and training opportunities for postdocs, including access to exceptional resources such as BSL4, SNPRC (Southwest National Primate Research Center), a vigorous infectious disease program on HIV, malaria, schistosomiasis, Ebola, Zika, hepatitis C and TB, and outstanding imaging, computational, and sequencing facilities. Texas Biomed faculty have adjunct appointments at two universities in San Antonio (UTSA and UTHSCSA), which provide a wide range of additional training and career development opportunities for postdocs at Texas Biomed.

EDUCATION/EXPERIENCE/SKILLS: Required: Ph.D. in a quantitative science discipline such as bioinformatics, computer science, mathematics, statistics, physics, or engineering. Skills in working with large datasets and developing tools and algorithms for analysis of large datasets. Coding in one or more platforms, e.g. Python, R, Matlab. Passion for learning quantitative biology. Preferred: Ph.D. in quantitative biology or bioinformatics. Experience in analyzing RNAseq, GWAS, Hi-C and other large biological datasets. Familiarity with databases such as UCSC Genome Browser, 1000Genomes, TCGA, and ICGC. Experience in using standard bioinformatics packages such as Samtools, Cufflinks, Tophat. Knowledge of statistics. Knowledge of evolutionary biology, and viral/cancer immunity.

For details click here

Postdoctoral Research Associate I, Bioinformatics

The Center for Innovation in Brain Science (CIBS) is the intellectual home for Neuroscience research across the University of Arizona campus. We specialize in research focusing on a cure for four neurodegenerative diseases; Alzheimer’s Disease, Amyotrophic Lateral Sclerosis (ALS), Multiple Sclerosis, and Parkinson’s Disease. Our mission is to bring the innovations in brain science of the future to those who need a cure today. We are an interdisciplinary lab composed by computer scientists, bioinformaticians and biologists dedicated to researches from developing advanced mathematic algorithms in statistics/machine learning to applied real-world disease modeling. Our researches are fund by NIH. We work with a wide spectrum of disease conditions with a focus on neurodegenerative diseases (Alzheimer’s disease, MS, ALS, and Parkinson Disease). We collaborate with clinicians, wet-labs at UA as well as labs at world-class institutions, such as Columbia, Stanford, Duke, Mayo Clinic, Harvard/Broad, Emory, and Baylor, providing enormous opportunities for exciting research projects and high impact publications.

We are seeking a motivated and high-quality post doc to join our team to work on computational systems biology and human diseases modeling. The expectation is to focus on real-world disease modeling and have a strong background in biology and/or bioinformatics. The candidate will be responsible for processing and analyzing multi-scale omics data and applying cutting-edge methods to reconstruct disease models and generate in-silico hypothesis on drug targets. The successful candidate will be supervised by Dr. Rui Chang and will have opportunity to develop their own research ideas as they fit within the general research interests of our group. The post is based at the University of Arizona, Tucson campus, within the Center for Innovation in Brain Science.

Minimum Qualifications:

PhD degree in biology, bioinformatics, biostatistics, computational biology or a related field.

Demonstrated experience in writing scientific papers in analyzing omics data towards real-world disease modeling.

Preferred Qualifications: Working experiences in analyzing NGS data, including not limited to WGS, WES, RNA-seq data.

Familiarity with sequencing data tools such as Picard tools, SAMtools, FastQC, aligners such as BWA, Tophat, STAR, variant calling pipelines such as GATK tools / Queue, SAMtools mpileup, annotation packages and resources such as Ensembl, GENCODE, BLAST, GSEA, mSigDB, GWAS catalog, OMIM, KEGG, online data resources such as GTEx, TCGA, GEO, dbGaP, genotype processing, QC and analysis tools such as PLINK, IMPUTE2, relevant R packages such as limma, edgeR, MatrixEqtl, RNAseq tools such as featureCounts, HTSeq, Cufflinks.

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Posted on September  23, 2019

Postdoctoral Fellow in single cell genomics and statistical genetics of complex eye diseases

We are seeking a highly motivated and creative postdoctoral fellow to jointhe Segrè lab interested insingle cell genomicsand integrative analysisoffunctional genomics andhuman genetics to uncoverkeycausal mechanisms and pathogenic cell types forcomplex eye diseases. The Segrè lab ispart ofthe Ocular Genomic Institute and the Department of Ophthalmology at Massachusetts Eye and Ear (MEE) and is affiliated with the Broad Institute of Harvard and MIT. MEE isa teaching hospital of Harvard Medical School and is an international leader for treatment and research in both Ophthalmology and Otolaryngology. The Segrè lab develops novelstatistical and computational methods that integrate genome-wide association andsequencing studies (GWAS) with functional genomics (e.g., eQTLs) datafrom relevant tissues and cell types, to identify new causal genes and regulatory mechanisms of common eye diseases, including glaucoma, age-related macular degeneration, and diabetic retinopathy, with the ultimate goal of proposing new preventative and therapeutic targets for eye disease.

The successful candidate shouldhavea strong background in statistics, statistical genetics,mathematics, computational genomics, bioinformatics, or a related quantitative field, strong programming skills, and be excited to contribute to advancing science and medicine of complex eye diseases.Research projectswill involve developing statistical and computational methods for analyzingsingle cell RNA-seqof human eye tissuesand whole genomesequencing data,and integration with genome-wideassociation studies to detectgene expressionchanges and genetic regulation associated with differentocular cell types and complex eye diseases.


• (bio)statistics,statistical genetics, human genetics, computationalgenomics,bioinformatics, mathematics, computer science, or a related quantitative discipline required.

•Strong programming skills and in-depth experience with severalprogramming languages required, e.g.,Python, R, Matlab, C++.

•Experiencewith Unix/Linux environments required (including shell scripting).

•Experience with large-scale data analysis, algorithm development,and statisticsrequired;work with next-generation sequencing, single cell RNA-sequencing, GWAS, or other -omicsdata preferred.

For details click here

Postdoc in Systems Immunology

The Kastenmüller lab focuses on cell-cell interactions, cellular localization and migration between and within tissues during homeostasis, infection and immunotherapy as well as the development of new animal models. To address these topics, we combine classical immunological assays like multicolour flow cytometry with cutting edge microscopy including 2-photon imaging of live animals, confocal analysis of tissue sections and whole mount preparations. The Institute is engaged in multiple collaborations with Max-Planck Institutes, other departments at the University of Würzburg, as well as with other leading national and international research groups.


  • PhD in life science
  • Sound knowledge and strong interest in immunology, cell biology or biochemistry
  • Experience with conditional knock out mice and animal handling
  • Fluent speaking and writing skills in English (German is not required)
  • Motivation, reliability and dedication to work in an academic research lab are a must

Full applications with code No. 2019/SI 05 should be sent via mail to in a single PDF file until 31.10.2019.

For details click here

Posted on September  20, 2019

Postdoctoral Scientist: Microbiome Computational Biology

The Hudson Institute is a premier Australian discovery and translation medical research institute. By unravelling the biology underlying disease the Institute is using this information for transformative and innovative solutions to major health problems. The Hudson Institute is a partner of the Monash Health Translation Precinct (MHTP) along with Monash University and Monash Health.

The opportunity exists to join the Microbiota and Systems Biology Laboratory as a Postdoctoral Scientist. This role will focus on developing and applying cutting-edge microbiome computational analysis approaches to complement existing bacterial culturing and genomics technologies within the laboratory. The position will involve investigation, analysis of large high-throughput metagenomics and transcriptomic research and clinical datasets and provide the opportunity for close interactions with laboratory based research scientists and clinical scientists.

Essential Skills

  • An PhD in Biology, Bioinformatics, Computational Biology or Computer Science
  • Demonstrated skills in Python and/or R programming
  • Expertise in Linux/Unix operating systems
  • Proven ability to work independently and manage multiple projects simultaneously
  • Excellent verbal and written communication skills
  • Strong attention to detail

Ideal Skills

  • Knowledge of bacterial genomics, metagenomics and transcriptomic analysis methods and algorithms
  • Demonstrated expertise in the analysis of next generation sequencing datasets
  • Experience in the analysis and interpretation of large datasets and delivering complex projects to completion.

For information, please contact:

Applications: Please send a copy of your current CV and cover letter outlining your skills and experiences to by COB Wednesday 3 October 2019.

For details click here

Postdoc in genome-scale modeling of metabolism

The Division of Systems and Synthetic Biology, located in the Department of Biology and Biological Engineering at the Chalmers University of Technology, is one of the world leading research groups within the field of systems biology. The Division is composed of 7 labs and faculty, and each group leader is responsible for directing particular research themes within the realms of quantitative systems and synthetic biology. The research interests within the division range, from trying to understand fundamental metabolism, to highly applied research on the production of renewable energy, up to studying metabolic-related diseases such as cancer.

We are seeking a motivated, creative post-doctoral candidate interested in genome-scale modeling in the context of metabolism and protein expression. Your major responsibilities are to independently drive the research project forward in a criticial and effective manner, to organise and manage models and data to a high standard, to regularly communicate results to your colleagues, and to disseminate your main conclusions to the scientific community in the form of meetings, conferences and peer-reviewed articles. You should be able to apply critical and creative thinking on a regular basis.

Qualifications : The ideal candidate would have a PhD degree, not older than three years, in biotechnology, bioengineering, systems biology, computational biology, or bioinformatics. You should have experience with genome-scale metabolic modeling, constraint-based analysis e.g. flux balance analysis, omics data analysis, integration of omics data with constraint-based models. Previous work experience with proteome-constrained models would be an advantage. You are also expected to be somewhat accustomed to teaching, and to demonstrate a good potential for working in research and education.

Application deadline: 1 November 2019

For details click here

Posted on September  18, 2019

Postdoctoral fellowship in Microbiome Bioinformatics

One position is available as Postdoctoral fellow - a 3 year engagement –at Institute of Clinical Medicine, University Of Oslo – funded by a prestigious grant from the Research Council of Norway. We are seeking a skilled and ambitious co-worker to take on a challenging project funded by the Research Council of Norway (RCN), “Targeting the Gut-Heart axis”, which focuses on the role of gut microbial functions in heart failure and acute coronary syndromes. The research group CliMic (Clinical microbiology and Microbiota medicine) led by Associate professor Marius Trøseid, has over the past 6 years established a strong clinical microbiome research environment. In the present project, the use of large-scale metagenomics, metabolomics and proteomics, as well as integrated multi-level bioinformatics from unique clinical cohorts, including randomized controlled trials, will provide novel insights into microbial driving factors of cardiovascular disease, and hopefully pave the way for novel treatment opportunities. The candidate should have an ambition to form an independent research track, and will be offered opportunities to do so. The position will require advanced multi-level bioinformatics, which will be performed in collaboration with our collaborator, Professor Karsten Kristiansen, University of Copenhagen.

Qualification requirements:

  • Applicants must hold a relevant PhD
  • Experience with microbiome research is a prerequisite
  • Documented experience with relevant bioinformatic and statistical methods (including use of R) is a prerequisite
  • Documented experience with multi-level bioinformatics is an advantage

Søknadsfrist 20. oktober 2019

For details click here

Postdoctoral position in the Nephrology and Renal Transplantation Research Group

The research group of prof. dr. Maarten Naesens is a part of the Nephrology and Renal Transplantation Research Group. His research aspires to tackle important questions in the rejection mechanisms of the kidney transplants, by translating molecular data into clinically applicable knowledge. The research group has a Renal Transplantation Biobank, which assembles all clinical, histological and molecular (epigenetic, genetic, proteomic and transcriptomic) data of all adult renal transplant patients transplanted in UZ Leuven since March 2004. Human data are coupled with in vitro data and data from relevant animal models. The granularity of the database and sample collection, together with long-term follow-up of the patients, allows the evaluation of the major unanswered questions in the field.


As a postdoc, you will perform bioinformatics approaches to get more insights in the rejection mechanisms after kidney transplantation. You will supervise and support PhD students and contribute to several research projects of the research group, have a collaborative spirit and liaise with collaborators, clinicians, lab technicians, biostatisticians, bioinformaticians, immunologists/biologists, but also technology transfer experts and industrial collaborators.


We are looking for a computational biologist who is highly motivated, well organized and dynamic with a high level of independence and creative thinking:

  • PhD in bioinformatics, computational biology, molecular biology or similar.
  • A broad bioinformatics experience with a good working knowledge of transcriptomics / genetics/ pathway biology / immunology and deep scientific expertise in a number of disciplines including omics technologies and data analysis, methodology for biomarker discovery. Practical skills (wet lab activities) in molecular/cellular biology/immunology are a plus.
  • Proficiency in appropriate programming languages and software (R, SAS, Python, IPA, Microsoft Office).

You can apply for this job no later than October 31, 2019

For details click here

Posted on September  16, 2019

Postdoc: Computational Cancer Epigenomics / Single-Cell Analysis / Machine Learning

We are looking for computational biologists at post-doctoral level who want to pursue ambitious research in cancer and developmental genomics. Our group ( at St. Anna Children’s Cancer Research Institute (CCRI) strives to understand cellular development in cancer. Our projects center around two core themes:

  • Integrative analysis of tumors / tumor models using multi-omics technologies (transcriptomics, epigenomics, proteomics). We extend our previous work on histiocytoses, and aim to dissect intra-tumor development in other solid tumors (neuroblastoma, sarcoma, lymphoma).
  • Using computational modelling to connect complex biomolecular data to interpretable biological mechanisms. To this end, we apply machine learning to large data collections and we implement interfaces that ease access to these methods for experimental scientists.

As a postdoc, you will:

  • Join a recently established, small, and highly cooperative team, dedicated to support your personal and professional development.
  • Take charge of multiple projects within both themes described above. You bring in your own ideas and expertise to make the projects your own.
  • Analyze multi-omics data, including single-cell RNA-seq and ATAC-seq, ChIP-seq, RRBS/WGBS, and quantitative proteomics from pediatric solid tumors (blastomas, sarcomas, and histiocytoses).
  • Write code to scrape public data (GEO, TCGA, GTEx, etc.), train conventional or deep machine learning models, and apply them to your single-cell data.

Your qualifications:

    • PhD in a relevant subject (bioinformatics, genomics, molecular biology, cancer, etc.)
    • At least one first-author publication in a reputable journal.
    • Essential: Good programming skills (R or Python); good understanding of statistics.
      Desirable: Comfortable working in a remote Unix computing environment.
    • Essential: Extensive experience with multi-omics data analysis (e.g., RNA-seq, ATAC-seq).
    • Desirable: Experience with single-cell technologies.
    • Essential: Experience with commonly used machine learning frameworks.
      Desirable: Proficiency with deep learning methods.

All applications received before November 4th, 2019, will be considered.

For details click here

Postdoctoral Fellow in Computational Biophysics of Allostery

The lab of Igor Berezovsky at the Bioinformatics Institute is looking for highly motivated postdoctoral researcher in Computational Biophysics/Bioinformatics. The project is a continuation of the group's innovative work in the field of protein allosteric regulation (PLOS Comp Biol 12, e1004678 (2016), Curr Opin Struct Biol 37, 1 (2016), Bioinformatics 33, 3996 (2017), PLOS Comp Biol 14, e1006228 (2018), Nucl Acids Res 47, D265 (2019), Curr Opin Struct Biol 56, 18 (2019), Structure 27, 866 (2019)). It includes a work on the molecular model of allosteric regulation with the focus on inducing required allosteric signaling, exploring and tuning effects of the ligand-binding, and developing in silico approaches for the design of allosteric drugs. Collaboration with experimental groups on the validation of computational predictions will also be continued (Biochemistry 56, 228 (2017)).

The candidate should have a strong background in physics and mathematics, biophysics, bioinformatics and computational biology, structural biology, or computational sciences. Previous experience in physics, computer science, bioinformatics or applied statistics will be a plus. The candidate should also possess strong quantitative skills and be highly proficient in at least one major programming language, including Python or C/C++.

Applications containing the following should be sent by e-mail to Group Leader Igor N. Berezovsky:

For details click here

Posted on September  13, 2019

Computational Biologist (Systems Immunology)

The Ucar laboratory at The Jackson Laboratory for Genomic Medicine in Farmington, CT is seeking outstanding individuals to join our team to work at the intersection of Computational Biology and Immunology to perform analyses and develop methods to drive forward our understanding of how immune system and immune responses are changing with age in human and mice. For this, we generate state-of-the-art genomics data (ATAC-seq, CITE-seq) from primary human cells and develop computational methods to analyze and integrate these data.

You will work closely with an interdisciplinary team of scientists including clinical and immunologist collaborators as we continue to build systems immunology pipelines and use them in exciting and novel ways. Your work will focus on age and sex-related variation in the immune system and in immune responses.


  • Develop new methods to analyze and interpret unpublished Next Generation Sequencing (NGS) data from human/mice immune cells.
  • Use novel and existing methods to analyze immune-related datasets.
  • Clearly and concisely present data verbally and in written forms.
  • Work with lab members and external collaborators. Provide expertise and input when needed.


  • BS or MS degree in Bioinformatics or relevent biological sciences degree. Incumbents who have not achieved Masters degree may compensate for lack of a degree with  at least five years of professional bioinformatics work experience.  Works under close supervision.
  • Must have a strong experience and interest in biology and the immune system
  • Must be a strategic thinker, who is highly motivated, action-driven and can get the job done.
  • Must be collaborative, proactive and flexible in changing direction and methods when needed
  • Must have experience programming (R, Python or similar) can take an idea and implement it in code.

Job ID 2019-26736

For details click here

Postdoctoral Fellow - Bioinformatician

According to the National Institute of Health (NIH) and the National Science Foundation (NSF), a postdoc is an individual who has received a doctoral degree (or equivalent) and is engaged in a temporary and defined period of mentored advanced research training to enhance the professional skills and research independence needed to pursue his or her chosen career path. In addition, according to the National Postdoc Association (NPA), Postdoctoral appointees can pursue basic, clinical or translational projects so long as their primary effort is devoted toward their own scholarship. Postdocs are essential to the scholarly mission of the mentor and host institution, and thus are expected to have the freedom to publish the results of their scholarship.

Characteristics of a postdoctoral appointment: 

It is expected that postdocs at MCW, with the assistance of their supervisor, will:

  • Transition to career independence through the development of professional skills that enable the postdoc to actively pursue a career of his/her own choosing.
  • Be supervised by at least one senior scholar who actively promotes the postdoc's professional development.
  • Establish an individual development plan (IDP) that incorporates equally the postdoc's career and training goals and the mentor's research goals.
  • Pursue basic, clinical, or translational projects so long as effort is focused primarily on research.

Primary Functions 

  • Understand genetic and biologic principles to guide the analysis and interpretation of NGS data. Independently provides troubleshooting for data generation and processing. Implements triaging and generates reports.

  • Participate in discovery projects.
  • Coordinate research study activities; lead and manage projects.
  • Develops, implements and refines informatics workflows and tools for analyzing and visualizing NGS data. Emphasis on visual and quantitative integration of multiple NGS modalities (i.e. RNA-Sen and ChIP-Seq).

Requisition ID #: 25824

For details click here

Posted on September  11, 2019

Postdoc­toral Re­searcher, Mo­lecu­lar and In­teg­rat­ive Bios­ciences Research Pro­gramme

The University of Helsinki is the largest university in Finland, hosting an international academic community of 40,000 students, researchers and staff members. University of Helsinki is also the most important provider of research infrastructures in Finland. Molecular and Integrative Biosciences Research Programme in the University of Helsinki is an interdisciplinary research unit for the studies of the molecular and mechanistic basis of life. We are unifying areas of experimental biosciences, including Biochemistry, Genetics, Structural Biology, Cell and Developmental Biology, Neuroscience and Physiology.

We are looking for ambitious and enthusiastic researchers interested in developmental neuroscience, neurological disease, computational modelling or bioinformatics, to work on an interdisciplinary project that aims to characterize the developmental mechanisms leading to the differentiation of cell types underlying mood and motivated behaviors. We will use high-throughput transcriptome and genome profiling methods and mouse transgenesis in order to look at transcriptional regulators and regulatory interactions at the neuronal fate decisions and during cell differentiation. The position is available immediately. The postdoc position is funded by the Academy of Finland grant and is available for 3 years, with a possibility of extension.

Postdoctoral candidates should possess a PhD degree in a relevant field. Prior experience with transcriptomics or genomics, genome-wide data analysis, or in computational modelling based on biological data is an advantage. Desired skills or interests: high-throughput genomics or transcriptomics data collection and analysis, including single-cell transcriptomics and genomics; molecular genetics methods, cell sorting, cell culture (primary cells). The candidate should also have good communication and presentation skills. The working language will be English.

Due date 21.10.2019 23:59 EEST

For details click here

Bioinformatician or Scientific Programmer at the Biomedical Sequencing Facility

The Biomedical Sequencing Facility is Austria’s leading technology platform and service provider for genomics in biomedicine – and one of the country’s largest producers of scientific ‘big data’. It is located at the CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, in close collaboration with the Medical University of Vienna, the Ludwig Boltzmann Institute for Rare and Undiagnosed Diseases, and the St. Anna Children’s Cancer Research Center.

To keep up with rapid growth, we are searching a highly motivated Bioinformatician or Scientific Programmer (m/f/x) who wants to contribute to the booming field of personalized and digital medicine. The successful candidate will process and analyze complex biomedical data using the dedicated high-performance computing cluster available at CeMM, the Vienna Scientific Cluster (a TOP500 supercomputer), and cloud-computing infrastructure. In this position you will contribute to collaborative research, software development, and biomedical applications of genome sequencing technology. At CeMM, we take career development of our staff seriously.

Relevant Qualifications

  • Bachelor, Master, and/or PhD degree in bioinformatics, computer science, physics, genome biology, or another quantitative field
  • Proactive mindset, getting-things-done attitude (start-up company experience/mindset is a plus)
  • Strong programming skills (any language) and experience working with large volumes of data
  • A high degree of accuracy, reliability, organization skills, and a commitment to high-quality service provision
  • A formal education in software engineering and/or work experience as a software developer is a plus (but not mandatory)
  • Prior experience working with biological or medical data is also a plus (but not mandatory)
  • Friendly, collaborative mindset, ability to multi-task and to work effectively in an international environment
  • Written and oral communication skills in English
  • Motivation to work in one of the fastest-moving and future-oriented areas of biomedicine

Any application received by 18 October 2019 will be considered.

For details click here

Posted on September  09, 2019

Postdoctoral Scientists – Quantitative Biology/Bioinformatics

Two Postdoctoral scientists positions in Quantitative Biology are available in the laboratory of Dr. Ebrahimi. The qualified candidates will be working on projects related to viral/cancer immunity and evolution. The overall aims of the projects are to develop and apply multi-omic approaches to mine and deconvolute complex datasets including genomic, transcriptomic, and proteomic data from viruses, hosts, and tumors to: a) discover population-specific virus-host interaction mechanisms and identify underlying genetic and evolutionary sources; b) delineate gene expression profiles in cancer and investigate their association with germline/somatic mutations, viral status, and other clinical data.

EDUCATION/EXPERIENCE/SKILLS: Required: Ph.D. in a quantitative science discipline such as bioinformatics, computer science, mathematics, statistics, physics, or engineering. Skills in working with large datasets and developing tools and algorithms for analysis of large datasets. Coding in one or more platforms, e.g. Python, R, Matlab. Passion for learning quantitative biology. Preferred: Ph.D. in quantitative biology or bioinformatics. Experience in analyzing RNAseq, GWAS, Hi-C and other large biological datasets. Familiarity with databases such as UCSC Genome Browser, 1000Genomes, TCGA, and ICGC. Experience in using standard bioinformatics packages such as Samtools, Cufflinks, Tophat. Knowledge of statistics. Knowledge of evolutionary biology, and viral/cancer immunity.

For details click here

ERC-funded postdoctoral researcher in bioinformatics – single-cell immune transcriptomics and epigenomics

The Center for Infectious Medicine, the Department of Medicine, Huddinge The Department of Medicine at Huddinge comprises of seven units, three research centers, and a total of around 70 independent research groups. Our ambition is to be a leading department within medical research and education. At the Center for Infectious Medicine (CIM) ( research focuses on studies of the human immune system. The vision is to be a world leading translational research center within immunology. Description of research group and project We are looking for an ambitious postdoc with solid genome-wide bioinformatics/computational biology skills to join our highly accomplished team of immunologists in a project (GUT-SEQ) funded by the European Research Council (ERC). We offer a stimulating environment in a rapidly moving research frontier. The postdoc will be part of a cluster of other bioinformaticians working on similar topics.

Entry requirements The candidate must hold a PhD equivalent to a Swedish doctoral degree in the field of genome-wide bioinformatics/computational biology. The candidate should have been trained in computer science/bioinformatics/computational biology during her/his bachelor-, master- or PhD degree. The candidate should fully master R, Phyton, Matlab/Octave, bash and C and have solid Unix/Linux experience and statistical knowledge. The candidate should have experience in working with scRNAseq from FASTQ to analyzed data, both with 10X, SS2 and other formats. The candidate should have a strong publication track-record. The candidate should be self-motivated, have good communications skills and a proven ability to interact effectively and work productively in an interdiciplinary team. Fluency in English is a requirement. Candidates should preferentially have some experience with single cell-based assessment of immunological responses such as flow cytometry. However, this is not a requirement.

Reference number 2-4373/2019

Last application date 01.Oct.2019 11:59 PM CET

For details click here

Posted on September  06, 2019

Postdoctoral scientis genome analytics/genome bioinformatics

The University Medical Center Schleswig-Holstein is one of the largest university hospitals in Europe with more than 80 clinics and institutes. It offers outstanding medical treatment and excellence in research and education with nearly 13,000 employees, 2,600 patient beds and more than 100,000 hospitalized patients, 240,000 outpatient cases and in excess of 3,000 births a year. We provide top research at the interface of medicine, science and technology.

The Lübeck Interdisciplinary Platform for Genome Analytics (LIGA) is part of the Medical Faculty (“Sektion Medizin“) at the University of Lübeck. The overarching aim of LIGA is to improve our understanding of the genetic and epigenetic foundations of genetically complex human traits and diseases, in particular those related to aging.

Your role:

  • Develop and maintain bioinformatics workflows for the standardized processing of genomewide genotyping and sequencing data in a multi-core computer cluster environment
  • Perform statistical analysis of the resulting data with the phenotypes of interest (e.g. in the context of genome-wide/epigenome-wide association studies [GWAS/EWAS])
  • Interpret the results with respect to functional genetic/biological pathway data
  • Prepare the resulting research findings for publication in peer-reviewed journals

Your profile:

  • Degree in bioinformatics, biostatistics, or equivalent
  • Experience in the processing and analysis of large-scale genomics data using compute
  • clusters/high-performance computing
  • Familiarity with working in Unix/Linux environments (shell)
  • Strong programming skills (in particular: Python, R, Perl)
  • Experience with using git and snakemake
  • Strong communication skills in English both spoken and written and motivation to work in
    an interdisciplinary team

We are looking forward to your application. Please submit your application until 03.10.2019, indicating your earliest possible starting date as well as the reference number 20190570,

For details click here

Computational Scientist

Liberty BioSecurity, LLC is seeking a highly motivated and experienced computational scientist to be a part of our Expeditionary Science and Special Programs team in Worcester, Massachusetts. Primary responsibilities include the development of computational and statistical tools for the analysis of gene function and proteomics from next generation sequencing data of novel organisms. Activities support the microbial and pathogen identification, microbiome analysis, precision medicine applications, and regulatory testing for commercial, government and genetic intelligence applications. The successful candidate can work effectively in a highly dynamic and collaborative environment of researchers and data science sections.


•Develop analysis pipeline through the design and deployment of robust workflows usingcustom scripts to support the analysis of high-throughput data (cleaning, normalization, analysis, interpretation and visualization);
•Construct a survey methodology, program a statistical model for population growth, develop databases to compile vast amounts of information from activities (such as gene and protein expression profiling);
•Analyze internal and external -omic data sets to develop and discover novel biomarkers;
•Mine proprietary and publicly available genomic datasets to generate novel hypotheses or insights with commercial relevance;
•Maintain scientific advancement, emerging approaches and innovations in the NGS analysis fields.


•PhD in Bioinformatics or similar discipline with expertise in Computational Biology, Immunology, Statistics, and Network Pharmacology/Systems Biology OR a MS in the aforementioned AND at least 3 years of experience in academic or industry setting is required
•Experience with high content data analysis, such RNAseq, and proteomic data.

•Experience with microbiome data and microbiome-related software (e.g. QIIME, Biobakery).
•Solid statistical training and experience in statistical modeling using Python and R.
•Experience with sequence analysis, alignment, and assembly (ex. MUSCLE, T-COFFEE, BLAST, ClustalW(2), HMMer, etc.).
•Have Python, PHP, PERL, C++, C#, Ruby, Javascript and Java programming experience.
•Experience with datastores/databases: MySQL, PostgreSQL, Hive, Hadoop.
•Experience with high performing computing or cloud computing, specifically AWS.
•US work authorization is required; no visa sponsorship available.

For details click here

Posted on September  04, 2019

Postdoctoral fellow in Human Microbiome research

Do you want to be an ERC-funded Postdoctoral fellow in human microbiome research? One position is available as Postdoctoral fellow (SKO1352) - a three year engagement – affiliated with The Norwegian PSC Research Center (NoPSC) at Institute of Clinical Medicine – funded by an ERC grant. NoPSC - a cooperation between University of Oslo (UiO) and Oslo University Hospital (OUH) - is dedicated to research on the chronic liver disease primary sclerosing cholangitis (PSC). Several features make PSC an intriguing model disease; more than 80% of the patients have inflammatory bowel disease, for which the link with the biliary inflammation is poorly known, and the disease may recur after liver transplantation. The center comprises three research groups covering all aspects of research related to primary sclerosing cholangitis, from basic genomic and experimental studies to clinical research and clinical trials. The research environment is world-leading for PSC and counts 20-25 engaged researchers from several countries and specialties.

We are now seeking a skilled and ambitious co-worker to take on a challenging project funded by a prestigious European Research Council (ERC) Starting Grant “StopAutoimmunity”, which focuses on gut microbial functions in recurrent PSC after liver transplantation. The research group, led by Dr. Johannes Hov, has over the last six years, established a strong clinical microbiome research environment. In the present project, the use of large-scale metagenomics and metabolomics will provide insights into a unique disease model to identify driving factors amenable to treatment. The candidate should have an ambition to form an independent research track, and will be offered opportunities to do so.

Qualification requirements:

  • Applicants must hold a relevant PhD
  • Experience with microbiome research is a prerequisite, and experience with metagenomic (shotgun) sequencing will be considered an additional advantage.
  • Documented experience with relevant bioinformatic and statistical methods (including R) or multi-omics is an advantage

Deadline 1st October 2019

For details click here

Senior Bioinformatics Scientist

Berkeley Lights, Inc. (BLI) is enabling precise cell by cell selection and manipulation to empower cell line development, antibody discovery and engineering, synthetic biology, and development of personalized cellular therapies. Founded in 2011, BLI is delivering breakthrough platforms and devices that fundamentally change the way biological processes are done. Our technology is revolutionizing how scientists and researchers study the interaction of cells and transform and accelerate biologics and cellular therapies.

Berkeley Lights is looking for an experienced Bioinformatics Scientist to join our venture-backed, commercial life science company. You’ll work with a diverse team of engineers and scientists to develop novel applications for our Beacon Platform, designed to automate complex biological workflows in BioPharma, including cell line development, antibody discovery, antibody engineering and gene editing and make immuno-oncology discoveries using our Beacon Platform.

Required Experience:

    • Ph.D. or Master's in Computer Science, Bioinformatics or related field with at least 2 years of relevant postdoc or industry experience.
    • Broad knowledge of NGS analysis tools and methods; enough experience to quickly and judiciously evaluate new methods and tools.
    • Extensive experience with developing commercial level pipelines, their underlying statistics and algorithms, and troubleshooting problems.
    • Software experience: should be comfortable in a Linux shell and with command line tools, and have good software development habits (source control, testing, code reviews).

For details click here

Posted on September  02, 2019

Post-Doctoral Associate in Computational Biology

The Department of Neurosurgery at the University of Minnesota invites applications for a Computational Biology / Bioinformatics post-doctoral associate position in the Center for Cranial Base Surgery and Brain Tumor Program. The laboratory of Dr. Andrew Venteicher, MD PhD, is seeking highly self-motivated candidates with a Ph.D. or equivalent degree, excellent scientific record, and a strong interest in developing new therapies for primary brain tumors.

The ideal candidate will have research experience using clinical specimens and genomic technologies, which may (but does not necessarily need) to include single cell genomics. The postdoctoral fellow will lead the computational analysis of rich genomics datasets to identify unique molecular signatures towards obtaining a deeper understanding of tumor heterogeneity, tumoral evolution, treatment resistance, and immune evasion. Comfort of basic molecular biology techniques such as immunohistochemistry and flow cytometry will be necessary for result validation. The candidate must be able to generate well-defined hypotheses and address them with appropriately designed computational and statistical methods using R and Matlab, and should be comfortable integrating data from the TCGA and other publically available repositories. The candidate must have demonstrated these skills in prior research endeavors and have experience presenting results in publications and presentations.


Required Qualifications:
• PhD in computational biology, bioinformatics, statistics, mathematics, applied mathematics or related computational/scientific field.
• Significant experience in computational biology as applied to genomics, proteomics, and other topics in molecular biology.
• Strong record of presenting research results through publications and conference abstracts.
• Highly self-motivated researcher.
• Excellent oral and written communication skills.
• Excellent interpersonal and organizational skills.
• Desire and ability to work collaboratively with others.

Preferred Qualifications:
• Experience working with clinical specimens.
• Experience in single cell approaches and next generation sequencing.

Job ID 332752
Job Code 9546

For details click here

Senior Bioinformatician

The Skok lab ( at the NYU School of Medicine is seeking a highly motivated, enthusiastic and creative individual to investigate the role of genetics, epigenetics and chromatin organization in cancer and/or apply machine learning to develop novel cancer diagnostics. The successful candidate will have the opportunity to work on various types of large genomics datasets and will interact closely with wet and dry Skok lab members. The successful candidate will also interact with a vibrant group of bioinformaticians in the Applied Bioinformatics Laboratories ( This is a great opportunity to quickly acquire new skills, develop and publish new tools and methods, analyze challenging datasets and be a co-author in multiple studies.

Required skills

  • M.Sc. in Bioinformatics, System Biology, Computer Science or related field
  • Knowledge of biology and understanding of key and complex biological concepts (genes, pathways, cancer and/or stem cells)
  • Ability to work independently while collaborating and assisting the team in its common research goals
  • Attention to detail and ability to work on multiple projects is necessary
  • Experience in Unix/Linux systems including HPC environments


  • Work closely with bench scientists to understand and help accomplish their research goals
  • Analyze various types of sequencing data analysis (e.g. RNA-seq, ChIP-seq, ATAC-seq, Hi-C-seq, bisulfite sequencing, whole-genome sequencing)
  • Perform robust data quality control and validation
  • Adapt genomic data analysis pipelines in a rapidly evolving research environment
  • Develop novel methods for multi-omics data analysis and integration

For details click here

Posted on August  30, 2019

Postdoctoral studies in bioinformatics to understand T cell biology (scholarship)

The Department of Medicine, Solna, is one of the largest departments at Karolinska Institutet. The department consists of several divisions that are separated into different research groups. The core activities of the department are research, doctoral education and undergraduate education for medical and biomedical students. The research has three main profiles: allergy, cardiovascular medicine and inflammatory diseases.

Research at the division of Rheumatology is truly translational with excellent access to patient material and active clinicians, biologists and epidemiologists. The research spans a wide range of subjects, covering areas as diverse as clinical rheumatology, antibody biology, basic T cell biology, inflammatory mechanisms and more. The postdoctoral studies will be performed jointly in the labs of Associate professor and clinical dermatologist Liv Eidsmo, and Assistant Professor Carmen Gerlach ( Research in the Eidsmo lab focus on the role for resident T cells during homeostasis and immunopathology in the human skin. We have recently defined functional subsets of resident T cells and how these cells interact within the natural microenvironment during the inflammatory skin diseases psoriasis and vitiligo. Currently, the lab heads a mechanistic study of a global clinical trial, investigating if resident T cells can act as biomarkers of remission of psoriasis.

We are looking for a highly motivated, ambitious and talented person with excellent theoretical background and practical experience in bioinformatics, and genuine interest in T cell immunology. Prior experience in working with 10x-based sequencing datasets, ideally including feature barcoding will be highly valued. Excellent communication skills that allow for productive interactions with biologists lacking bioinformatics background will be key. This includes the willingness and ability to explain, justify and discuss analyses/model choices with other lab members and supervisors.

Reference number 2-4323/2019

Last application date 17.Sep.2019 11:59 PM CET

For details click here

Postdoc or Application Specialist in Mass spectometry-based Proteomics

The Institute of Molecular Biology gGmbH (IMB)is a Centre of Excellence for Life Sciences funded by the Boehringer Ingelheim Foundation and located within the campus of the University of Mainz in Germany. IMB focuses on epigenetics, DNA repair and developmental biology and offers premium scientific core facilities (see The Proteomics Core Facility, which is currently staffed with a technician and a bioinformatics specialist, is looking for an applicationspecialist on the postdoc level to join the team.

*You will*
• Independently maintain and operate LC-MS-systems
• Establish and optimize new MS-based methods
• Consult with and support scientific staff in proteomics experiments

*Required qualifications*
• PhD thesis in mass-spectrometry based proteomics
• Hands-on experience in maintenance of HPLC and MS (orbitrap platforms)
• Experience in quantitative proteomics workflows (e.g. dimethyl or TMT) preferred

*Desired qualifications*
• Commitment and interest in solving problems independently
• Communication and team spirit
• Interest in working in interdisciplinary teams
• Good knowledge of English (spoken and written)

Applications should be in English and sent as a single PDF fileincluding a cover letter, CV, certificates and at least two referencesquoting Ref. No. CFPD01 to Informal enquires should be addressed to Dr. Falk Butter ( IMB is an equal opportunity employer.

Application Deadline:20th September 2019

For details  click here

Posted on August  28, 2019


Michigan Medicine conducts background screening and pre-employment drug testing on job candidates upon acceptance of a contingent job offer and may use a third party administrator to conduct background screenings. Background screenings are performed in compliance with the Fair Credit Report Act. Pre-employment drug testing applies to all selected candidates, including new or additional faculty and staff appointments, as well as transfers from other U-M campuses.

A postdoctoral position is immediately available in the laboratory of Professor Simon Hogan, Ph.D. within the University of Michigan Mary H. Weiser Food Allergy Center (MHWFAC) and Department of Pathology for candidates with a Ph.D. in computational biology and/or bioinformatics and biostatistics. Broadly, our research aims to understand the role of hematopoietic and non-hematopoietic cell transcriptional and epigenetic mechanisms in regulation of food allergy and anaphylaxis.

The successful candidate will have a strong background in computational biology, bioinformatics or biostatistics and expertise in programming and high-throughput analysis of genomic and biological data. The position will involve utilizing computational and bioinformatics approaches to integrate large-scale ChIP-seq, RNA-seq, ATAC-seq, DNA methyl-seq and other large-scale epigenomic and chromatin analyses, including scRNA-seq and scATAC-seq data sets derived from human and mouse model systems to identify hematopoietic and non-hematopoietic cell transcriptional and epigenetic events in food allergy and anaphylaxis outcomes.


  • Computational analysis and integration of large genomic, transcriptomic and epigenetic datasets.
  • Access public genetic, epigenetic and transcriptomic large datasets and integrate and analyze these datasets with pre-existing laboratory generated datasets.
  • Build data analysis pipelines for scRNA-seq and ATAC-seq.
  • Manage large dataset storage in databases, lab wiki and lab UCSC browser.

Required Qualifications*


  • Must possess a Ph.D.
  • Excellent bioinformatic and programming skills (e.g. Perl, Python, C/C++, Java, R or Web applications).
  • Strong command of Linux/UNIX operating system.
  • Strong knowledge and skills in bioinformatics, statistics and next-generation sequencing data analysis.
  • Ability to use current bioinformatics tools and have an in-depth knowledge of advanced sequencing and array-based technologies.
  • Experience with Illumina NGS data analysis.

Job Opening ID 172203

Posting End Date:  9/13/2019

For details click here

Position: Postdoc in Bioinformatics / Computational Biology

The German Cancer Research Center is the largest biomedical research institution in Germany. With approximately 3,000 employees, we operate an extensive scientific program in the field of cancer research. The new Collaborative Research Centre “Understanding and Targeting Resistance in Glioblastoma” (UNITEGLIOBLASTOMA, SFB1389) is focused on decoding and combating resistance in glioblastoma, a serious and usually fatal brain tumor in children and adults. The goal of the research consortium is to understand the molecular mechanisms of resistance against current therapies and to develop new types of treatment. At the heart of the CRC is the “Core Collection”, for which uniform, integrated data sets from multiple omics analyses, preclinical models, imaging, and clinical data are being generated.

In UNITE, you will work with leading researchers in the field of neurooncology towards the goal of making glioblastoma treatable. Together with our collaboration partners you will exploit the unique data resources generated in UNITE to make discoveries that make a difference in glioblastoma research.

Your main responsibilities will be:

  • Analyze various large-scale datasets in close collaboration with clinicians and experimentalists
  • Design high-throughput experiments and develop data analysis strategies in close collaboration with the PIs of the various research projects
  • Develop, adapt and maintain analysis workflows for different data types
  • Develop and apply statistical and machine-learning techniques to integrate and mine high-throughput datasets


  • PhD in bioinformatics, computational biology, computer science or equivalent; alternatively, PhD in a life science discipline with demonstrated and significant experience in bioinformatics (including programming experience).
  • Demonstrated experience in analyzing large-scale high-throughput biomedical data (preferentially experience with NGS data)
  • Solid programming skills (preferentially Python and R)
  • Solid statistical background

Code number: 2019-0259

Application deadline: 10.09.2019

For details click here

Posted on August  26, 2019

Postdoc: Computational Predictive Microbiome Analysis

Iowa State University is classified as a Carnegie Foundation Doctoral/Research University-Extensive, a member of the Association of American Universities (AAU), and ranked by U.S. News and World Report as one of the top public universities in the nation. More than 36,000 students are enrolled and are served by over 6,200 faculty and staff.

The successful candidate will join an interdisciplinary team for a two year NSF-funded project developing a universal microbiome predictor. Our goal is to predict the microbial species composition, abundance, and genetic potential for a large number of different environments. Given an environment with given biophysical parameters, we aim to predict the species composition and any possible temporal changes to that composition. Furthermore, we will be able to use these predictions to indicate which changes to make to the environment to change the residing microbial communities using model systems. The postdoc will be working with a team of experimental and computational biologists to create a system that will make such predictions possible. Compensation is highly competitive, based on the candidate’s experience and skill set.

Required Minimum Qualifications:

  • A PhD in bioinformatics, software engineering, molecular biology or a related science field
  • Programming experience

Preferred Qualifications:

  • Python programming
  • Bioinformatics programming
  • Experience in programming in high performance computing environment
  • Experience in using bioinformatics software and libraries
  • Experience in computational microbiome and metagenome research
  • Machine learning experience
  • Experience in creating biological knowledgebases

For consideration, submit application before: September 15, 2019

Job Requisition Number: R457

For details click here

Postdoctoral research in HIV bioinformatics

Department of Medicine, Huddinge The Department of Medicine, Huddinge, conducts preclinical and clinical research in a variety of areas and undergraduate and graduate education. The department is internationally oriented and consists of seven units with a total of nearly 60 research groups, including three research centres.

Division The Division of Infectious Diseases conducts preclinical, translational, clinical and epidemiological research projects. The laboratory is located within the newly build facilities at Alfred Nobels Allé 8 (ANA Futura Laboratory), Campus Flemingsberg. The announced position will be placed in Professor Anders Sönnerborgs research group, which has a strong focus on pathogenesis, antiretroviral treatment, including HIV drug resistance, and cure of HIV infection. The experimental research is focused on the interaction between HIV and antiretroviral drugs as well as mechanisms of viral latency.

Duties The present Postdoc position aim towards benchmarking proteo-transcriptomics studies to develop and execute novel bioinformatics and statistical methods for transcriptomics, proteomics, and multiparametric proteotranscriptomics analysis to identify biomarkers and map the intercellular pathway of natural control of HIV infection, immune-aging in PLHIV as well as the importance of the gut microbiota for viral persistence and pathogenesis. The candidate should have a strong background in bioinformatics. Experience of analysis of immune-metabolism more specific to nucleotide synthesis, mitochondrial DNA depletion, and cellular metabolic pathways are of great value.

The candidate should also have:

  • The applicant should have second-cycle background in genetics and/or bioinformatics.
  • Interest and prior experience in transcriptomics and mass-spectrometry based proteomics analysis are essential. Provide github account details.
  • The applicant should have strong competence in Python, R-programming language and network analysis (e.g. Cytoscape). Preferences will be given who have experience in protein structure analysis.
  • Internship in animal models (omics as well as lab experiments) will be added advantage.

Reference number 2-4216/2019

Last application date 16.Sep.2019 11:59 PM CET

For details click here

Posted on August  23, 2019

Postdoc in DNA/RNA sequencing/bioinformatics

We are looking for a highly motivated and dynamic researcher for a 4 year position to commence on 1 November 2019 or shortly hereafter. This postdoc position will be part of the Novo Nordisk Foundation funded Tandem project on the role of microbial and immunological changes causing atopic dermatitis.

The project will determine the exact temporal relationship between pathogenic changes in the skin microbiome and immune response during atopic dermatitis (AD), taking the epidermal barrier into account. The project is an interdisciplinary, synergistic collaboration between two well-established and leading research groups in Copenhagen. The aim is to understand AD pathogenesis and guide health care providers towards improved treatment and prevention strategies.

Essential experience and skills:

  • You have a PhD in microbiology/genomics
  • You are highly experienced in 16s microbiome analysis of human samples and RNA sequencing as well as microbiology and, to some extent, immunology
  • You have an active interest in bacteria host interplay
  • Proficient communication skills and ability to work in teams
  • Excellent English skills written and spoken

Desirable experience and skills:

  • Experience/knowledge in clinical microbiology
  • Experience/knowledge in statistics and machine learning
  • Experience/knowledge in Unix/R/Python programming languages
  • Experience in confocal laser scanning microscopy
  • Experience in Atomic force microscopy
  • Experience working with human samples
  • Culturing and identification of bacteria

Application deadline: 8 September 2019, 23.59pm CET

For details click here

NGS - Application Scientist - ECLIPSE

ECLIPSE (Evolution of Cancer, Leukemia and Immunity Project) is a novel organization within the MD Anderson Cancer Center, Houston, Texas, with the mission of making MDACC and its partners recognized leaders in the identification and development of innovative immunooncology therapies that will cure all hematologic malignancies.

We are seeking an experienced and highly motivated individual with hands-on experience in various NGS technologies for identification and validation of potential therapeutic targets for patients with advanced hematologic malignancies. Such data generated from the team is expected to influence a broad array of decisions around target prioritization and generation of therapeutic modalities against those particular targets. The selected candidate will be expected to work at the bench and contribute to development and implementation of NGS based platforms to support target discovery efforts. Previous experience in biotech/pharma is highly preferred.

Key responsibilities
· Develop end to end work flows for NGS technologies from sample prep to running sequence ready DNA/RNA libraries on Illumina sequencers.
· Assess and develop custom designed NGS technologies to enhance target discovery efforts.
· Support day-to-day operations, service and troubleshooting for NGS equipment.
· Collaborate with team members on a discovery platform using high throughput multi-omic technologies; apply scientific expertise in immunology and cancer biology to drive these programs in a multidisciplinary and exciting research team environment.
· Interface with scientific staff both within the institution and outside, including industry collaborators, external consultants and stakeholders.
· Commitment to keep abreast of current and emerging technological and scientific advancements in the field.

Required: Master's degree in Biology, Biochemistry, molecular biology, cell biology, enzymology, pharmacology, chemistry or related field.
Preferred: PhD in Biochemistry, Molecular Biology or a related discipline.
Required: Six years experience of relevant research experience in lab. With preferred degree, two years of required experience.
• Direct lab experience with various NGS platforms (Illumina, 10X Genomics etc.).
• Expertise in work flows associated with NGS technologies including sample preparation, sample QC, generation of high quality sequencing DNA and RNA libraries and hands-on experience in using various Illumina sequencers.

Requisition #: 128955

For details click here

Posted on August  21, 2019

Computational Post-Doctoral Fellow applied to single-cell epigenomics and 3D genomes in cancer

Fully affiliated with the University of Toronto and home to members of the Faculties of Medicine, The Princess Margaret Cancer Centre is part of one of Canada’s largest hospital-based research centers. As one of the top five cancer research institutes in North America The Princess Margaret Cancer Centre fosters a rich academic and collegial environment. Combining research excellence with state-of-the-art infrastructure, The Princess Margaret Cancer Centre is investing heavily in strategic research platforms and has developed research capacity in areas such as Epigenomics, Genomics, Proteomics, Clinical Technologies, and Clinical Studies to drive investigations into human biology and health care now and into the future.

As part of The Princess Margaret Cancer Centre Epigenomics program and affiliated with the Ontario Institute for Cancer Research (OICR), Dr. Mathieu Lupien is currently seeking applications for a computational post-doctoral fellow applied to functional epigenomics. The work will focus on defining the interplay between epigenomics and drug responses in solid cancer (Breast, Prostate and Brain) to enable precision medicine. The successful candidate will be involved in the development of novel algorithms and software for the integrative analyzes of various genome-wide datasets from epigenetic/chromatin assays (ChIP-seq, ATAC-seq, RNA-seq, etc), three dimensional organization of genomes (HiC) and single cell assays (scRNA-seq and scATAC-seq).

Candidates should have a strong background in computational biology, bioinformatics or biostatistics, hold a doctoral degree in a relevant field, be looking for a collaborative and dynamic environment, and have a track record of productivity and innovation in epigenetics, cancer informatics, data science. Prior experience manipulating massively parallel sequencing data is an asset but not a requirement. The salary of this yearly renewable position will be established according to institutional guidelines.

Please forward current curriculum vitae including a publication list and names of three references to:

For more information click here

Postdoctoral Fellow in Bioinformatics

The University Health Network, where “above all else the needs of patients come first”, encompasses Toronto Rehabilitation Institute, Toronto General Hospital, Toronto Western Hospital, Princess Margaret Cancer Centre and the Michener Institute of Education at UHN. The breadth of research, the complexity of the cases treated, and the magnitude of its educational enterprise has made UHN a national and international resource for patient care, research and education. With a long tradition of groundbreaking firsts and a purpose of “Transforming lives and communities through excellence in care, discovery and learning”, the University Health Network (UHN), Canada’s largest research teaching hospital, brings together over 16,000 employees, more than 1,200 physicians, 8,000+ students, and many volunteers. UHN is a caring, creative place where amazing people are amazing the world.

The successful candidate should have a strong bioinformatics and coding background, particularly in the analysis of Illumina DNA methylation array data and mRNA/miRNA sequencing data, as well as an understanding of the biomarker discovery pipeline.

• PhD in Bioinformatics, Genomics, and/or Epigenomics within last 5 years
• Working knowledge and experience with analyzing high throughput omics data
• Experience coding in R
• Excellent writing skills
• Strong publication record with experience in writing and submitting research grants (e.g. CIHR)
• Organizational and multitasking skills
• Computer literacy (Outlook, Microsoft Office, etc.)
• Ability to work both independently and as part of a team
• Knowledge or familiarity of wet-lab techniques is an asset
• Knowledge of immunology is an asset

Job Posting #847457

For details click here

Posted on August  19, 2019

Research Associate in Bioinformatics

The University of Colorado Denver l Anschutz Medical Campus seeks individuals with demonstrated commitment to creating an inclusive learning and working environment. We value the ability to engage effectively with students, faculty and staff of diverse backgrounds. The University of Colorado Comprehensive Cancer Center (UCCC) is seeking a PhD-level Bioinformatics researcher that specializes in analysis of –omics data in the cancer research space and has a desire to help train postdoctoral research scientists. The ideal candidate will have a strong track record, as demonstrated through publications, in the analysis and interpretation of -omics data generated from cancer samples. Additionally, a track record of algorithm development with strong programming skills, primarily using R. Finally, the ideal candidate will have a desire to train exceptional postdoctoral researchers to both develop Bioinformatics analysis plans around their research topics and then to execute on those plans.

Minimum Qualifications:

·         A PhD in Bioinformatics/Biostatistics/Computational Biology or related fields.

·         Demonstrated track record in the Bioinformatics/Computational Biology/Mathematical Modeling space through peer-reviewed publications.

·         A deep understanding of NGS technologies and development of the pipelines to analyze the associated data.

·         A demonstrable ability to assemble an analysis pipeline for whole genome and whole exome sequencing data

·         Code-base that is managed through a software versioning system

·         A track record in cancer research

Position Number: 00611272

For details click here

Postdoctoral Fellow - Center for Artificial Intelligence and Data Science of Aging

The Center for Artificial Intelligence and Data Science of Aging (CADSA) at the Buck Institute has an opening for a Machine Learning Postdoctoral Fellow. The proposed work will support research programs in aging and age-related disease. The goal of the CADSA is to catalyze data-enabled science and advance current knowledge on interventions and therapeutics to extend healthspan.


  • Process, integrate and analyze in-house and public domain data from various independent platforms (proteomics, genomics, pheomics, metabolomics, transcriptomics, microbiome, wearables/behavioromics).
  • Develop statistical methods for data integration.
  • Develop research objectives and proposals for own or joint projects.
  • Contribute to writing research grants.
  • Disseminate research findings via publications, research seminars, etc.
  • Contribute to developing new models, techniques and methods for the use of public sets of biological data and health records.
  • Guide and support other Buck staff and students who may require assistance with their research.


  • Deep interest for the science of aging with particular focus on the identification of interventions and therapeutics to extend human healthspan
  • PhD or equivalent experience in Bioinformatics, Physics, Engineering, Mathematics, Statistics or Computer Science
  • Significant experience with data science; specifically integration of multi-omics data (desired, not required)
  • Proven experience with application of machine learning
  • Proven experience in SQL databases (e.g. MySQL)
  • Demonstrated experience in python and R; database development, maintaining & sharing code repositories (github, Jupyter, etc.)

For details click here

Posted on August  16, 2019

Postdoc in computational RNA molecular biology

Postdoc position for computational RNA biology at University of Aarhus, Denmark in the laboratory of Ulf Andersson Vang Ørom. The position is available from October 2019 or as soon as possible hereafter. The position is for 2 years with possibility for extension.

The position will involve developing projects at the interface between experimental and computational RNA biology, with a focus on RNA processing and RNA modifications. You will work closely with experimental PhD students and postdocs in the lab to develop the right analysis tools and experimental set-up to answer exciting questions about RNA fate and function.

Applicants should hold a PhD in molecular biology, bioinformatics, computational biology, biophysics or similar, and have experience with next-generation RNA sequencing data analysis. Experience with experimental molecular biology will be an advantage. The everyday language in the lab is English.

The dealine for applications is September 8, 2019.

For further information on the position please contact: Associate Professor Ulf Andersson Vang Ørom

Postdoctoral Research Fellow in Computational biology

The University of Queensland’s Faculty of Medicine is an internationally recognised provider of world-class education and research. The Faculty possesses enormous strengths spanning research, teaching, industry engagement and clinical practice in disciplines ranging from the basic sciences, biomedical research and development, to clinical trials and public health. Its cutting-edge facilities enable outstanding research outcomes and sharpen our understanding of cancer, autoimmunity, mental disorders, infectious diseases and neurological disease.

The successful appointee must have a PhD in molecular genomics, computational biology, or in an area related generation and/or analysis of genomic data. In addition to qualifications, the person must have demonstrated experience in analysis and visualisation of large RNAseq datasets and scripting languages, e.g. R or Python. They must also have strong working knowledge of molecular techniques, be familiar with Linux/Unix Operating System and have evidence of high-level contribution to research, including peer-reviewed publications, technical reports and/or workshops.

Job No:508144

Applications close: 06 Sep 2019 (12:00 PM) E. Australia Standard Time

For details click here

Posted on August  14, 2019

Postdoctoral Fellow - Bioinformatician

According to the National Institute of Health (NIH) and the National Science Foundation (NSF), a postdoc is an individual who has received a doctoral degree (or equivalent) and is engaged in a temporary and defined period of mentored advanced research training to enhance the professional skills and research independence needed to pursue his or her chosen career path. In addition, according to the National Postdoc Association (NPA), Postdoctoral appointees can pursue basic, clinical or translational projects so long as their primary effort is devoted toward their own scholarship. Postdocs are essential to the scholarly mission of the mentor and host institution, and thus are expected to have the freedom to publish the results of their scholarship.

Primary Functions 

  • Understand genetic and biologic principles to guide the analysis and interpretation of NGS data. Independently provides troubleshooting for data generation and processing. Implements triaging and generates reports.

  • Participate in discovery projects.
  • Coordinate research study activities; lead and manage projects.
  • Develops, implements and refines informatics workflows and tools for analyzing and visualizing NGS data. Emphasis on visual and quantitative integration of multiple NGS modalities (i.e. RNA-Sen and ChIP-Seq).
  • Contributes to collaborative research publications. Presents regular project updates at meetings with collaborators.

Required knowledge:

•    Knowledge of molecular biology, biochemistry, mathematics, statistics and data analysis is critical.

•    Data utilization, complex problem-solving skills, critical thinking, and writing skills are necessary.

•    Ability to communicate orally as well as in writing will be essential to collaborate with others in a team-oriented environment

•    Experience in epigenetics, especially cancer-related research, would be an asset.

  • Requires experience in NGS data analysis, bringing biological meaning to data.

Requisition ID #: 25824

For details click here

Postdoctoral Associate (Bioinformatics)

SBP is a preeminent, independent biomedical research institute dedicated to understanding human biology and disease, and advancing scientific discoveries to profoundly impact human health. For over 40 years, our research has produced breakthroughs in cancer, neuroscience, immunology and children’s diseases, and is anchored by our NCI-designated cancer center and advanced drug discovery capabilities. Dr. Adams’ lab investigates the impact of chromatin and epigenetics on cellular senescence, aging and cancer. In particular, the lab hypothesizes that age-associated changes in chromatin and epigenetic programming contribute to the dramatic age-associated increase in incidence of cancer. While age is the biggest single risk factor for most cancers, the reason for this is current poorly understood.

A Postdoctoral Associate position is available in the lab of Prof Peter D. Adams for ambitious, independent and motivated candidates to join the team investigating the epigenetics of aging and cancer. The successful candidate will use computational and bioinformatics approaches to investigate how age-associated epigenetic events, derived from human and mouse tissues and cell culture models, are related to epigenetic hallmarks of aging and disease, most notably cancer. Datasets will include ChIP-seq, RNA-seq, ATAC-seq, DNA methyl-seq and other large-scale epigenomic and chromatin analyses, including at the single-cell level, as well as results from high throughput chemical and RNAi/CRISPR phenotypic screens.

Primary Responsibilities

  • Computational analysis and integration of large transcriptomic and epigenetic datasets
  • Access of public genetic, epigenetic and transcriptomic large datasets, for integration with those datasets generated in the lab.
  • Utilizes existing lab data analysis pipelines
  • Builds new data analysis pipelines, e.g. for single cell RNA-seq and ATAC-seq.
  • Manages large dataset storage, in databases, lab wiki and lab UCSC browser
  • Presents results to lab members at weekly lab meetings
  • Presents results and data within SBP, local La Jolla mtgs and national and international meetings, as appropriate.
  • Maintains and initiates collaborations between Adams lab and other labs in SBP, San Diego, US and world wide

For details click here

Posted on August  12, 2019

Computational Scientist

The Pacific Northwest National Laboratory (PNNL) and the Environmental Molecular Sciences Laboratory (EMSL) seeks a computational scientist focused advanced simulation, data analysis and/or visual analytics for predictive understanding of complex biological and environmental systems. The EMSL is a U.S. Department of Energy (DOE) Office of Science user facility that provides innovative and breakthrough experimental and computational science that addresses DOE Office of Biological and Environmental Research (BER) programs by providing access to more than 75 state-of-the-art instrumental and high performance computing capabilities. EMSL users address some of the most important molecular-to-mesoscale challenges relevant to DOE missions.

The candidate should have experience in multiscale simulations of environmental systems, subsurface flow and transport simulations, computational modeling of complex biological systems, and/or advanced data analytics approaches relevant to DOE-BER. The position requires an ability and willingness to work with EMSL users to assist them in achieving their scientific objectives. The candidate must therefore be adept at assembling, motivating, and managing interdisciplinary technical teams through strong leadership, interpersonal, and project management skills and experience in addition to be willing to mentor, advice, and assist researchers with a variety of research interests. The candidate will also help lead peer-reviewed research in areas of research important to EMSL and PNNL, and contribute to ongoing research efforts. Senior candidates will quickly establish themselves as independent principal investigators (PIs) through competitive proposals, and serve as an active resource for others, mentoring early career staff in proposal and scientific career development.

Minimum Qualifications

  • BS/BA with 7 years of experience; MS/MA/MEng with 5 years of experience, PhD with 3 year experience

Preferred Qualifications

  • Ph.D. in earth science field and/or relevant research experience and a strong demonstrated record of accomplishment with high-impact publications and/or deliverables, and a national reputation.
  • Expertise in computational biology, computational chemistry, or computer information science, with demonstrated research applications in fields such as ecology, biology, biotechnology, physics, chemistry, geochemistry, soil science, geology, hydrology, or atmospheric science.

For details click here

Scientist - Bioinformatics, Neuroscience

The Genentech Bioinformatics and Computational Biology department seeks a highly motivated Scientist to study the molecular pathways that contribute to nervous system diseases such as Alzheimer’s Disease, Parkinson’s Disease, ALS and chronic pain. Applicant will work with existing interdisciplinary teams to develop an independent research program to pursue novel therapeutics and biomarkers for disease areas of focus in the Neuroscience department.


  • You have Postdoctoral training, or exceptional PhD experience, in Bioinformatics, Biostatistics, Computational Biology or similar field, including familiarity and a strong desire to work in the field of Neuroscience.
  • You have a strong scientific publication record.
  • You enjoy using creative and novel informatic approaches and datasets to bring new insights to biological problems, and then working closely with bench scientists to develop those ideas experimentally. You have basic expertise in molecular and cellular biology.
  • You have experience working with high dimensional data (e.g. single cell sequence assays, genotype or WGS data, proteomics data, etc.).
  • You have demonstrated competence in languages such as R or Python for bioinformatics analyses.

Job ID: 201907-120985

For details click here

Posted on August  09, 2019

ELBE Postdoctoral Fellows Program

Fully funded fellowships for distinguished independent postdoctoral researchers to join the Center for Systems Biology Dresden (CSBD) for a duration of 2 to 3 years. The ELBE Postdoctoral Fellows Program provides an ideal springboard to an independent research career in systems biology, biophysics, computational biology, and related areas. ELBE Postdoctoral Fellows conduct curiosity-driven research at the Center and are provided with competitive personal financial support, access to research infrastructure, and support for research expenditure and travel.

The CSBD provides an international research environment with a strong commitment to multi-disciplinary work and career development. ELBE Postdoctoral Fellows benefit from close collaborations with scientists at the Max Planck Institute of Molecular Cell Biology and Genetics (MPI-CBG), the Max Planck Institute for the Physics of Complex Systems (MPI-PKS), and the Technische Universität Dresden (TU Dresden) as well as from full access to state-of-the-art research facilities and infrastructure on the campus. These are in particular the service and facilities of the MPI-CBG, which are located next door to the CSBD. They are given freedom, mentoring, and support to develop their own research questions.

We focus on candidates with backgrounds in Computational Biology or Bioinformatics, Theoretical Physics, Biophysics, Bioimage Informatics, Computational Science, Applied Mathematics, Engineering, or Computer Science with a strong interest in working in a cross-disciplinary life-science environment. In some exceptional cases, ELBE Fellows are analytically-minded experimentalists in the field of Cell or Developmental Biology, who work between a lab and a CSBD research group.

For details click here

Data Analyst / Bioinformatics Specialist

The Nath laboratory is seeking a highly motivated, self-starter senior level technician with the ability to work with optimal resources and little direct supervision to address important questions in the genetics and genomics of the systemic lupus erythematosus (SLE or lupus), an autoimmune diseases. Using large-scale genome wise association studies (GWAS), our lab has identified several genes/genetic variants, associated with lupus susceptibility. Now we are trying to understand the specific functional effects of those lupus associated genetic variants, using cell lines, patients-derived primary immune cells or tissues. We will apply various modern techniques for studying features of three-dimensional (3D) genomic organization such as 3C, Hi-C, ChIP-Seq, RNA-seq and genome editing using CRISPR/Cas9 based techniques. Successful candidate will be proficient in wide range of analytical methods and use of bioinformatics/genetics software for analyzing and interpreting various types of data.


Master’s degree in Bioinformatics, Biostatistics, Computer Science, Genetics, Epidemiology, computational sciences or relevant field or a combination of relevant experience and education. Must have knowledge and experience of statistical genetic methods for gene-mapping for complex traits, and computer programming skills (e.g. familiarity with UNIX-like OS, and at least one programming language) are required. Master’s degree or PhD in Biostatistics/Bioinformatics desired. The successful applicant is expected to have a strong interest in genetic epidemiology of complex traits and will have experience in both the application/implementation of established methods for genetics association studies, and in methods development.

Posting Number 000115

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Posted on August  07, 2019

Research Bioinformatician

Research Bioinformatician sought by Cedars-Sinai Medical Center in Los Angeles, CA.

Duties: Work in the Genomics core as part of an integrated team of web lab and informatic scientists. Manipulate large datasets from whole genome type scans, perform tests, to determine biological significance, and visualize biologically meaningful data. Use a variety of basic analysis tools to determine genetic linkage, gene expression profiles, molecular classifiers, etc. from data generated from microarrays, qPCR data and Next Gen Sequencing. Assist in specific advanced collaborations with the Core Associate Directors and Directors and help translate developmental pipelines for filtering and analyzing large datasets. Provide general bioinformatics support for omic projects. Manage omic data including loading and querying data from database system and public repositories and transform and merge multi-level omic data into user-friendly formats. Identify, evaluate, and incorporate relevant algorithms and software pipelines. Develop, test, and maintain modular software pipelines for genome sequencing, assembly, annotation, metagenomic analysis, and genotyping. Assist or collaborate in preparation of grant proposals, publications, and presentations involving omic data.

Requirements: Master’s degree or equivalent in Bioinformatics, Statistics, Molecular Biology, or a related field plus two (2) years of biostatistics, bioinformatics, or related research experience manipulating, analyzing, and annotating genomic data sets; developing analytical pipelines for biological data and innovative data analysis; designing algorithms and writing PERL scripts for use in studies; applying algorithms for clustering and classifying samples by molecular measures; validating and presenting bioinformatic/biomedical research findings; and using various technologies including C, C++, Java, Javascript, Unix, Linux, PERL, Python, R.

For details click here

Postdoctoral research position at USC in genetic epidemiology

A postdoctoral research position is available in the Center for Genetic Epidemiology, in the Department of Preventive Medicine at the University of Southern California, Keck School of Medicine. This will be a position in the labs of Dr. Linda Polfus and Dr. Adam de Smith, both of whom have a research focus on the genetic epidemiology of complex traits. The role will mainly involve statistical genetics and bioinformatics analyses, including conducting genome-wide association studies, polygenic risk score analysis, and analysis of next-generation sequencing data to identify rare variants in predisposition genes. The research will utilize data from the Multiethnic Cohort (MEC), a large, prospective study of cancer and other phenotypes in largely non-European ancestry populations.

Candidates should have a recent Ph.D. in genetics, epidemiology, biology, bioinformatics, or a related field. Proficiency in one or more programming languages is required (e.g. R and SAS with proficiency in python, perl, C++ a plus). Competitive applicants will also have extensive experience in conducting human genetics research and analyzing large genetic datasets, and the desire to apply for external fellowship funding. Preference will be given to candidates with a compelling publication record, evidence of substantial research productivity, and ability to successfully communicate scientific information.

REQ20078150 Posted Date: 08/01/2019

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Posted on August  05, 2019

Postdoctoral Fellow in Computational Biology

EMBL is an inclusive, equal opportunity employer offering attractive conditions and benefits appropriate to an international research organization. The remuneration package comprises a competitive salary, a comprehensive pension scheme, medical, educational and other social benefits. Please note that appointments on fixed term contracts can be renewed, depending on circumstances at the time of the review.

The Boulard and Gross Groups are seeking to recruit a Postdoctoral Fellow with experience in computational biology to lead a project at the interface of epigenetics and neuroscience. The project combines the expertise of the Boulard and Gross groups in chromatin biology and neural circuits, respectively, to explore the cell-type specific interplay between transcription factors and the brain epigenome. The successful applicant will be part of a collaborative team of molecular biologists, biochemists, and neuroscientists that are working together on the large-scale exploration of previously uncharacterized transcription factors in mammalian brains.

Your role

The successful applicant will devise and carry out computational analyses of large-scale epigenomic and transcriptomic datasets internally generated, including:

  • developing methods and pipelines to analyze CutnRun and DAP-seq data sets, and
  • integrating, comparing, mining, and visualizing omic data sets.

You have

  • PhD degree in Bioinformatics, Computer Science, Mathematics, or related fields.
  • Solid skillset and experience in bioinformatics:
    • Excellent knowledge of R and biostatistics
    • Experience and proven track record in handling NGS datasets and developing analysis pipelines
  • Outstanding interpersonal and communication skills are essential

Reference Number: RM00084

Closing Date: 1 October 2019

For details click here

Postdoctoral Research Position in Computational Biology

A postdoctoral position is available in the research group of Dr. Ivan Ovcharenko at the National Institutes of Health (NIH). Our current research projects include computational studies of epigenetic and sequence-based mechanisms of gene regulation. We are developing computational approaches to decipher the regulatory landscape of the human genome. By combining next generation sequencing data with a large body of experimental enhancer characterization, our computational approaches target transcriptional mechanisms of tissue-specific regulatory signals and cell-type differences in gene regulation.

Candidates with a PhD in Computational Biology, Deep Learning, Population Genetics, Bioinformatics, or a related field and less than 5 years of prior postdoctoral experience are encouraged to apply. Advanced programming and genome data analysis skills are desirable.

For details click here

Posted on August  02, 2019

Multiple Investigator Recruitments in Genomics

The NHGRI Intramural Research Program, an internationally recognized center for advancing human health through genomics research, is seeking multiple investigators to pursue innovative, independent genomic research at the National Institutes of Health. While broadly interested in applicants from all areas of genomics and genetics research, the NHGRI Intramural Research Program is especially interested in:

Tenure-track physician scientists pursuing research in one or more of the following areas - Tenure-track physician scientists pursuing research in one or more of the following areas -

  • Gene Therapy
  • Common Diseases
  • Rare Diseases
  • Medical Informatics
  • Population Studies
  • Targeted Therapies
  • Medical Genetics
  • Pediatric Subspecialties

Tenure-track genome scientists pursuing research in one or more of the following areas -

  • Statistical Genomics
  • Bioinformatics/Data Science Systems Biology
  • Medical Informatics
  • Genetic Epidemiology
  • Evolutionary Biology
  • Functional Genomics
  • Translational Genomics

Deadline: Closes September 30, 2019

For details click here

Postdoctoral Fellow: Computational/Statistical Genomics

 The Genome Institute of Singapore (GIS, A*STAR) is the national flagship programme for genomic science in Singapore. GIS hosts the largest collection of sequencing machines in Singapore, it has a compute cluster with more than 6,000 CPUs and more than 3 PB storage capacity, and a direct high-speed connection to the National Supercomputing Center Singapore.

Our main research focus is the large-scale analysis of gene expression (‘computational transcriptomics’). We apply state of the art technology at the GIS to study how the transcriptome reflects clinical and molecular phenotypes. We analyse large scale transcriptomics data from cell lines, patient samples, and organoid models using bulk RNA-Sequencing, single cell RNA-Sequencing, long read sequencing, and spatial transcriptomics. Projects involve methods development for new transcriptomics technology (single cell RNA-Seq, long read RNA-Seq), statistical modeling of biases in high throughput sequencing data, and integration of electronic health records with genomics data. Currently we are looking for a postdoctoral fellow to analyse Nanopore Long Read RNA-Sequencing data.


  • PhD in Bioinformatics, Computer Science, Statistics, Genomics, or a related discipline.
  • Good understanding of probability and statistics, strong programming skills, and experience in one or more of the following areas: transcriptome analysis, single cell genomics, cancer genomics.
  • Publication record (first author publication)

For details click here

Posted on July  31, 2019

Computational Biologist Researcher

The Centre for Genomic Regulation (CRG) is an international biomedical research institute of excellence, based in Barcelona, Spain, with more than 400 scientists from 44 countries. The CRG shares principles of an interdisciplinary, motivated and creative scientific team that is supported by high-end and innovative technologies and a flexible and efficient administration. In November 2013, the Centre for Genomic Regulation (CRG) received the 'HR Excellence in Research' logo from the European Commission. This is a recognition of the Institute's commitment to developing an HR Strategy for Researchers, designed to bring the practices and procedures in line with the principles of the European Charter for Researchers and the Code of Conduct for the Recruitment of Researchers (Charter and Code).

A computational biologist researcher position is available in the lab of Mara Dierssen at the CRG. The Cellular and Systems Neurobiology lab at the Center for Genomic Regulation, a leading renowned center for biomedical research in Europe offers a full-time contract for a research assistant. We seek a physicist, computational biologist, computational engineer or mathematician to collaborate on (1) the imaging and analysis of whole mouse brains using light-sheet fluorescence microscopy, (2) the development of a computational framework for studying the relation between multiscale 3D neuromorphological properties and neuronal network connectivity with applications in the study of Down syndrome and (3) the analysis of stereo-EEG recordings applied to the study of seizure generation in intractable epilepsy.

Professional experience

Must Have

  • Experience in computer programming (MATLAB/Python/R/C++) is required
  • Experience in brain clearing experimental protocols is highly desirable

Desirable but not required/ Nice to have

  • Experience in Light-Sheet Fluorescence Microscopy imaging and terabyte-sized dataset handling is desirable
  • Experience in designing and developing computational methods for three-dimensional modelling is recommended
  • Experience with and/or the ability to quickly acquire skills in electrophysiological recordings and analysis (e.g. EEG/EMG) is desirable

Education and training

  • PhD in physics, computational neuroscience/biology, mathematics, computational engineering or related fields

Deadline: Please submit your application by 15/08/2019

For details click here

Computational Postdoc to the Lundbeck Foundation GeoGenetics Centre

Lundbeck Foundation GeoGenetics Centre, The University of Copenhagen, invites applications for a computational Postdoc in the research group of Thorfinn Korneliussen. The position is to be filled by 1 September or as soon as possible hereafter. Over the next 3 years the Lundbeck Foundation GeoGenetics Centre will be sequencing thousands of ancient genomes from a period spanning the last 50,000 years of human history, with the objective of elucidating human history, detecting and quantifying natural selection, and identifying environmental correlations of human genetic and demographic changes.

The candidate will work at the Lundbeck Foundation GeoGenetics Centre, a world-leading institution in ancient DNA studies. The position is for three years and is fully funded. The candidate will have opportunity to collaborate with leaders in the fields of paleogenomics, population genetics and quantitative genetics, like Eske Willerslev, Rasmus Nielsen, Martin Sikora, Fernando Racimo and Morten Allentoft.

The candidate holds a PhD or equivalent doctorate with a strong background in one or more of the following areas:

  • Population genetics
  • Human genetics
  • Genomics
  • Computational biology
  • Bioinformatics
  • Machine learning
  • Data science
  • Mathematics and/or statistics.

The ideal candidate will have previous experience in developing statistical methods in populations and a demonstrated working proficiency in programming and statistical computing (e.g. experience in Python, R, C/C++, Java or Julia) and have experience handling large data sets in the UNIX operating environment. Experience in machine learning is welcome but not required.

The deadline for applications is 11 August 2019, 23:59 p.m. CET.

For details click here

Posted on July  29, 2019

Postdoc Bioinformatician

The VIB-UGent Center for Plant Systems Biology (PSB) is a world-leading plant science institute located at the heart of a renowned Plant Biotechnology campus in Ghent, Belgium. Its mission is to unravel plant biological processes and translate this knowledge into value for society. The Systems Biology of Yield group, headed by Dirk Inzé and Hilde Nelissen at PSB are looking for a postdoc bioinformatician for 3 years. The position will be funded by an ERC advanced grant (BREEDIT), awarded to Dirk Inzé, to develop a novel breeding strategy using multiplex genome editing in maize.


  • Candidates must hold a PhD or equivalent by experience
  • Experienced in designing, conducting and analyzing large-scale, high-throughput, NGS-based genotyping and troubleshooting strategies.
  • Experience in developing bioinformatics pipelines for design and analysis of CRISPR/Cas9 genome editing: including phylogenetic analysis, target gene selection, multiplex guide and multiplex amplicon design, NGS sequencing and genome-edited variant detection, functional effect classification, integration of genotypic and phenotypic data in central database, genotype-phenotype correlation analysis.
  • Fluent in programming languages commonly used in bioinformatics (Unix, Python, R, SQL)
  • Keen on interdisciplinary research (plant physiology – bioinformatics – biotechnology – genomics - phenomics)
  • Team player, pro-active, good communication skills.

A 3-year postdoctoral position from September 1st 2019 with an internationally competitive salary and benefits.

For details click here

Postdoctoral Associate - Computational Biology/Systems Genetics

Dr. Mohammadi’s lab is looking for computational postdocs to join ongoing efforts in systems genetics and precision medicine projects. Possible projects include, but are not limited to, modeling variation in non-coding genome, identifying regulatory variations that contribute to disease, and combining genetic data with health monitoring sensor data.

Postdoctoral Associates are appointed positions for the purpose of developing scholarly competence, working under the supervision of a TSRI Faculty member. These appointments are normally not renewed beyond a total of six years. Postdoctoral Associates cannot apply for external funding either as a Principal Investigator or Co-Principal Investigator without prior approval from a Departmental Chair. Postdoctoral Associates do not have consulting privileges.

Must possess a doctoral degree. A pending doctoral degree may be considered with approval of the Principal Investigator. The position involves developing analysis pipelines for large genomic and biomedical datasets that are theoretically solid and biologically justified. Therefore, candidates holding a PhD in a theoretical field (e.g. Statistics, Computer Science, etc.) with a keen interest in genetics and biomedical research, or those with PhD/MD in biomedical sciences with substantial experience in scientific programming are encouraged to apply for the position. Lastly, experience in analyzing genomic data, NGS data, or probabilistic machine learning is a plus.

Requisition Number 06374

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Posted on July  26, 2019

Postdoc in Bioinformatics

The Novo Nordisk Foundation Center for Basic Metabolic Research (CBMR) was established in 2010 to conduct fundamental research on metabolism. It is part of the Faculty of Health and Medical Sciences, University of Copenhagen. The Center has around 170 employees from all over the world. Its employees moved into new laboratories, offices and meeting rooms in the Maersk Tower in summer 2017.

We are looking for a skilled and experienced bioinformatician at postdoctoral level, to join the group of Romain Barrès, which is part of the GECKO Consortium (Gametic Epigenetics Consortium against Obesity). This consortium, funded by a NNF Challenge Grant, aims to understand the cellular mechanisms by which environmentally-acquired epigenetic information transferred by spermatozoa to offspring can influence embryo development and predispose to obesity later in life.

We are seeking a skilled and experienced bioinformatician to perform bioinformatic comparative analyses of the responses to nutritional stress across species. In particular, DNA methylation and small non-coding RNA expression in spermatozoa will be assessed using next-generation sequencing.

Essential criteria
- PhD in Bioinformatics, Computational Biology or related field.
- Very strong experience in programming languages.
- Experience in next generation sequencing
- Strong experience with the Linux/UNIX environment, command lines, shell scripting and high-performance computing.
- Experience in applying statistical and mathematical methods to biological problems.
- Experience in experimental design and planning of experiments.
- Demonstrated capacity for effective team work.

Application deadline: August 11, 2019 23.59pm CET

For details click here


The Ministry for Primary Industries' Plant Health & Environment Laboratory (PHEL) in Auckland has a fixed-term vacancy (36 months) for a senior bioinformatician to work on a project to develop a bioinformatics toolkit for the detection of known viruses and the discovery of novel viruses from high-throughput sequencing data. The toolkit will be used to support the work of both the PHEL and the Animal Health Laboratory in Wallaceville.

In this role, you will be expected to develop an in-house automated bioinformatics toolkit for the screening of viruses in plant and animal samples of biosecurity importance. The work will involve developing an in-house viral protein database, a statistical model-based profile of conserved domains and k-mer based-approaches for virus detection. For the toolkit to be intuitive and user-friendly, it will be supported by the development of software with an easy-to-use graphical user interface to allow the laboratory diagnosticians to easily perform data analysis.

Our ideal candidate will be a highly motivated individual with the following qualifications and experience

  • PhD or post graduate qualification in biology, computer science or a related discipline
  • Experience in developing software packages and/or bioinformatics tools
  • Skills in one or more programming languages, e.g. Python, Perl, R, Java, C++.
  • Good knowledge of molecular biology and statistics
  • Proven project management skills
  • Proven planning and organisational skills

Applications close: 7 Auguse 2019

For details click here

Posted on July  24, 2019

Post-Doctoral Research Scientist, Computational Biology, Multi-scale modelling in immunology

Company: University of Nebraska – Lincoln, USA Department of Biochemistry

Subsection: The Helikar Lab: Computational and Systems Biology Group

Group Description

Computational and Systems biology group at the University of Nebraska (Lincoln, Nebraska, USA) is looking for a quantitatively trained and highly motivated post-doctoral researcher to expand and validate a virtual immune system: a mechanistic, multi-scale, and multi-cellular model of the immune system. In the model, immune cells are represented as discrete and autonomous entities in an agent-based framework in various compartments, while the extracellular environment is described as continuous concentrations by ordinary differential equations. Each cell is also modelled at additional molecular scales to capture the dynamics at the level of metabolism, gene regulation, and signal transduction, using various mathematical and computational approaches. In addition to life sciences research, we also develop technologies (such as Cell Collective) to make computational systems biology broadly accessible to users with varying computational background. More information about our group at


  • Essential qualifications and skills include:
  • PhD in a quantitative subject such as computational biology, bioinformatics, engineering, mathematics, physics, and computer science, or equivalent.
  • Deep understanding of immunology.
  • Mastery of modelling frameworks (at least one of differential equations, agent-based modelling, logical modelling, and constraint-based modelling) and their use in multi-scale modelling of complex biological systems.
  • Strong expertise in parametric estimation.
  • Computational and programming competence (e.g., C++, MATLAB, and LINUX).

Those interested in this role will respond with their updated CV to with the best day, time and number to be reached.

Postdoctoral Position for Computational Biologist in Translational Genomics

The German Cancer Research Center is the largest biomedical research institution in Germany. With approximately 3,000 employees, we operate an extensive scientific program in the field of cancer research. The DFG-funded Emmy Noether research group of Priya Chudasama, Division of Precision Sarcoma Research at the German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT) Heidelberg seeks a postdoctoral scientist in computational biology to work on translational research projects involving multi-omics characterization of bone and soft-tissue sarcoma with the aim to improve understanding of sarcomagenesis and identify targets for precision cancer treatments.

Sarcomas are a large and heterogeneous group of aggressive tumors with significant genetic and histologic diversity, variable clinical course, and very few treatment options, thereby posing an urgent need to develop more effective and well-tolerated therapies. The research group of Priya Chudasama aims to address this challenge by systematic investigation of the genomic, epigenomic, transcriptomic and immunologic landscapes of a large cohort of prospectively collected and clinically annotated primary human sarcoma specimens employing state-of-the-art technologies, followed by investigation into the functional and mechanistic consequences of selected alterations.

The qualified candidate will spear-head the analysis of next-generation sequencing datasets generated within the DKFZ – HIPO (Heidelberg Center for Personalized Oncology) and the clinical sequencing program NCT/DKTK-MASTER (Molecularly Aided Stratification for Tumor Eradication) as well as publically available datasets to investigate the following main objectives:

  • Targeting perturbed telomere maintenance mechanisms in sarcomas
  • Integrative analysis of deregulated epigenetic mechanisms in sarcomas
  • Inquiry of the immune landscape of sarcomas to identify entry points for individualized immunotherapeutic approaches

The candidate will contribute to data interpretation, visualization and inform experimental study design in close collaboration with a team of molecular biologists, clinical bioinformaticians and clinician scientists in spanning Divisions of Translational Medical Oncology (Prof. Dr. med. Stefan Fröhling), Applied Bioinformatics (Prof. Dr. Benedikt Brors), Applied Functional Genomics (Prof. Dr. Claudia Scholl) as well as support national and international collaborative projects of the group.

Code number: 2019-0238

Application Deadline: 09.08.2019

For details click here

Scientist - Bioinformatics

 A member of the Roche Group, Genentech has been at the forefront of the biotechnology industry for more than 40 years, using human genetic information to develop novel medicines for serious and life-threatening diseases. Genentech has multiple therapies on the market for cancer & other serious illnesses. Please take this opportunity to learn about Genentech where we believe that our employees are our most important asset & are dedicated to remaining a great place to work.

The Sequencing Applications and Genome Engineering (SAGE) bioinformatics group at Genentech is looking for a motivated scientist to join our team. Working in a highly collaborative environment, the successful candidate will develop and apply bioinformatics resources to support next-generation sequencing applications in addition to methods aimed towards accelerating our advanced animal and cell engineering and genetic screening platforms. He/she is expected to play an active role in subsequent analysis and interpretation of data in close collaboration with wet lab scientists. Ultimately this work will deepen our understanding of biological systems and provide insight for the development of enhanced engineering workflows.


  • PhD in bioinformatics, computational biology or similar, with a strong publication record. Alternately, a PhD in molecular biology with a very strong record of high-throughput data analysis, supported by publication in this area.
  • A solid understanding of algorithmic approaches to analyze genomic data as well as tools and genome databases. Candidates with working knowledge of genome editing and gene expression/function will be prioritized.
  • Experience and interest in analyzing data generated by next-generation sequencing genomic applications, Nanopore long read sequencing and RNA-Seq technologies.
  • An understanding of the statistical principles, machine learning methods and current best practices in high-throughput molecular data analysis.
  • Strong experience in the use of a high-level programming language such as R or Python for complex data analysis, familiar working in Linux and HPC compute environment.

Job-ID 201904-110911

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Posted on July  22, 2019

Computational Biologist

The USGS Immunomodulation team is seeking a highly skilled scientist to lead efforts assessing the effect(s) of environmental stressors on fish and wildlife health. The successful candidate will lead bioinformatic approaches designed to address changes in the host transcriptome, epigenome and microbiome during microbial infection and responses to various stressors.

The candidate will play a key role within a highly interactive, multi-institutional research team and program that are dedicated to the health of fish and wildlife. Candidates will have experience with genetic analysis software and fluency with programming and script languages such as R, JavaScript and/or Python. A master’s degree with post graduate experience or doctoral degree in computational biology, biostatistics and/or other major disciplines within the biological sciences (e.g. Biology, Microbiology etc) are required.

For details click here

Post Doctoral Associate in Bioinformatics

Postdoctoral positions in Bioinformatics/Computational biology/Genomics Big Data Science are available in the laboratory of Chan Zhou ( ) at the University of Massachusetts (UMass) Medical School The research goal of the Zhou Lab is to understand genomics, epigenomics, noncoding RNAs and gene regulation from basic sciences towards precision medicine of human disease through computational and big data-driven approaches.

The ideal candidate will have interest in working in a collaborative environment at the interface of computational biology, RNA epi-genomics, and human disease. The position entails the development of new computational algorithms, statistical/quantitative methods, and combining cutting-edge bioinformatics technologies to process various types/platforms of sequencing data (including second and third generation sequencing and single cell sequencing data) to make biomedical discoveries.


  • Ph.D. in computational biology, bioinformatics, computer science, applied mathematics, statistics, biophysics, engineering, biological sciences or related field.
  • Experience in method development and/or analysis of high-throughput sequencing data is highly desirable.
  • Working knowledge of molecular biology and sequencing technologies
  • Familiarity with Unix/Linux shell and at least one of the following programming languages:  C, C++, PERL, Python, or R.

Job Number: 2019-33311

For details click here

Posted on July  19, 2019

Postdoctor in Embryo Epigenetics - Bioinfomatics and/or Wet Lab

A postdoctoral fellowship in epigenetic computational analysis is now available in the Dahl research group. We are seeking highly motivated postdoctoral research fellows to lead studies to understand epigenetic regulation in early embryo development. Situated at the Oslo University Hospital, the Dahl Laboratory is well positioned for conducting both basic and translational research using mouse and patient material. Specific projects focus on the epigenetic reprogramming of early embryo development and its significance for human reproduction. An overarching theme is the understanding of mechanisms and epigenetic information in the passing of life from one generation to the next, building on our recent discoveries (Dahl et al., Nature 2016).

The successful candidate will be involved in leading one or more well-funded projects, and in addition the candidate will have the freedom to develop his/hers own ideas into new projects. The candidate is expected to be involved in study design and to perform analysis of genomics and epigenomics data resulting from e.g. ChIP-seq, WGBS, RNA-seq, ATAC-seq, Hi-C etc.

A strong computational and statistical background is considered an advantage. Previous experience with (epi)genomic data analysis and an understanding of biology will be considered an advantage. Candidates with bioinformatics experience in short read DNA sequencing analysis and genome scale integrative analysis of diverse experimental datasets will be favored. Potential candidates have completed a PhD degree in bioinformatics/genomics or computer science, or similar fields, preferably with one or more publications in internationally well-renowned, peer-reviewed scientific journals.

Education level PhD degree in bioinformatics/genomics or computer science, or similar fields, with one or more publications in internationally well-renowned, peer-reviewed scientific journals.

Webcruiter ID: 4107326408

Application deadline: 20/08/2019

For details click here

Posdoc position in computational medical epigenomics

The Institute for Computational Genomics, RWTH Aachen University performs cutting edge research on computational and genomic methods for understanding regulatory and epigenetic processes driving cell differentiation and diseases (Gusmao, Nature Methods, 2016; Li, Genome Biology, 2019; Frank, Cell Stem Cell, 2019). We are looking for a Ph.D. student or postdoc to work on novel statistical machine learning approaches for the detection of epigenetic and regulatory programs leading to diseases. This includes the analysis of open chromatin (ATAC-seq) and DNA methylation profiles of patient cohorts, which are performed in collaboration with biomedical specialists from RWTH Aachen and Ulm University.

Applicants should hold a M.Sc. (Ph.D.) in Bioinformatics or Computer Science. Experience in the analysis of biological sequences and regulatory genomics is required. The candidate should have solid programming skills (C, Python and/or R) and acquaintance with Unix/Linux. Experience with high performance computing is a plus. The working language of the group is English. The position is a will be initially for 3 years with possibility of extension. The salary corresponds to level 13 TV-L.

Interested candidates should send a brief statement of research interests, CV and the names of three references to

For details click here

Posted on July  17, 2019

Postdoctoral Associate, SMART CAMP

SMART CAMP (Critical Analytics for Manufacturing Personalized-Medicine) is a new interdisciplinary research programme in Singapore (CREATE international research campus and innovation hub) and at the Massachusetts Institute of Technology (MIT). SMART CAMP addresses key technology bottlenecks in cell therapy manufacturing: (i) critical quality attributes of safe, effective cell therapy products; and (ii) integrated process analytics to monitor and modulate those attributes. While cell therapies are poised to transform healthcare for both the industry and the patient, there remain many outstanding scientific and technical challenges to significant global impact that this R&D programme addresses.

Flagship Project 1: Label-free critical quality attributes (CQA) for personalized efficacy of cell therapies, including multivariate analysis of biological and biophysical attributes

Flagship Project 2: Rapid critical quality attributes (CQA) for safety of cell sources & cell therapy products, including process analytic technologies (PAT)

Flagship Project 3: Integrated process analytic technologies (PAT) for cell proliferation and recovery, including in-line and intermittent monitoring to promote efficacy and safety CQA

We will also conduct multi-omics profiling of single cells that links functional measurement to molecular phenotype (e.g., transcriptome). Successful completion of this project will shed light on the biochemical determinants of cell function, thus enabling better control of cell manufacturing processes for multiple cell types and targeted indications. The PDA will work with an interdisciplinary team of engineers and biologists, and gain exposure to microfluidics device design, next generation sequencing, and bioinformatics analysis.

Job Requirements

  • Ph.D. degree in biological engineering, biomedical engineering, mechanical engineering, electrical engineering or other relevant engineering field is required.
  • Strong hands-on ability to design and carry out experimental engineering / instrumentation
  • Creativity to solve challenging technical problems with uncertainty
  • Good communication skills to work with researchers from biological / clinical backgrounds
  • Good track record of publications and scientific output
  • Able and committed to work in Singapore

For details click here

Research Bioinformatics Scientist

At AstraZeneca, we are constantly pushing the boundaries of science to deliver life-changing medicines to patients, with a real passion for discovery and a pipeline to show for it. Here, you’ll have the opportunity to make a difference in people’s lives every single day. AstraZeneca is looking to invest in the data management and analysis platforms underlying its existing and emerging drug discovery platforms, through its long term Growth Through Innovation Strategy. Within the new Data Science and AI Group, you will be working with colleagues to build data management and analysis foundations for the future. The Bioinformatics Scientist, located in Gaithersburg, MD, is primarily responsible for advancing scientific knowledge through the use and development of Bioinformatics tools and approaches and applying that knowledge to drug development programs and innovative research.

The candidate will have a strong background in analyzing quantitative MS-based proteomics or metabolomics data. Direct experience developing analytical techniques and data integration methodologies in support of biomedical research is required. The successful candidate will work closely with the expanding proteomics, metabolomics and protein biochemistry group using state-of-the-art Omics technology to investigate a number of biological questions. This is a key bioinformatic position that requires comprehensive expertise and hands-on experience in this area to support drug development projects.

Major Duties and Responsibilities

  • Perform expert informatics research, including establishment of scientific hypotheses that can be approached using computational methods and tools, execution of bioinformatics projects and analyses to support biopharmaceutical projects both as directed and as opportunities present themselves
  • Conduct the analysis of proteomics and metabolomics data from projects at different stages of drug discovery and development. The analysis may include data ingestion, QC, pipelining, integration, functional interpretation and visualization
  • Support the multiomics data discovery activities through the design and delivery of novel algorithms, tools and techniques including feature detection, machine learning and intelligence

Essential Skills & Experience:

  • 1-3 years of postdoctoral experience within a pharmaceutical/biotech company, academic or other relevant biomedical research environment required
  • Proficiency in common programming/scripting languages (e.g. R, Python, SQL, JAVA, C++, .NET) and their application in biomedical research
  • Demonstrated understanding in the methods of protein or metabolite identification and quantitation by mass spectrometry, and proficiency in MS bioinformatics software and analysis tools
  • First-hand experience in integrated analysis of large, complex proteomics and/or metabolomics datasets for biological insights, mechanisms of action, employing pathway analysis, modeling, machine learning and other approaches

For details click here

Posted on July  15, 2019

Postdoctoral Fellow in Computational Single Cell Genetics

The research group of Wolfgang Huber at EMBL works on biological data science and mathematical/computational method development. The interdisciplinary and international team has strong collaborations with researchers in developmental biology and cancer and uses cutting edge experimental data for statistical computing and probabilistic modelling to enable discovery and understanding of biological principles and biomedical applications.

Project DECODE aims to comprehensively map, model and understand genetic networks at single cell resolution in complex tissues in vivo, in the living organism. The project combines high-throughput reverse genetics by cell type specific inducible CRISPR-Cas9 gene knockout, single-cell RNA-seq (Perturb-Seq), imaging-based phenotyping, statistical data analysis, and mathematical and computational modelling. To drive this new, ERC Synergy funded collaboration between the developmental genetics labs of Michael Boutros (DKFZ) and Jan Lohmann (University of Heidelberg) and the computational groups of Wolfgang Huber (EMBL) and Oliver Stegle (DKFZ & EMBL), we are looking for postdocs in the areas of biological data science, probabilistic modelling, statistical inference and scientific computing.

A PhD or equivalent qualification in a quantitative science (mathematics, statistics, physics, computer science, computational biology). We are looking for a range of talents, which should include some of the following: strong theoretical foundations in probability, statistics, linear algebra and geometry; high-dimensional statistics, machine learning and Bayesian approaches; biological data science and data-driven discovery; scientific programming. Applications from “newcomers” into biology are welcome.

Closing Date: 18 August 2019
Reference Number: HD01486

For details click here

Postdoctoral Fellow – Single Cell Computational Epigenomics

The Helmholtz Pioneer Campus (HPC) is an innovation campus with a startup culture, founded and funded by the Helmholtz Zentrum München. HPC stands for the smart fusion of biomedical sciences, engineering and digitization in a research environment that has no parallel in Europe.

The Bonev lab studies how 3D genome organization and epigenetic modifications regulate cell identity during brain development. Using highly interdisciplinary approaches such as single cell multi-omics, live imaging and computational biology, we aim to understand how chromatin landscape influences cell fate decisions in development and evolution. We are based at the Helmholtz Zentrum München and hence part of an excellent network dedicated to epigenetics and neurosciences including the MPI for Neurobiology, the LMU and TU Munich as well as broad international collaborations.

Your profile

Our ambitious and interdisciplinary team consists of passionate and motivated people from around the world. To further support our research, we are looking for talents willing to develop and execute the next breakthrough ideas. Ideal candidates therefore should possess:

  • PhD in a relevant discipline (Bioinformatics, Computational Biology, Life Science …)
  • Programming experience in at least one programming language (preferably R or Python, Perl) and experience with data processing pipelines would be desirable
  • Previous experience in analysis of high-throughput sequencing data and statistical modelling of high-dimensional data is highly desirable
  • Expertise in regulatory genomics analyses and genome scale integrative analysis of experimental datasets is highly beneficial (e.g. RNA-seq, ChIP-seq, DNA methylation, chromatin accessibility, 3D Genome).
  • Experience with single-cell datasets (scRNA, scATAC …) is preferred but not required
  • Good publication record with evidence of independence
  • Fluent in written and spoken English

For details click here


Posted on July  12, 2019

Post-doctoral Fellowship – BC Cancer Research Center, Vancouver BC

A postdoctoral fellowship position is available in the Aparicio lab based at the BC Cancer Research Centre in Vancouver, Canada, collaborating on an exciting project mapping clonal dynamics in human cancers with new single cell methods. The Aparicio lab is developing new single cell genome and transcriptome methods for tracking clonal trajectories at single cell level in patients and patient-derived xenografts.

The post holder will have the opportunity to interact as part of the international CRUK Grand Challenge IMAXT project, bringing new measurement methods and computational techniques to the 3D reconstruction of tumour and mapping drug sensitivity and drug combinations using sgRNA/CRISPR methods in vivo. The program works closely with the Shah Lab computational biology program on the development of new models for single cell data and cancer evolution. Some experience with bioinformatics approaches to biological data and familiarity with handling of genomics data will be an advantage.

How to apply:

I. Please send the following information to :

1) Cover letter

2) Resume

3) Transcript

4) Work sample

II. Please put “Single Cell Genomics, Molecular Biology – Aparicio Lab – PDF Position” and your family name in the subject line.

Three Postdoc positions in mass spectrometry-based proteomics and cell signalling

Three postdoctoral stipends are available in the group of Jesper Olsen at the Novo Nordisk Foundation Center for Protein Research (CPR – The Center is part of at the Faculty of Health and Medical Sciences, University of Copenhagen, and was established to promote basic protein research and comprises a wide range of expertise and technology platforms including mass spectrometry, imaging, protein production and biophysical characterization.

The Postdoc research projects aim at developing and applying tandem mass spectrometry (MS/MS) based methods to identify and quantify cellular phosphor-signaling networks as a function of stimuli and time. The development of data-independent acquisition strategies and application of such methods to study phosphoproteomes of growth factor activated cells, tissues, organs and patient material. The project will also require careful development of activities for public engagement as well as writing scientific articles, papers, reports or books, as appropriate.

Essential experience and skills:

  • You have a PhD in biotechnology, biochemistry, analytical chemistry, or related science.
  • Strong scientific track record demonstrated by high-quality publications about MS-based proteomics and/or cell signalling in peer reviewed international journals as first author.
  • The candidate should be able to conduct independent and creative research, and show good inter-personal and communication skills.
  • Perform independent, high-quality research and developments in mass spectrometry-based proteomics technologies and apply this to global analysis of protein digests and PTM-enriched samples.

Application deadline: 15 August 2019, 23.59 p.m. CET.

For details click here

Posted on July  10, 2019

Postdoc position in Computational Biology/ Genomics/Transcriptomics/Bioinformatics

ETH Zurich is one of the world’s leading universities specialising in science and technology. It is renowned for its excellent education, its cutting-edge fundamental research and its efforts to put new knowledge and innovations directly into practice. At the Institute of Agricultural Science, the Animal Genomics and Animal Physiology Groups address sequence variation in livestock populations and the complex regulation of physiology. Reproductive challenges are specifically in focus and include an epigenetic perspective on cellular communication in livestock and wildlife.

The Postdoctoral researcher will implement bioinformatic methods to combine short and long sequencing reads for the de-novo assembly of large animal genomes. Sequencing technologies that generate long-read sequence data from single molecules at sufficient throughput facilitate the de-novo assembly of large genomes at unprecedented contiguity. High-quality genome assemblies are available for many mammalian species but such a resource is missing for the European roe deer (Capreolus capreolus). We envisage to combine long- and short-read sequencing data to generate a first de-novo assembly of the European roe deer and to perform RNA-Seq and Methyl-Seq analyses.

We are looking for an early experienced, highly motivated young researcher with a strong enthusiasm to conduct cutting-edge research in the interdisciplinary field of computational biology, bioinformatics and functional genomics in the context of livestock and wildlife physiology. The successful candidate is expected to contribute to ongoing genomics-related projects in our young interdisciplinary research group. A PhD in Bioinformatics, Genomics or a discipline related to the outlined project is required. Proficiency in the analysis of long-read sequencing data is expected and experience in the assembly of eukaryotic genomes is highly desired. Candidates should have demonstrated their ability to work independently in an interdisciplinary research environment.

For details click here

Bioinformatics Specialist

The Howard Hughes Medical Institute is seeking a highly motivated bioinformatics programmer to join Dr. Norbert Perrimon’s group at Harvard Medical School. We are seeking a candidate who will provide computational support to a dynamic research team by developing and maintaining lab information management systems (LIMs), online research software tools, and related pipelines that facilitate large-scale functional genomic studies. You will work collaboratively with a small team of biologists and programmers in a fast-paced environment.

Principle responsibilities:

  • Design and implement reusable bioinformatics analysis pipelines for processing RNA-seq, single-cell RNA-seq, genomics and proteomics data.
  • Integrate computational methods/pipelines with high performance computing clusters.
  • Establish and customize genomic, proteomics databases and provide batch analysis utilities that make use of these resources.
  • Develop custom databases and web portals for managing raw and processed experimental data.
  • Develop APIs of DRSC/TRiP existing databases.
  • Collaborate closely with Investigator and lab members on research projects including defining the scope of the collaboration, researching the scientific topics and implementing the appropriate bioinformatics solutions that meet project timelines.

Preferred Qualifications:

  • Strong background in programming and algorithms. Fluent in one programming language (Python, C, C++ or Java) and familiarity with scripting languages (bash, Perl)
  • Experience using genome alignment software (bowtie2, bwa, tophat, etc.) is desired.
  • Familiarity with programming techniques for analyzing data sets.
  • Experience working with BIG DATA (eg. NGS data in multi-TB scale).
  • Experience using relational databases, SQL and / or structured data formats.
  • Knowledge of Unix operating system, terminal and bash is a plus.
  • Experience using a compute cluster.
  • Web programming experience (PHP, Django, JavaScript, JQuery, JSON, REST API) is a plus.

Tracking Code  CC30540

For details click here

Posted on July  08, 2019

Postdoctoral Fellow in Computational Cancer Genomics

The Institute of Biomedicine is involved in both research and education. In both of these The Institute of Biomedicine is involved in both research and education. In both of these areas, we focus on fundamental knowledge of the living cell – what it consists of, how it works, how its function is directed by the genetic material, and how it interacts with various kinds of micro-organisms. Using this knowledge, we try to elucidate the causes of diseases, and find new ways to diagnose and treat them.

The project will involve bioinformatics analysis and integration of large-scale genomic data from tumors, including relevant public datasets. The emphasis will be on biological questions rather than bioinformatics methods. The work will be carried out in collaboration with experimental scientists. Relevant recent publications from our group include: Elliott et al., Plos Genetics 2018; Fredriksson et al., Plos Genetics 2017; Alaei-Mahabadi et al., PNAS 2017; Ashouri et al., Nature Comm. 2017; Stewart et al., Plos Genetics 2015; Fredriksson et al., Nature Genetics 2014; Tang K-W et al., Nature Comm. 2013.

An achieved doctoral degree is compulsory for a position as postdoctor at Göteborg University. The doctoral thesis shall be in a relevant area according to the specific position stated here. Since a position as postdoctor aims to give new holders of the doctorate the opportunity mainly to strengthen and develop their scholarly proficiency, we aim for those who have a doctoral degree not older than 3 years counting from last date of application.

Apply by: 2019-08-04

For details click here

Postdoctoral researcher in metabolomics of respiratory disease

We have an opening for an individual wishing to join a multidisciplinary team aiming to understand mechanisms in asthma, COPD and other respiratory diseases. Chronic lung disease is one of the largest noncommunicable diseases globally, with 4 million deaths in 2012 alone. The successful candidate will be expected to use and further develop LC-MS-based methods for both non-targeted and targeted metabolomics. The primary focus of the position is to perform metabolomics analyses for the molecular sub-phenotyping of obstructive lung disease in multiple large cohort studies. In particular, we aim to examine the relationship between the onset of lung disease and early-life environmental exposure in an exposome approach. This work will be performed in birth cohorts designed to correlate antenatal and postnatal exposure with disease etiology. The acquired metabolomics data will be integrated into an overall “handprint” of multiomics data.

The successful applicant will belong to the Integrative Molecular Phenotyping laboratory ( in the Department of Medical Biochemistry and Biophysics. The Karolinska Institute is one of the world´s leading medical universities. Its mission is to contribute to the improvement of human health through research and education.

Qualifications: We are looking for highly motivated candidates with a Ph.D. in mass spectrometry or bioanalytical chemistry and experience in small molecule mass spectrometry. Candidates should have demonstrated experience in LC-MS based metabolomics. We are especially interested in candidates with prior experience working with large clinical studies. Experience with computer programming (e.g., R, Matlab) and multivariate statistics (e.g., SIMCA) would be a significant merit. Excellent communication skills and an ability to interact socially and scientifically with other post docs and students in the laboratory and with collaborators in various networks are essential.

Reference number 2-3806/2019

Last application date 02.Aug.2019 11:59 PM CET

For details click here

Posted on July  05, 2019

Postdoctoral Scientist - Bioinformatician

The Pirbright Institute delivers world-leading research to understand, predict, detect and respond to viral disease outbreaks. We study viruses of livestock that are endemic and exotic to the UK, including zoonotic viruses, by using the most advanced tools and technologies to understand host-pathogen interactions in animals and arthropod vectors. Our major strength in understanding the immune systems of livestock provides a platform to control current diseases and respond to emerging threats.

Responsible for combining different data sets to increase confidence of pathogen-specific immune response:

  • Accurately identify, quantify and compare individual antibody transcripts from high-throughput sequencing data (Illumina / PacBio), using an existing pipeline
  • Characterise antibody heavy and light chains for CDR3 length, gene segments usage, levels of hypermutation and cluster abundance
  • Use an established statistical model to identify unique peptides and quantify variation in antibody derived mass spec data for antigen-specific antibody identification
  • Link transcriptomic and mass spec data to select antigen-specific antibodies of interest


  • A PhD or equivalent in a relevant branch of biosciences
  • Significant and relevant experience in a recognised R&D environment
  • Experience with high-throughput sequencing data analysis
  • Competent working within a Linux environment
  • Excellent oral and written communication skills
  • A good understanding or experience of working with either antibodies or other variable immune genes
  • A publication record commensurate to the applicant’s career stage

For details click here

Postdoctoral Fellow in Bioinformatics

Iwasaki Lab (Department of Biological Sciences, the University of Tokyo) seeks for enthusiastic researchers who are experts in bioinformatics, microbial genomics, environmental microbiology, or evolutionary studies and wish to conduct research regarding bioinformatics of diverse microbes.

Prepare a PDF file containing all of the followings and use the JREC-IN Portal Web application to upload it.
1. CV (in UTokyo Standard Resume Format or any format containing the equivalent information)
2. Publication list (in any format where peer-reviewed papers are indicated. Awards and services to communities can also be described)
3. Document on your research achievements, skills, and motivation (in any length).
4. Name, position, telephone number, email address of one or more reference(s)

For details click here

Posted on July  03, 2019

Postdoctoral Fellow in Bioinformatics

The Computational Genomics Lab at Baylor College of Medicine is searching for a highly motivated and talented post-doc candidate to work on penetrance estimation and precision medicine. The position will be involved in the development and application of computational approaches to understand the mechanism of human diseases, especially cancer. The Lab is interested in understanding the genetic architecture of complex diseases and this position is particularly focused on penetrance estimation using data from both pedigrees and large scale targeted sequencing studies. The candidate should have training or experience in statistical genetics. A candidate is expected to collaborate in a team environment and with clinicians who are studying cancer risk. The position offers an extraordinary team-based science environment with opportunities for significant education, training and career development. Baylor College of Medicine is located at the Texas Medical Center, which is the largest medical complex in the world and provides an ideal environment for scientific and clinical research.

Required:  PhD degree in Biostatistics, Bioinformatics or a related field (e.g. statistics, computer science or quantitative biology).


  • Experience in the application and development of computational methods/tools or machine learning algorithms.
  • Good computer programming skills in C++ and R, knowledge of PERL or Python.
  • Knowledge of basic molecular biology, genomics.

Posting Number: 312843SV

For details click here


The Bioinformatics-Sannio research group located at University of Sannio in Benevento and Biogem Research Institute in Ariano Irpino (AV) is seeking highly motivated bioinformaticians with expertise in next generation sequencing data analysis, functional genomics and system biology preferably in the context of cancer. Positions are funded by highly regarded research grants (AIRC and PRIN). We are a multidisciplinary research group where people with different backgrounds (biologists, bioinformaticians, statisticians, and computer scientists) cooperate on cutting edge problems especially related to cancer research. Historically we contributed to the discovery of a driver gene fusion (FGFR3-TACC3) in human glioblastoma (Singh et al. Science, 2012) that we recently characterised as a mitochondrial activator (Frattini et al. Nature, 2018). Our research focuses mainly on the development of novel computational methods and their application on real biological research projects. So we are continuously in touch with interested molecular biology research groups to validate computational discovered hypotheses.

We are currently seeking for junior and senior profiles. Our approach to research let people work in a freedom environment where tasks and activities are determined by short and long term objectives and merits are judged by obtained results. Typically junior candidates will work under the supervision of senior researchers, while senior researchers will be responsible of the activities of one or more junior researchers and will be involved in the mentoring of candidate PhD students. Senior candidates must have at least 3 years experience in a respected bioinformatics research lab.

REQUIREMENTS: Use of the Linux operating system and at least one programming language (Perl, Python, R). Knowledge of bioinformatics algorithms, biological and genomic databases, genome browsers and programmatic access to these resources. Experience in design and development of bioinformatics pipelines. Experience in next generation sequencing data analysis.

EDUCATION: PhD in Computer Science, Biology/Bioinformatics, or related field. Master degree in computer science or Biology/Bioinformatics for junior profile.

For details click here

Posted on July  01, 2019

Postdoctoral Research Associate (Bioinformatics, Mohlke Lab)

The postdoctoral research scholar will investigate the mechanistic role of human genetic variants and genes in common cardiometabolic diseases with complex inheritance patterns. Projects may include detecting allelic differences in transcriptional activity or protein function; CRISPR/Cas-based editing and screening to identify genes affecting insulin resistance or insulin secretion; and epigenome and transcriptome analyses (ATAC-Seq and RNA-Seq) of normal versus perturbed cells to identify regulatory elements and pathways that lead to disease. The scholar will perform and report research, contribute to laboratory activities, actively participate in collaborative projects, and mentor students.

The position requires excellent basic cellular/molecular skills, including experience with molecular genetics, gene expression analyses, cell culture and genomics. A strong background in human genetics and experience in bioinformatics, genome editing, high-throughput screens, or metabolic assays are preferred. The candidate must be able to function in a fast-paced environment, manage multiple tasks, and be willing to learn new techniques. Successful applicants will have fewer than three years of research experience after receipt of a doctoral degree, excellent communication skills, scientific creativity, and the ability to work both independently and in a collaborative team environment.Ph.D. in Life Science.

Position Number: PDS002451 
Closing Date:  08/30/2019

For details click here

Postdoctoral Associate (Statistical Research on Alzheimer’s Disease)

The University of Miami is among the top research universities and academic medical centers in the nation, and one of the largest private employers in South Florida. With more than 16,000 faculty and staff, the University strives for excellence, and is driven by a powerful purpose to transform and impact the lives of its students, patients, members of the community, and people across the globe.

The John P. Hussman Institute for Human Genomics at the University of Miami, Miller School of Medicine, has an exciting opportunity for a Postdoctoral Associate. The Postdoctoral Associate will work on the statistical genetic aspects of Alzheimer’s Disease (AD), as part of the multidisciplinary International Consortium. This position will work on research directed towards identifying genes and the mechanisms that they influence to increase the risk of or prevent the onset of AD.

The duties and responsibilities for this position may include, but are not limited to:

  • The Postdoctoral Associate will conduct research on Alzheimer’s Disease
  • Perform basic analyses of next-generation sequencing data including quality control filtering and bioinformatic interpretation
  • Conduct research in human disease models to evaluate candidate genes for above mentioned disorder
  • Confer with principal investigator to review work assignments and develop plans for research experiments; make minor modifications to existing laboratory procedures and techniques to meet the needs of the particular equipment as required

Minimum Qualifications

PhD or MD required. Experience in statistical genetics, statistics, genetic epidemiology, or bioinformatics preferred. The ability to work as part of an interdisciplinary team is expected.   

For details click here

Posted on June  28, 2019

Postdoctoral Scientist - Bioinformatics and Functional Genomics

The Knott Lab is searching for a computational biologist post-doctoral scientist that is interested in applying single cell profiling technologies to study breast cancer progression. We are part of the Center for Bioinformatics and Functional Genomics at Cedars Sinai Medical Institute, in Los Angeles California. The lab is currently focused on developing molecular and computational tools to study the mechanisms that cancer cells employ to metastasize and evade therapy. We are particularly interested in next-generation therapeutics that target the interactions between malignant and non-malignant tumor cell types, such as immune checkpoint inhibitors.

Job Duties:
  • Develop and employ a variety of computational tools to analyze single cell expression profiling data.
  • Develop, implement and adapt software tools to analyze single cell genomic and proteomic data
  • Analyze, interpret and summarize single cell data
  • Participate present findings in weekly meetings
  • Publish findings in peer reviewed journal
  • Attend present findings at scientific meetings in and outside of the Los Angeles area
Education Required: 
  • PhD in Computational Biology or related field
Experience Required: 
  • The candidate should be comfortable in an HPC or Cloud environment.
  • Graduate level understanding of statistics, probability and algorithms.
  • Fully proficient in at least one scripting language (e.g. Python) and at least one mathematical package (e.g. Matlab or R).
  • The ideal candidate will have a background working with single cell sequencing data and a general understanding of cancer biology.

Requisition # 18002053

For details click here

Research Project Manager and Data Analyst, Microbiome Analysis Core

The Harvard T.H. Chan School of Public Health (SPH) Microbiome Analysis Core in the Department of Biostatistics (HMAC, in association with the Huttenhower lab ( is seeking a Research Project Manager and Data Analyst to manage projects and analyze data from projects within the BIOM-Mass Initiative. The HMAC provides collaborative analysis activities for the human microbiome in public health population studies, currently comprising funded projects at the Harvard T.H. Chan School, throughout the Boston life sciences community, and nationally. BIOM-Mass is an initiative to create and maintain the world’s most comprehensive human microbiome specimen collection and data portal, using samples from more than 25,000 individuals from the Harvard T.H. Chan School-based Nurses’ Health Study II, other long-running cohort studies, and newly funded studies. BIOM-Mass was launched via funding from the Massachusetts Life Sciences Center (MLSC).

This position will involve carrying out microbiome research through project management and data analysis. Responsibilities will include, but are not limited to, full project management for BIOM-Mass-associated activities -- from initial research consulting during the project preparation stage to creation and assessment of data analysis outputs. Specifically, the BIOM-Mass platform and affiliated project duties for this position will comprise population-scale human microbiome epidemiology, associated consulting and management (collaborating/emails/meetings/calls), BIOM-Mass standardized sample collection kit logistics (coordination/creation/vendor interactions), grant preparation, coordination with the BIOM-Mass biobank, data curation and distribution, computational and biostatistic analysis of generated data, and results interpretation/discussion with collaborators.

Basic Qualifications

  • Bachelor's degree required
  • 3+ years of related experience required
  • Working knowledge and proficiency in R software and/or Python required

Additional Qualifications

  • Master's degree in Biology, Bioinformatics, Computer Science, Biostatistics, or related field strongly preferred
  • Experience with quantitative biological project management strongly preferred
  • Working knowledge and proficiency in Linux/Unix software environments for scientific computing and computing clusters (e.g. Slurm manager) strongly preferred
  • Basic familiarity with scientific software management preferred
  • Familiarity with molecular biology, microbiology, and/or genomics preferred

Job Code 405012 Admin Professional (N)

For details click here

Posted on June  26, 2019

Bioinformatics Scientist

The Harvard FAS Informatics Group, in collaboration with the Woo Lab in the Department of Chemistry and Chemical Biology at Harvard University, seeks a bioinformatician or cheminformatician for proteomics analysis, with a focus on modification site analysis in the proteome. This position will be dedicated in part (50% of total effort) to ongoing, NIH-funded projects in the Woo lab to analyze data arising from sugar-based modifications in the proteome and binding site hotspot maps using cutting edge chemical proteomics techniques. This is an exciting opportunity to be a key member of an interdisciplinary team that will revolutionize our understanding of the way small molecules act on protein function.

Based within the Informatics group at Harvard, the successful candidate will:

  • Work closely with Woo lab graduate students, postdocs, and collaborators to derive novel biological insights from large scale proteomics data
  • Lead bioinformatics efforts to analyze novel modification site datasets, and use statistical methods to uncover relationships between the modification site on protein function
  • Teach bioinformatics workshops to the Harvard community on proteomics analysis, Python usage in biological data analysis, or other topics of interest
  • Work closely with Harvard faculty, postdocs, and students to advise on the analysis of proteomics data and other biological ‘big data’

Basic Qualifications

  • Masters degree or higher in bioinformatics or cheminformatics, computer science, proteomics, chemical proteomics, or a related field, with at least 5 years hands-on experience with bioinformatics or cheminformatics
  • Proficient in Unix and R, with expertise in at least one programming language commonly used in bioinformatics (such as Python or C/C++)

Job Code RS0458 Bioinformaticist III

For details click here

Computational Biologist (Research Scientist)

The Baliga Lab is seeking an outstanding Computational Biologist to join a leading edge effort to a unique opportunity for a computational biologist to work with a cross-disciplinary team of experimentalists, clinicians, and computational biologists to develop multiscale gene regulatory network models of cancers towards enabling personalized and precision medicine. Candidates will be considered at postdoctoral, research scientist, or senior scientist level, depending on their prior experience. The strategy, which builds on extensive prior work in the Baliga Lab, on a powerful integrative framework called SYGNAL – SYstems Genetics Network AnaLysis – that can decipher directly from cross-sectional, multi-omic patient data the gene network(s) that have become dysfunctional within an individual patient. The position offers an extraordinary team-based science environment with opportunities for significant growth, training and career advancements.

Job responsibilities will include:
Working on computational analysis of large multi-omics datasets and mathematical modeling of complex biological systems. Participating in collaborative projects with other leading academic research and industry collaborators on computational analysis of high-dimensional, cell and molecular profiling data to advance patient-focused precision medicine efforts. Expertise in predictive pattern recognition applied to molecular profiling data and mathematical modeling of biological and disease processes, and demonstrable ability to interpret the output of such analyses in the clinical context, are prerequisite. Perform analyses in a transparent manner and to clearly communicate analysis results and methods with collaborating researchers who may or not have computational backgrounds.

Ph.D. in bioinformatics, biology, engineering, physics, computer science, mathematics, or a related scientific discipline (required). Expertise in predictive pattern recognition applied to molecular profiling data and mathematical modeling of biological and disease processes, and demonstrable ability to interpret the output of such analyses in the clinical context, are prerequisite. Expertise in analysis, interpretation and applied computational research on large multivariate molecular profiling datasets. Experience with mathematical modeling of dynamical biological systems at the level of gene regulation. Experience analyzing large-scale human scale molecular profile datasets (e.g., TCGA).

For details click here

Posted on June  24, 2019

Postdoc in Computational Biology

The Department of Computational Biology for Infection Research at the Helmholtz Centre for Infection Research (HZI) is looking for a highly motivated Postdoc in Computational Biology (f, m, d) The Department of Computational Biology for Infection Research at the HZI, led by Prof Dr Alice C. McHardy, is looking for excellent postdocs in computational biology or bioinformatics.

The goal of our projects is the development of algorithms and computer-aided methods to analyze (meta)-omics data of the human microbiome, viral and bacterial pathogens, and human cell lineages within individual patients, to further personalize medicine in infection research. The methods that we employ or develop in our research are related to the fields of machine learning, phylogenetics and population genetics-.

The candidate should have a PhD degree in bioinformatics, computational biology, machine learning, biomathematics, computer science, statistics or similar and a competitive publication record. A commitment to reproducible research, the ability to work in a highly interdisciplinary research field and very good programming skills are obligatory. Prior experience in meta’omics, infection research, statistical learning or with the analysis of NGS data sets is advantageous, but not required.

Closing date: 14.07.2019

For details click here

Two Postdoctoral fellowships (2 years) in bioinformatics, focused on metagenomics

The Department of Ecology and Environmental Science (Umeå University, Sweden) invites applicants for two postdoctoral fellowships to a project focused on analyzing time series of shotgun metagenomics data aiming at producing forecasts of fungal pathogens of conifer trees that will be used by the industry to reduce the impact of this emerging threat. Application deadline is September 1st, 2019.

We are in this project (a collaboration between Umeå University, Swedish Defence Research Agency (FOI) and Swedish University of Agricultural Sciences (SLU)) using a unique archive of air filters that represents an unbroken 50-year line of samples collected weekly in northern Sweden. These filters were set-up and are used by FOI to monitor radioactive fallout. We have extracted high quality DNA from these filters and through DNA sequencing we can identify the organisms and cell fragments that are captured in the filter.

The candidates should have a PhD degree in bioinformatics, genetics, ecology, or a related field. We seek highly motivated candidates with a broad experience in genomics and NGS data analysis. To be eligible for this fellowship, you should have completed your doctoral degree a maximum three (3) years before the end of the application period. Good ability to co-operate as well as to work independently and take initiative are required. Good skills in written and spoken English are required.

Your complete application, marked with reference number Dnr: FS 2.1.6-1235-19, should be sent in a PDF-document to (state the reference number as subject) on September 1st, 2019 at the latest.

For more information, contact Dr. Per Stenberg ( Click here

Posted on June  21, 2019

Postdoctoral Fellow - Computational and Statistical Cancer Genomics

The Laboratory of Pathology (LP), within the Center for Cancer Research, National Cancer Institute (NCI), is looking for a postdoctoral researcher to work on cancer genomics and epigenomics project. We study a variety of cancer types with focus on primary human brain gliomas (for our published work, please see The overarching goal of the lab is to use computational skills to interpret biological patterns from large scale multi-omic data with ultimate goal to diagnose and subclassify human cancer accordingly to biological data.

The successful applicant will be involved in development of new statistical and genetic methods, theory and computational tools and machine learning strategies for analysis and integration of genomic and epigenomic data with pathologic evaluation of human cancer. Access to extensive core facilities including cores in bioinformatics, microarrays, cytogenomics, sequencing and pathological image depositories provides exciting opportunities for development of machine learning and deep learning computational approaches. Career development opportunities are extensive and aimed to provide the opportunity to interact with leading experts in a range of disciplines and biomedical science, and to develop candidates into well rounded, independent investigators ready for future advancement.

The successful candidate will have a strong quantitative research background with a PhD in areas such as Statistical Genetics, Statistical Methods, Machine Learning, Deep Learning or Computer Science; practical experience working with large real-world genetic data sets, developing new methods, statistical computing, and producing high-quality published work. We expect the candidate to be motivated, creative, communicative and happy to work in a collaborative and inter-disciplinary environment.

For details click here

Post Doctoral Fellow- Social and Genomic Epidemiology

The Department of Epidemiology, Rollins School of Public Health (RSPH), Emory University is seeking a post-doctoral fellow in Social and Genomic Epidemiology. The fellow will have the opportunity to work on several collaborative studies of psychological, behavioral, social and genomic factors as they contribute to racial/ethnic health disparities.

Helps design and conduct research within a specified field while receiving advanced training from a designated Principal Investigator to enhance professional skills and research independence needed for pursuit of a career. The specific area of research in which the trainee is mentored is determined by the department and laboratory of the Postdoc. Designs and evaluates experiments. Develops new ideas that promote current research. Prepares and publishes scientific manuscripts under the direction of the Principal Investigator. May be responsible for operation of specific equipment. May teach techniques to others, train, and supervise research staff. Positions are temporary appointments as a research trainee. The initial appointment is for one year, renewal expected if progress is satisfactory and funds are available. Appointments cannot exceed five years.

Preferred Qualifications

  • PhD in Epidemiology, Biostatistics or other relevant quantitative field
  • Demonstrated experience in epigenetics or analysis of genomic data
  • Expertise in data management and analyses using R
  • Excellent interpersonal skills with the ability to foster a good working relationship with others on the team and collaborator
  • Demonstrated experience in developing manuscripts for publication

Job Number 38461

For details click here

Posted on June  19, 2019

Research Fellowship Position Call: Bioinformatics/ Computational biology Technician position

The Population and Conservation Genetics group - PCG at the Instituto Gulbenkian de Ciência) is looking for a "computational biology technician". We are looking for a smart, open and independent person (with a Masters degree) who is interested in using genomic data to infer the demographic history of species. The candidate's background could be pretty much anything as long as s/he can count and think: biology, physics, maths, computer science, engineering, geography, you-name-it. Some scripting or programming are of course a big plus!

This 12 + 12 months recruitment is part of the FCT funded DISPO project (Demographic Inference in Structured Populations). One post-doc has been recruited and we strongly collaborate with mathematicians and biologists in Toulouse.

Applications only are open until 5th July 2019.

More details on the position and how to apply here:

Bioinformatics Scientist

Job ID: 33972
Location: Vancouver - Hospital Site
Employment Group: Management&Professional (AAPS)
Job Category: Statistical Analysis
Classification Title: Statistical Analysis, Level A
Business Title: Bioinformatics Scientist
VP/Faculty: Faculty of Medicine
Department: Pathology
Salary Range: $61,840.00 (minimum) - $74,238.00 (midpoint) - $89,085.00 (maximum)
Full/Part Time: Full-Time
Desired Start Date: 2019/06/27
Job End Date: 2020/06/26 Possibility of Extension: Yes
Funding Type: Grant Funded

Closing Date: 2019/06/23 Available Openings: 1

Job Summary
A position with the Department of Pathology and Laboratory Medicine of the University of British Columbiais open immediately for a bioinformatics scientist to work with our interdisciplinary team of researchers andsoftware developers within the Department of Molecular Oncology at BC Cancer Research, part of theProvincial Health Services Authority. We are seeking a creative, experienced, and dedicated individual toplay a key role in the bioinformatics analysis of computational genomic research data.

The bioinformatics scientist will work closely with researchers in the department to further our research,ranging from long-term publication investigations to ad hoc one-off analysis and scripting. With high-levelinstructions, you will be finding and developing bioinformatics solutions for computational genomicsproblems. When appropriate, your solutions will be deployed in full production processes, and you will work closely with researchers and software developers to ensure the successful deployment of workflows,pipelines and analyses.

You will be on-site in the Department of Molecular Oncology at BC Cancer, working closely with softwaredevelopers, students and researchers operating at the leading edge of the field of cancer genomics. Ourdepartment has recently made meaningful advances in understanding of tumour evolution and thesoftware platforms developed in the lab will be used by world-leading scientists at BC Cancer andinternational collaborators to gain insight into how cancers initiate, develop and acquire resistance totreatment.

Organizational Status

We are a small team of software developers and scientists embedded within a larger cancer researchlab. You will be working students and researchers to tackle genomics problems, along with developersand bioinformaticians to develop high-throughput and automated analysis solutions. You will be reportingto the principle investigator or designate.

Work Performed

Perform simple to complex bioinformatics analysis and requests independentlyResearch and implement bioinformatics solution as requestedCollaborate with developers to develop, test and automate bioinformatics solutionsCollaborate with developers to distribute and maintain software packagesHandle bioinformatics data retrieval, processing and dissemination requestsAssist researchers in computational, statistical and visualization tasks for publication

Qualifications Post-graduate degree in Statistics. Minimum of two years experience in research analysis or the equivalent combination of education and experience.

How to Apply: Please apply through the original job application - Include a resume and cover letter. Link

Data Manager

Job ID: 33966
Location: Vancouver - Point Grey Campus
Employment Group: Management&Professional (AAPS)
Job Category: Information Systems & Tech
Classification Title: Info.Sytems&Technlgy, Level A
Business Title: Data Manager
VP/Faculty: Faculty of Medicine
Department: Pathology
Salary Range: $53,019.00 (minimum) - $63,647.00 (midpoint) - $76,374.00 (maximum)
Full/Part Time: Full-Time
Desired Start Date: 2019/06/28
Job End Date: 2020/06/27 Possibility of Extension: Yes
Funding Type: Grant Funded

Closing Date: 2019/06/27 Available Openings: 1

Qualifications Undergraduate degree in a relevant discipline. Minimum of one year experience or the equivalent combination of education and experience.

How to Apply: Please apply through the original job application - Include a resume and cover letter. Link

Software Developer

Job ID: 34063
Location: Vancouver - Hospital Site
Employment Group: Management&Professional (AAPS)
Job Category: Information Systems & Tech
Classification Title: Info.Sytems&Technlgy, Level B
Business Title: Software Developer
VP/Faculty: Faculty of Medicine
Department: Pathology
Salary Range: $61,840.00 (minimum) - $74,238.00 (midpoint) - $89,085.00 (maximum)
Full/Part Time: Full-Time
Desired Start Date: 2019/07/02
Job End Date: 2020/07/02 Possibility of Extension: Yes
Funding Type: Grant Funded

Closing Date: 2019/06/27

Qualifications Undergraduate degree in a relevant discipline. Minimum of two years experience or the equivalent combination of education and experience.

How to Apply: Please apply through the original job application - Include a resume and cover letter. Link

For details click here

Posted on June  17, 2019

Postdoc in Genomics Discovery and Epidemiology

The University of Copenhagen is seeking a highly motivated and talented postdoctoral fellow to commence 1 October 2019 or as soon as possible thereafter at the Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences. The fellowship is aimed at early career researchers with a basic science background or clinicians who aspire to a career in academic medicine. We are particularly interested in candidates who are familiar with integrative research approaches within the broad area of basic metabolic research with an application towards human pathophysiology.


We are looking for a highly motivated and enthusiastic scientist with the following competencies and qualifications:

  • Experience in statistical programming (e.g. R, SAS)
  • Expertise in applying statistical analyses to test biological hypotheses
  • Experience in epidemiological research
  • Strong interest in research on obesity and metabolic disorders
  • Proven track record showing continuous scientific productivity in peer-reviewed journals
  • Interest in co-supervising PhD fellows and MSc students
  • Excellent English communication skills, both written and oral


The applicant must hold a PhD within a relevant discipline such as medicine, biology, biochemistry, molecular biology, bioinformatics, pharmacy or medical engineering. The PhD degree must preferably be awarded from a university outside of Denmark. The program is also open for applicants with a Danish PhD degree who can document at least 12 months full-time research experience from outside Denmark.

The application deadline is 7 July 2019 at 23.59pm CET.

For details click here


The Kobor Lab is seeking a highly motivated and ambitious individual to work as a bioinformatician/data analyst on various projects related to understanding the causes and consequences of variation in epigenetic marks across human populations. The successful applicant will be responsible for leading and contributing to a number of existing funded projects. These include population cohort studies that focus on the genomic embedding of early-life experiences in relationship to development and health across the lifespan. This work involves the acquisition of high-dimension datasets for genotyping, DNA methylation and mRNA expression and their integrative analysis with phenotype and environmental exposures.


Undergraduate degree in a relevant discipline. Minimum of an undergraduate degree in a relevant discipline (genetics, computational biology, bioinformatics, bio-statistics) Minimum of two years experience or the equivalent combination of education and experience. Minimum of two years of experience in laboratory research involving genome technologies infrastructure, with knowledge of molecular biology, biochemistry, genetics, and epigenetics. Experience with the operation and maintenance of major bioinformatics data analysis applications and proficiency in a programming language and scientific data processing (e.g. R, R-studio or Python) are required.

Job ID: 34154

Desired Start Date: 2019/07/08

For details click here

Posted on June  14, 2019


The Rubin Lab at Harvard University’s Department of Stem Cell and Regenerative Biology and the Kohane Lab in the Department of Biomedical informatics at Harvard Medical School are looking for an enthusiastic bioinformatician to participate in collaborative research efforts primarily focused on neurodegenerative diseases, especially those associated with aging. Our collaborative research programs integrate medical informatics, genomics, and cellular models including induced pluripotent cells and their derivatives, to identify druggable pathways that underlie diseases of the nervous system. The candidate will work closely with other lab members (scientists, postdoctoral fellows, and research assistants) to evaluate high dimensional data (genetics, genomics, and transcriptomics. This position provides an exceptional opportunity for advancement in a dynamic, research-rich and therapeutically-oriented environment, including extensive collaborations with industry.

Specific responsibilities include:  

  • Writing code to execute large genetic studies and sequence-based analysis. Use data sets to specify disease subtypes.
  • Analyzing single-cell RNAseq datasets, identify genes/pathways driving physiological processes.
  • Processing raw genetics data for integration into studies using Electronic Health Record data for performing genome wide association studies (GWAS).
  • Evaluating or developing statistical methods to use high dimensional data for hypothesis generation and drug discovery. This includes mining existing transcriptomic data (e.g. CMap, LINCS) to identify drugs that might mitigate a cellular or biological signature at the transcriptomic level.

Basic Qualifications

  • M.S. in statistical genetics, genetic epidemiology, computational biology or related fields such as quantitative genomics, applied mathematics, statistics, physics or population genetics/genomics, with demonstrated experience analyzing high dimensional data.
  • 5+ years of related post-graduate experience in areas of bioinformatics
  • Must have R programming skills and familiarity with a Linux/UNIX environment, experience with C/C++/Python will be helpful.

Additional Qualifications

  • PhD preferred (in statistical genetics, genetic epidemiology, computational biology or related field such as quantitative genomics, applied mathematics, statistics, physics or population genetics/genomics)
  • Management and analysis of large genetic studies and sequence-based analysis.
  • Proficiency in running simulations, mixed models and advanced statistical inferences.

Faculty of Arts and Sciences 49469BR

Job Code RS0458 Bioinformaticist III

For details click here

Bioinformatics Scientist

One staff scientist position is available in October of 2019 in the Laboratory of Genome Integrity (Center for Cancer Research, National Cancer Institute, National Institutes of Health) to use computational methods in the study of mechanisms involved in DNA double-strand break repair and the roles of repair and replication proteins in a variety of cancers that include leukemias and breast cancers, using mouse models. The ideal candidate will play a leading role in providing computational and biological insight by analyzing large data sets derived from genomics, epigenetics and proteomics experiments. The position will emphasize efforts to understand gene regulation, chromatin, regulatory and coding variation and its relation to cancer.

The candidate will have a strong computational as well as a strong biological background, an interdisciplinary background in bioinformatics & computational biology, advanced expertise in the analysis and interpretation of sequencing data generated in-house and its integration with other “omics” data sources such as ENCODE and TCGA. Laboratory bench experience, while not essential, will be considered an advantage.


  • A Ph.D. in computational biology, bioinformatics, mathematics, or related field  with no more than 5 years of postdoc experience;
  • Research fellows in the NCI are encouraged to apply;
  • Ability to program in Python/Perl and R/Matlab in Unix environment are required;
  • Knowledge of SQL will be considered a plus;
  • Demonstrated applied bioinformatics/computational proficiency as evidenced by relevant publications in peer-reviewed journals.

To Apply:

CV and 3 letters of reference can be emailed directly to Sam John, Salary is commensurate with experience. This position is subject to a background investigation.

For details click here

Posted on June  12, 2019

Postdoctoral position in machine learning and comparative regulatory genomics

A postdoctoral position is available in the lab of Dr. Sushmita Roy at the Wisconsin Institute for Discovery University of Wisconsin, Madison. This position is sought as part of a newly funded grant to develop novel computational methods to compare one-dimensional and three-dimensional regulatory signals across mammalian genomes.

Our lab develops and applies computational methods, based on statistical machine learning, to identify regulatory networks, how they change across developmental and/or evolutionary time scales, and construct predictive models of global phenotypes. Our methods integrate regulatory genomics datasets from diverse species to infer and analyze these networks. We collaborate with several experimental labs addressing diverse biological and biomedical questions ranging from understanding cellular reprogramming to deciphering the human brain development and disease.

Requirements: PhD in computer science, statistics, bioinformatics, or computational biology, with a strong interest in graph theory and biological network analysis. Ability to develop, implement and apply statistical machine learning algorithms for analysis of genomic datasets.

How to apply: Please send (1) CV with publications, (2) statement of current and future research interests, (3) career goals, (4) contact information of two references to

For details click here

Scientific Programmer / Bioinformatician

We are seeking a highly motivated scientific programmer and data manager to join the new Zimmermann research group in the Structural and Computational Biology unit. The Zimmermann group combines high-throughput mass spectrometry, bacterial genetics, multi-omics analyses and computational models to investigate the interactions within microbial communities and between microbes and their environment.

Your role would be to develop analysis pipelines, infrastructure and data management systems within the group and externally. It includes the development and maintenance of bioinformatics software for different research projects, adaptation of existing code and pipelines, and providing programming and statistics support to the group. The position involves large scale data handling from mass-spectrometry and sequencing experiments (metabolomics, NGS). The duties range from generic bioinformatics and IT support to development of own independent research projects.

You have

  • a Ph.D. degree in bioinformatics, computational biology, statistics, or related subjects
  • substantial experience in software development and/or scientific computing
  • experience with large-scale data analysis and management
  • experience with the Linux/Unix shell
  • advanced skills in a high level programming language (>2 years of experience)
  • ability to work independently and in a team, and at the interface between life sciences and informatics
  • willingness to learn new skills and programming languages as projects require
  • good communication, interpersonal and English language skills

Closing Date: 23 June 2019

Reference Number: HD01541

For details click here

Posted on June  10, 2019

Research Assistant (Bioinformatics)

Applications are invited for a bioinformatician to join the group of Professor Bertie Göttgens at the University of Cambridge, Department of Haematology on the Cambridge Biomedical Campus. The Göttgens group employs both experimental and computational approaches to study how transcription factor networks control blood stem cell function and differentiation. The postholder will focus on applying computational methods to analyse scRNA-seq datasets produced by other members of the group.

Applicants will hold an undergraduate degree in bioinformatics or a related discipline. They must have demonstrable proficiency in Python, Pymol, SQL, R and Chimera. Experience of using LaTex, Bash and C++ and knowledge of statistics is also highly desirable. They should have experience of working with scRNA-seq datasets and have knowledge of stem cell biology. Laboratory experience, including qPCR, immunofluorescence, flow cytometry and cell culture is also desirable.

The closing date is 14 June 2019, with interviews expected to take place the week commencing 17 June 2019.

For details click here

Sr.Bioinformatics Scientist

At Boston Children's Hospital, success is measured in patients treated, parents comforted, and teams taught. It's in discoveries made, processes perfected, and technology advanced. In major medical breakthroughs and small acts of kindness and in colleagues who have your back and patients who have your heart. As a teaching hospital of Harvard Medical School, our reach is global, and our impact is profound. Join our acclaimed research computing group and discover how your talents can change lives. Yours included.

This Sr. Bioinformatics Scientist will be responsible for:

  • Providing direct bioinformatics support to faculty, doctors, researchers, and students.
  • Matching the diverse portfolio of biomedical projects with bioinformatics resources.
  • Guiding researchers with the use of bioinformatics software and workflows.
  • Developing and promoting the use of bioinformatics tools, workflows, pipelines and computing resources.
  • Working directly with members of our research community, the scientist will develop custom bioinformatics workflows, contribute to an internal knowledge base, organize training sessions, and further the development of research computing support for bioinformatics.

To qualify, you must have:

  • Master’s degree or higher in Bioinformatics, or a closely related field, and at least four years’ experience in a research environment or Ph.D. in science, bioinformatics, computational biology, genomics, computer science or related, with 2+ years of work experience post-PhD; or similar.
  • Knowledge and experience in the use of open source bioinformatics software and pipelines to support diverse bioinformatics analyses.
  • Proficiency with Python and R required; experience with deep learning, statistics, SQL and/or cloud computing would be a bonus.
  • Combination of patience, determination, and persistence to troubleshoot technical issues.
  • Excellent written and verbal communication skills.
  • A positive attitude and ability to develop productive relationships with pediatric researchers.
  • Passion for new technologies and science.

For details click here

Posted on June  07, 2019

Bioinformatics Scientist

Are you passionate about solving tough challenges? How would you like to use your analytical skills to find creative solutions for consumer's everyday problems? If this sounds like fun, we would love to hire someone with your skills and abilities to join our team to work on new technology approaches to address unmet consumer needs and/or resolve technical tensions.

We are looking for a scientist for technical work to join the bioinformatics team in analyzing and interpreting large-scale high-throughput datasets (e.g., metagenomics, metatranscriptomics, gene chip expression profiling, whole genome sequences, proteomics, metabonomics). You would work directly with project biologists and statisticians in both Global BioSciences and supporting GBUs to 1) design biological experiments, 2) develop and execute data analysis strategies, and 3) interpret the data to meet specific business goals.

This position is focused upon data analysis and interpretation (rather than generating of experimental data), you will have a demonstrated passion for data mining and identification of novel insights. Demonstrated skills in applying/developing/improving machines learning and AI algorithms for large scale biological dataset is a plus. Domain knowledge in microbial ecology and metabolomics, a solid understanding of the modern concepts and procedures of molecular/cellular biology/ microbiology. You should have demonstrated a successful track record in conducting original research in the above fields. You should also demonstrate a clear ability to convert this technical mastery to business solutions. Ability to apply bioinformatics, machine learning, and data mining techniques to generate novel hypotheses and provide analysis that better meet the needs and expectations of our cross-sector projects. You should have the ability to go beyond accepted ideas to generate better ways to get results.

For details click here

Postdoctoral Researcher in transcriptomics of neurodegenerative disorders (scholarship)

The Department of Medical Biochemistry and Biophysics (MBB) conducts research in basic science, particularly focusing on discovering the mechanisms that cause diseases. The candidate will be incorporated into the division of Molecular Neurobiology.  Research group and project A postdoctoral position is available in the recent established lab of Ana Muñoz-Manchado at Karolinska Institutet, one of the world’s leading biomedical research institutes. Our interest in the lab is focused in the investigation of the striatal neuronal diversity and how cell specific gene regulatory networks are affected by neurodegenerative processes in Parkinson’s disease, and how the neuron’s circuit functionality is changed using both mouse models and patient material.

The person will work with modeling parkinsonism in mice and analysis of human patient material in order to study the striatal transcriptomic changes using RNA single cell sequencing, and assessing the impact on the neural circuitry. To apply for the position, the applicant should have obtained a PhD no more than five years before the position starts in the neuroscience field. The successful applicant is experienced in molecular biology and animal experimentation. Experience in bioinformatics and single cell data analysis (R-studio, matlab…) is meriting. The applicant is expected to be a highly motivated scientist, enthusiastic person, with high degree of independence, and be able to integrate in a team and collaborative environment. Possibility of attracting own funding will be also a plus. Fluency in English is a requirement (written and oral).

Last application date 31.Jul.2019 11:59 PM CET

For details click here

Posted on June  05, 2019

Postdoctoral Scholar in Population Genomics

A postdoctoral position is available in the López-Uribe lab at The Pennsylvania State University to work on population genomics and demographic modeling of insect populations (crop pollinators and pests). We are currently working on a project that aims to disentangle the role of demographic and adaptive process in the patterns of distribution of genetic diversity and differentiation of populations. Qualified candidates are required to have a Ph.D. in ecology, evolutionary biology, entomology, or related field of study and be able to provide evidence that all requirements have been met for completion of the Ph.D. prior to the effective date of hire.

Candidates are encouraged to apply if they are interested in developing new directions within the lines of research mentioned above. The successful applicant will coordinate bioinformatic analyses, laboratory work and field work. Expertise in genome assembly, landscape genetics, and familiarity with insect biology are desirable skills. In addition, excellent oral and written communication skills are required, as is a strong publication record. It is expected that the appointee will be involved in grant writing, mentoring of graduate and undergraduate students, and outreach/extension activities. Penn State is home to a vibrant research community, with strengths in applied ecology, genomics, chemical ecology, molecular biology, host-pathogen interactions, and evolutionary biology. Opportunities exist both to learn a range of cutting edge experimental and analytical laboratory methods, and to develop field-oriented projects.

We are home to the Center for Pollinator Research with more than 25 faculty (and their associated students) working on research, education, outreach and extension related to pollinator biology, health, evolution, ecology, and thus it is an excellent environment for generating new research ideas and collaborations. Interested applicants should submit: a brief statement (approximately 1 page) describing previous research experience and their interests in working in the lab; a CV including contact information for at least three references willing to provide letters of recommendation; and a representative paper or manuscript.

Job Number: 88217

For details click here

Postdoctoral position in Computational Biology

The University of Lausanne is a research and higher education institution composed of seven faculties, here approximately 15,000 students and nearly 5,000 professors, researchers and staff work and study. Ideally situated along the lake of Geneva, near Lausanne city center, its campus brings together over 120 nationalities.

The Groups of Profs Christophe Dessimoz and Robert Waterhouse are seeking candidates for two Postdoctoral (Premier Assistant) positions at the Departments of Computational Biology and Ecology & Evolution, University of Lausanne, Switzerland. Working at the interface between biology and computer science, the Dessimoz Lab ( seeks to better understand evolutionary and functional relationships between genes, genomes, and species. The Waterhouse Group ( is focused on elucidating interactions between gene evolution and gene function through computational interrogation of arthropod genomics data. Both Groups are members of the SIB Swiss Institute of Bioinformatics.

The two Postdocs will lead the evolutionary genomics contributions to a groundbreaking interdisciplinary project in collaboration with the Group of Prof. Bruno Lemaitre ( at the neighbouring École Polytechnique Fédérale de Lausanne. The overall project aims to develop the computational tools required to fully exploit new genomics data in a framework that also takes advantage of the latest molecular biology tools to achieve combined evolutionary and functional characterisation of the Drosophila immune secretome.

We are seeking to recruit candidates with a PhD degree in biology, with solid computational and quantitative skills, and prior experience publishing papers in peer-reviewed journals. We seek candidates with demonstrated programming skills in the areas of bioinformatics, computational biology, and comparative genomics. Experience with evolutionary and comparative genomics analyses would be an advantage, and further desirable attributes include knowledge of and interest in orthology delineation, gene family evolution, phylogenetics, gene birth/death, genome-wide synteny, selection and constraint, gene prediction, genome annotation, immunity, infection, insects. The applicants should have a strong ability to work in a team as PhD students are also involved in this project.

Deadline to apply: 30 June 2019

For details click here

Posted on June  03, 2019

Postdoctoral Fellowship in Cancer Single Cell -Omics

The University Health Network, where “above all else the needs of patients come first”, encompasses Toronto Rehabilitation Institute, Toronto General Hospital, Toronto Western Hospital, Princess Margaret Cancer Centre and the Michener Institute of Education at UHN. The breadth of research, the complexity of the cases treated, and the magnitude of its educational enterprise has made UHN a national and international resource for patient care, research and education. With a long tradition of groundbreaking firsts and a purpose of “Transforming lives and communities through excellence in care, discovery and learning”, the University Health Network (UHN), Canada’s largest research teaching hospital, brings together over 16,000 employees, more than 1,200 physicians, 8,000+ students, and many volunteers. UHN is a caring, creative place where amazing people are amazing the world.

A postdoctoral fellowship is available in the laboratory of Dr. Trevor Pugh, PhD, FACMG at the Princess Margaret Cancer Center in Toronto, Canada ( ) . Located in the MaRS Centre in the heart of the downtown Discovery District, which is one of the fastest growing machine learning and big data analysis hubs in the world.


• A PhD degree in computational biology, bioinformatics, computer science, engineering, mathematics, or related disciplines is required
• Working knowledge of Unix/Linux and strong programming skills (R/Python)
• Practical experience with developing and applying statistics and/or machine learning algorithms
• Multi-CPU and cloud programming experience are strong assets
• Previous experience in bioinformatics is advantageous (high-throughput datasets, scalable graph analysis)
• Experience analyzing scRNA-seq or gene expression data is beneficial
• Good communication skills and the ability to work with an interdisciplinary team are essential

POSTED DATE: May 23, 2019 CLOSING DATE: Until filled

For details click here

Postdoc Fellow - Combinations and Resistance in Oncology

AstraZeneca is a global, innovation-driven biopharmaceutical business that focuses on the discovery, development and commercialisation of prescription medicines for some of the world’s most serious diseases. We're proud to have a unique workplace culture that inspires innovation and collaboration. We believe in the potential of our people and you’ll develop beyond what you thought possible. The new R&D Oncology organisation brings together early and late oncology teams, from discovery through to late-stage development, with oncology specific Regulatory and Biometrics groups.

This project will use novel genetic mutagenesis techniques combined with in vitro and patient derived models to explore the interplay between mutation status, single agent resistance and resistance to combinations. You’ll work with a broad team of internal and external scientists and be exposed to a wide variety of preclinical oncology model systems. There will also be ample opportunity for presentation of the work internally and at external meetings, as well as for publication in high-visibility journals.

Education and Experience required;


  • PhD in a relevant discipline (e.g. biology, pharmacology, bioinformatics, bioengineering)
  • Strong lab-skills, including oncology in vitro culture and molecular biology techniques
  • Scientific leadership as evidenced by prior publication record
  • Strong analytical and quantitative capabilities
  • Candidate needs to be curious, driven, and team-player


  • Experience with patient derived tumour models
  • Experience with genome-wide screening techniques (e.g. CRISPR, mutagenesis, barcoding)
  • Experience evaluating mechanisms of oncology drug resistance

Closing Date 09-Sep-2019

For details click here

Posted on May  31, 2019

Postdoctoral Fellow  in Bioinformatics

We are seeking a post-doctoral research fellow to join the Aparicio Lab, at the BC Cancer Research Center in Vancouver, British Columbia. Posting is available immediately for a postdoctoral fellow with experience in cancer bioinformatics to work on an exciting new program developing non-invasive patient genomic monitoring.

The successful candidate will have a degree and postgraduate training in bioinformatics, computer science, statistics, or allied subjects, with experience applying modern computational genome analysis methods. The post holder will work jointly with the groups of Dr. Samuel Aparicio (UBC and BC Cancer) & Dr. Andrew Roth (UBC Computer Science and BC Cancer) on developing and implementing methods for analysis of genomic sequencing information from plasma and other fluids to monitor tumour burden and provide information for screening of high risk patients. This will be in conjunction with existing work on single cell genome analysis pioneered by the Aparicio and Shah labs in the last 5 years.

To apply: Please send cover letter, resume, transcript and work sample to Please put “Post-doctoral Fellow – Aparicio Lab” and your family name in the subject line.

Postdoctoral Research Associate in Computational biology

The Geeleher Lab is seeking outstanding candidates for a fully supported postdoctoral fellowship focused on developing innovative computational and statistical approaches to inform and improve therapies for pediatric cancer and other diseases. This is a forecasted position available for hire on July 1, 2019. One of the premier pediatric research institutions in the world, St. Jude Children’s Research Hospital provides exceptional resources and a supportive environment for career development. As a postdoctoral fellow, you will interact with leaders in cancer and translational research within and outside the institution and at national/international meetings. Innovative research will be supported by the lab’s infrastructure, which includes a wet-lab component. Postdocs have considerable flexibility and freedom to develop their research programs.

The lab of Dr. Paul Geeleher is in the Department of Computational Biology at St. Jude Children’s Research Hospital. Dr. Geeleher is recognized for developing innovative computational approaches and has led drug repurposing efforts, spearheaded publications in Nature, Genome Research, Genome Biology, Journal of the National Cancer Institute (JNCI) and Bioinformatics in the last five years, and is funded by the NIH. Postdoctoral fellows in the lab will benefit from access to the wealth of high-quality genomics data generated at St. Jude, state-of-art high-performance computing facilities, robust analytical pipelines, the latest laboratory technology, outstanding core facilities and scientific expertise in genomics, cancer biology, statistics, and computer science.

Minimum Education Candidates must hold a doctoral degree (Ph.D., M.D. or equivalent). Applicants with a Ph.D. in a quantitative field (computational biology, genetics/genomics, statistics, mathematics, computer science & related fields) are encouraged to apply. Strong candidates from a primarily wet-lab or clinical background who wish to develop sophisticated quantitative skills will also be considered. Successful candidates will have a track record of scientific productivity, e.g. a first author paper, or a demonstrable contribution to a large project. Experience working in pediatric cancer is an advantage but not necessary. Fluency in English and the ability to think and work independently are essential.

Interested candidates, please complete the online application and email your CV and cover letter to Please include areas of specific interest in a brief cover letter.

For details click here

Data Scientist for Proteomics and Metabolomics Facility

CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences is an international top research institute. We successfully pursue ambitious research projects including large-scale proteomics and metabolomics characterization of biomedical samples, i.e. relevant in cancer or rare disease related medical research. Currently, we are looking for a highly motivated Data Scientist for our Proteomics and Metabolomics Facility (Pro- Met-) with experience in computational house-keeping tasks as well as small to large-scale analysis of mass spectrometry-based omics data. The focus of the position is within the framework of the Pro-Met Facility’s mission to provide ‘state-of-the-art’ mass spectrometry-based analytical technology and services.

The goal of the position is to implement and maintain databases as well as automated scripts for data processing pipelines, develop bioinformatics tools and pipelines for proteomics and metabolomics applications and provide advice on experimental design and potential statistical analysis approaches. In this position, you will have the opportunity to work in an innovative research environment and closely collaborate with different research groups at CeMM. With your profound computational knowledge, your proactive workstyle and your communicational talent you will be an important support partner for our research teams.

Your profile:

  • Degree (Master or PhD) in either Computer Science, Bioinformatics or Life Sciences
  • Experience in bioinformatics, ideally for mass spectrometry based omics applications, as well as data integration and statistical analysis.
  • Expertise in programing such as R, Python
  • Familiarity with Perl, Java, and databases is considered a plus
  • Familiarity with Linux environment
  • Experience with commercial software solutions like Proteome Discoverer, Compound Discoverer, TraceFinder, Spectronaut, MassHunter, MassyLynx, as well as open source software solutions like Skyline, Saint, Open MS, XCMS Online, etc. is of advantage

Eintrittsdatum 01.08.2019

For details click here