Jobs

Jobs in Bioinformatics, Genomics and Life Science


Update on May 29, 2024


Postdoctoral Fellow in Genomics

Job no: 524816
Work type: full time
Location: Sydney, NSW
Categories: Post Doctoral Research Associate

The Ramaciotti Centre for Genomics is a national infrastructure facility and a leader in the application and development of genomics in Australia. It is the largest genomics facility at any Australian University and is comprehensively equipped with the latest next-generation sequencing (NGS) technology, and with high throughput genotyping systems. The Centre currently analyses over 130,000 samples per annum using a range of techniques, both manually and with robotics.

The role of Postdoctoral Fellow reports to A/Prof Martin Smith and has no direct reports. The incumbent will lead projects involving Oxford Nanopore single molecule and single cell sequencing data for native RNA, genomic DNA, and their biochemically modified bases, with an emphasis towards developing innovative biotechnological and biomedical applications. The ideal candidate will have demonstrated laboratory and bioinformatics experience with a determination to deliver high-impact outcomes.

Specific responsibilities for this role include:

  • Contribute independently or as a team member in collaborative research with a focus to enhance the quality of research outcomes in Genomics & Computational Biology.
  • Conduct research (as per the norms of the discipline) and/or enable research teams to create scholarly output that is recognised by peers.
  • Undertake specific research project/s under the guidance of a research leader and contribute to development of research activities.
  • Support the dissemination of research outcomes through appropriate channels and outlets.
  • Undertake discipline-appropriate research activities, e.g. surveys, literature reviews, data gathering and/or recording of results using appropriate research methods.
  • Participate in and/or present at conferences and/or workshops relevant to the project as required.
  • Assist with the supervision of research students in Genomics & Computational Biology where required.

To be successful in this role you will have:

  • A PhD in Genomics & Computational Biology or a related field and/or relevant work experience.
  • Experience generating, processing and interrogating genomic, transcriptomic and epigenomic data
  • Experience with Oxford Nanopore Technologies.
  • Experience with computer programming, scripting, workflow managers (e.g. NextFlow, SnakeMake, etc), statistical analysis and data visualization.
  • Familiarity with data science and machine learning.

Please apply online - applications will not be accepted if sent to the contact listed.

Contact:
Martin Smith
E: martin.smith@unsw.edu.au
Applications close:  June 18th, 2024

For details click here


Postdoc position- Protein Structural Bioinformatics

The Institute of Molecular Systems Biology at ETH Zurich is inviting applications for a Postdoctoral Fellow in the laboratory of Prof. Pedro Beltrao.

Project background

Proteins are the key effectors of the cell and studying their structure can help understand their function, evolution and facilitate the development of novel therapies. Over the past few years there have been exciting developments in computational methods to predict protein structure from sequence and for the rational design of proteins with specific structural properties.

Job description

Applicants with a background in structural bioinformatics are invited to develop research projects that will contribute to a better understanding of protein structure on a large scale. Areas of interest in the lab include: structural models of whole cell interactions networks and large protein complex assemblies; structural consequences of protein variants; protein binding pocket predictions, pocket similarity metrics and pocket-ligand binding; evolution of protein structures function and interactions in large scale; protein design as modulators of cell function or therapeutic agents.

Your profile

  • Doctoral degree for work in areas related to structural bioinformatics is required
  • Proactive personality, excellent communication skills and capacity to work with a diverse group of people
  • Strong background in working with large numbers of protein structures is required
  • Experience in using and developing deep learning methods is preferred
  • Experience with using protein design approaches is preferred
  • Further, any experience and interest in doing wet lab work is of advantage

We look forward to receiving your online application by 20th July 2024 with the following documents:

  • Cover letter describing your background and motivation
  • CV and publication list
  • Contact information of 2 – 3 potential referees

Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered. For further information about the position and the group please contact Prof. Pedro Beltrao by e-mail: beltrao@imsb.biol.ethz.ch (no applications) or visit our website.


Postdoctoral Scholar, Bioinformatics/Biomedical Data Science

The University of Nevada, Reno (UNR) appreciates your interest in employment at our growing institution. We want your application process to go smoothly and quickly. Final applications must be submitted prior to the close of the recruitment.

If you need assistance or have questions regarding the application process, please contact our recruitment helpline at (775) 784-1495 or jobs@unr.edu. For UNR Med professional job postings, please contact the Office of Professional Recruitment at (775) 784-6778.

Job Description

The Bioinformatics Center at the University of Nevada, Reno is seeking to hire a Postdoctoral Scholar to join our team, available immediately. We are accepting applications from talented and enthusiastic candidates who are interested in joining an integrated and diverse team of scientists to support a broad spectrum of research projects. unr.edu/bioinformatics.

Required Qualifications

  • Ph.D. in bioinformatics, data science, computational sciences, statistics or a related field.

  • 3+ years of Python or R programming experience.
  • Experience in bash/shell scripting and Linux environment (Ubuntu), applied statistics, high-dimensional omics data analytics for at least one type of omics.
  • Excellent writing skills and independent and critical thinking ability.
  • Completion of a doctoral degree in the appropriate discipline is required.
  • The doctoral degree must have been completed within the five years immediately preceding the first date of appointment as a postdoctoral fellow at the University.
  • The individual cannot have held previous positions in the professional ranks.

Preferred Qualification & Skills

  • A strong scientific publication record
  • Strong quantitative/computational biology background
  • Advanced computing skills, e.g., HPC, cloud
  • Familiarity with data mining/data science and working with publicly available databases
  • Experience in teaching academic courses and/or workshops
  • Experience with grant proposals, e.g., NIH, NSF, DOE
  • Collaborative and detailed-oriented

Apply here


Posted on May 20, 2024

Post-doctoral researcher in biostatistics, AI and breast cancer imaging

Introduction

Artificial intelligence (AI) will change the daily work of doctors, make diagnoses more accurate and treatment choices more likely to succeed.

During several years, our group has been collecting large amounts of medical data to perform evaluations of AI systems for breast cancer detection and to inform clinical decisions. We have hundreds of thousands of mammograms, thousands of ultrasound images and MRI exams, linked to clinical outcome data and radiologist image labels. We have collaborations with a number of medical AI companies whose commercial algorithms we can explore, along with academic research models.

Our group

Our goal is to facilitate a safe and optimized introduction of AI methods in mammography and breast cancer care. Our research group is part of the Department of Oncology and Pathology at Karolinska Institutet, and the research leader Fredrik Strand is a breast radiologist at Karolinska University Hospital.

We have internationally well-established research for the development and evaluation of AI for radiological breast cancer diagnosis. Our group has expertise in radiology, biostatistics and machine learning. In addition, we have a strong collaboration with research groups at KTH. Our international collaborations include the University of California San Francisco and Berkeley.

We are now looking for a post-doctoral researcher from the fields of Biostatistics or Bioinformatics or similar field.

Your duties

You will be responsible for adding data to, and extracting data from, our proprietary database focused on breast cancer clinical outcomes and radiology images. You will perform statistical analyses to understand the performance and limitations of various AI algorithms. You are expected to write original research papers, and to produce written test reports to the parties providing the AI algorithms to us. We also encourage you to refine and improve the evaluation methodology we have established. You will be involved in interactions with both commercial and academic counterparts in Sweden and other countries.

Your profile

To be eligible for employment as a postdoctor a doctoral degree or a foreign degree deemed to be equivalent to a doctoral degree is required. This eligibility requirement must be fulfilled at the latest at the time of the employment decision. It is considered as an advantage if you have completed your doctoral degree within the last three years, if there are special reasons, your degree may have been completed earlier.

Qualifications

In your personal letter, please specify what concretely in your history support that you meet, and excel in, each of the qualifications listed below.

You must have:

  • a PhD degree from 2020 or later (including expecting to receive your PhD degree during the next months)
  • a PhD subject area of Biostatistics or Bioinformatics or similar field
  • published at least two original research papers as first author where you conducted the statistical analysis
  • excellent knowledge of biostatistics including evaluating medical diagnostic tests
  • excellent coding skills in R
  • good coding skills in Python
  • excellent communication skills in English
  • history and characteristics of a flexible team player

Reference number STÖD 2-1922/2024

Last application date 27.May.2024 11:59 PM CEST

Apply here


Posted on May 07, 2024

Bioinformatics Senior Analyst

The Department of Human Genetics is the home within the Division of Biological Sciences for the study of basic principles of genetics and genomics as applied to human disease. We provide broad training in experimental genetics and genomics, statistical and population genetics, bioinformatics, and clinical genetics. A common theme throughout our research is the application of basic genetic principles and strategies to the study of disease mechanism, disease susceptibility, and the genetic architecture of complex traits. Our faculty bridge between basic and clinical research and train students for careers in academia, industry, and medicine.

Job Summary

The Genetic Services Laboratory at the University of Chicago is a CLIA and CAP certified and accredited laboratory that performs both clinical and research activities pertaining to the understanding of the molecular basis and diagnosis of rare orphan genetic diseases. The laboratory performs a variety of DNA-based techniques for mutation detection and is involved in the continuous development of new assays for mutation detection in new disease genes, as well as in the development and application of new technologies for the improvement of disease diagnostics.

We are seeking a bioinformatician, to work with our bioinformatics group, to maintain and develop essential lab applications and provide bioinformatics support for next generation sequencing-based clinical testing. This position can be on-site or remote.

Responsibilities

  • Supports and maintains automated analytic pipelines for next generation sequencing data analysis.
  • Maintains and upgrades our in-house NGS data analysis and review system.
  • Documents scripts and updates in a systematic and detailed manner.
  • Maintains accurate records of all activities carried out in conjunction with different projects.
  • Attends lab meetings/exome meetings and reading current journal articles pertaining to relevant projects.
  • Applies basic application of computational tools and information technology to gather, analyze and visualize data in biology and biomedical research.
  • Plans own resources to implement or modify existing web-based bioinformatics tools.
  • Performs other related work as needed.

Minimum Qualifications
Education:

Minimum requirements include a college or university degree in related field.

---
Work Experience:

Minimum requirements include knowledge and skills developed through 2-5 years of work experience in a related job discipline.

Job post: JR26118

Apply here


Posted on April 30, 2024

Postdoctoral Fellow in Bioinformatics

Employer: The University of Texas MD Anderson Cancer Center

Our group studies ecological mechanisms in early lung cancer development and response to immune-based treatment (e.g., Sinjab et al, Cancer Discovery, 2021; Hao et al, Cancer Discovery, 2022; Han et al, Nature, 2024). We seek a talented and highly motivated computational postdoctoral fellow with a strong background in bioinformatics and passion in exploring the heterogeneity and evolution of normal, progenitor, and tumor cells as well as the tumor microenvironment (TME) using state-of-the-art single-cell and spatial profiling approaches. The primary research focus of the candidate postdoc will be to employ innovative bioinformatics approaches to dissect in both human-relevant models of lung cancer as well as unique cohorts of human lung tissues the tumor “ecosystem” and profile in-depth phenotypic and functional heterogeneity, lineage plasticity and evolutionary dynamics of tumor and TME cells as well as cell-cell interactions in order to better understand lung cancer development, progression and therapeutic response. The postdoc candidate will work with close collaborators of the Kadara lab at MD Anderson and other institutions. Please check the following link for more information on the Kadara lab: https://www.mdanderson.org/research/departments-labs-institutes/labs/kadara-laboratory.html

Learning Objectives:

Learn and master skills for in-depth profiling of single-cell sequencing and spatial transcriptomics data. Learn and master skills for integrative analysis of high-dimensional bulk and single-cell multi-omics data.  Gain rich knowledge in cancer biology, cancer genomics and immunogenomics, and cancer-specific bioinformatics. Develop skills in study design, data interpretation, presentation, and manuscript writing. Develop skills in networking, career planning, teaching, grant writing, and other professional development skills that can help the candidate fellow's career trajectory.

Eligibility & Requirements:

Individuals with a PhD degree in computational biology, bioinformatics, data science or a related field are encouraged to apply. A strong computational background, proficiency in R and at least one additional scripting language (e.g., Python) and knowledge in biostatistics are required. Experience working with single-cell sequencing data and high-performance computing environment is highly preferred. A good understanding of cancer biology, immunology, cell biology, and molecular biology is also preferred. Proven track record of publications, excellent spoken and written communication skills are required. This appointment is not part of a clinical training program; individuals holding an M.D. degree or equivalent are not permitted to engage in patient care activity.

Closing date 15 Jun 2024

Apply here


Postdoc in Computational Biology

Department: "Artificial Intelligence in Oncology" and "Regulatory Genomics and Cancer Evolution"

Code number: 2024-0088

Employer German Cancer Research Center in the Helmholtz Association (DKFZ)

The German Cancer Research Center is the largest biomedical research institution in Germany. With more than 3,000 employees, we operate an extensive scientific program in the field of cancer research.

For collaborative efforts between the labs of Prof. Dr. Moritz Gerstung (Division of Artificial Intelligence in Oncology) and Prof. Dr. Duncan Odom (Division of Regulatory Genomics and Cancer Evolution), we are seeking a dry-lab postdoctoral scientist for the exciting intersection between large-scale genetic analysis utilizing experimental models, spatial biology, single-cell sequencing, tumorigenesis, and mutagenesis.

Job description:

In this role, the candidate will engage in all relevant aspects of experimental design, computational analysis, reproducibility, and reporting of several long-term projects between the respective labs in close collaboration with experimentalists. Due to the large amount of genetic data and features examined within these projects, the candidate is encouraged to help shape these projects, explore his/her areas of interest, and contribute new ideas and approaches to our research efforts.

In addition, the candidate is expected to develop and extend (reproducible) workflows for handling these datasets.

Requirements:

  • Master's and PhD degree in bioinformatics, clinical data science, AI/ML, or a related field
  • Track record of writing papers, evidenced by publications or submitted manuscripts
  • Affinity for collaborative work across discipline boundaries
  • Interest in cancer biology and reproducible research
  • Proficiency in spoken and written English, German skills are beneficial

Application deadline: 24.04.2024

Apply here


Posted on April 20, 2024

Bioinformatics Scientist

The University of Nevada, Reno (UNR) appreciates your interest in employment at our growing institution. We want your application process to go smoothly and quickly. Final applications must be submitted prior to the close of the recruitment.

If you need assistance or have questions regarding the application process, please contact our recruitment helpline at (775) 784-1495 or jobs@unr.edu. For UNR Med professional job postings, please contact the Office of Professional Recruitment at (775) 784-6778.

Job Description

The University of Nevada, Reno is currently seeking a skilled Bioinformatics/ Biostatistics/ Data Scientist to bolster research endeavors and assist faculty, staff, and students both on campus and in the Western NIH IDeA states. This role involves providing essential biostatistics, bioinformatics, and data analytical services for various applied research projects.

The Scientists, collaborating with colleagues from the Nevada Bioinformatics Center, will offer comprehensive support to researchers at all levels of proficiency, delivering expert assistance across various stages of the research lifecycle (e.g., consultation, analysis, dissemination). This role requires staying current of emerging bioinformatics and data science methodologies, fostering collaboration to assess and enhance services, and actively participating in university-wide initiatives related to data.

Required Qualifications

  • Bachelor’s Degree in the fields of biological and/or computational sciences and two (2) years of related work experience; OR
  • Master’s Degree in the fields of biological and/or computational sciences and one (1) year of related relevant work experience; OR
  • Doctorate Degree in the fields of biological and/or computational sciences with no post-graduate work experience required.

Related Experience: While Bioinformatics is often linked with genomics and transcriptomics, our core services extend beyond these omics fields. Candidates with backgrounds in proteomics or community health science are strongly encouraged to apply.

Apply here


 

Bioinformatician

Applications are invited to join an exciting research program within the VIB Center for Cancer Biology led by the two directors D Lambrechts and JC Marine.  The research will explore the molecular mechanisms of intra-tumour heterogeneity to provide insights into cell fate decisions, malignant stem cell renewal, treatment response, and resistance in cancer.

The position will involve the analysis of single-cell RNA-seq and spatial Omics (including multiplex proteomics and transcriptomics data) through the application of best-practice bioinformatics workflows. The position will require a highly motivated bioinformatician or computational biologist to provide support for a variety of projects in Cancer biology. The role requires competency in programming languages such as Python and/or R and will involve working on a high-performance computing cluster. The individual will collaborate very closely with other bioinformaticians, and cancer cell and molecular biologists to work on joint initiatives.

The position will be initially for a fixed term of 12 months with the opportunity to extend. Remuneration will be commensurate with qualifications and experience.

Profile

Essential Requirements

  • Masters in Bioinformatics, Computational Biology, Statistics, Computer Science, Genetics or equivalent, but a PhD degree is certainly a plus
  • Detailed knowledge in Python and/or R
  • Solid grasp of statistics
  • Excellent organizational and time management skills
  • Flexibility and ability to develop new skills
  • Ability to work both independently and as a member of a team
  • High-quality written and oral communication skills
  • Use of high-performance computing clusters

Desirable Requirements         

  • Experience in the analysis of single-cell RNA-Seq
  • Experience in the analysis of spatial transcriptomics/proteomics data is a strong asset
  • Development of ShinyApps
  • Experience with data management of large-scale datasets
  •  Knowledge of cancer biology

For further information about this opportunity, please contact Jeroen Declercq, jeroen.declercq@kuleuven.be

Apply here


Posted on April 02, 2024

Postdoctoral Researcher in bioinformatics

Do you want to contribute to top quality medical research?

The Unit of Integrative Epidemiology at the Institute of Environmental Medicine studies how the immune system contributes to the disease progression of cancer and neurodegenerative diseases. We use different tools to address these questions including experimental research using clinical samples and animal models, biobanks as well as large scale cohort and case-control studies. We are now looking for a postdoctoral researcher for a 1 year position.

Your mission

The research work will focus on how regulatory T cells maintain immune homeostasis and modulate the progression of cancer and amyotrophic lateral sclerosis (ALS). We are especially interested in how FOXP3 isoforms and (regulatory) T cell populations/specificities modulate disease progression. The emphasis of the research is to investigate disease mechanisms and potential therapeutic targets by performing experimental research that may then integrated with large scale epidemiologic studies. The candidate will be responsible for project coordination, data analysis, manuscript writing, result dissemination, and supervising junior researchers. Our mission is to cultivate next-generation researchers who are truly multidisciplinary.

Your profile

To be eligible for employment as a postdoctor a doctoral degree or a foreign degree deemed to be equivalent to a doctoral degree is required. This eligibility requirement must be fulfilled at the latest at the time of the employment decision. It is considered as an advantage if you have completed your doctoral degree within the last three years, if there are special reasons, your degree may have been completed earlier.

The applicant is required to have extensive knowledge on bioinformatic approaches for analysis of omics data and experience working in a Linux environment.  An interest in immunology is essential. The candidate should be willing to take responsibility in leadership work and should be able to demonstrate excellent teamwork ability.

Reference number STÖD 2-1267/2024.

Last application date 04.Apr.2024 11:59 PM CEST

Apply here


Bioinformatics Scientist - Radiation Oncology

The Department of Radiation Oncology at Washington University is seeking an experienced Bioinformatics Scientist to support Wash U's newly established Radiation Oncology-Biology Integration Network (ROBIN) Center. This cross-disciplinary center aims to integrate genomics, proteomics, metabolomics, and radiomics to understand the impact of radiation treatment on the tumor microenvironment in cervical and pancreatic cancer. The Bioinformatics Scientist position will be based in the Cancer Biology Division of Radiation Oncology. The Cancer Biology Division is a diverse group of clinical, physics, and computational science investigators who collaborate to answer fundamental questions about radiotherapy efficacy and cancer biology. The ideal candidate will have broad experience interpreting sequencing data from large cancer-related datasets.

Job Description

Primary Duties & Responsibilities

 

Designs, develops, and implements

  • Algorithms and computer software for omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical.]
  • Data management and analysis solutions that aid in the storage, investigation, and dissemination of large data sets.
  • Independent research projects, including design of research protocols and development of procedures for the collection, verification, and management of data.

 

Other Functions

  • Performs complex systems analysis of data and writes interpretative reports.
  • Evaluates commercial and academic bioinformatics software.
  • Trains other researchers on the everyday use of analysis software and research databases.
  • Assists with grant preparation and reporting of methods, data, and results.
  • Solves practical problems relating to difficulties with equipment or test subjects; suggests technical or procedural improvements in testing methods.

 

Preferred Qualifications

  • Master’s degree or Doctor of Philosophy in computer science or related field.
  • Experience analyzing large cancer-related single-cell sequencing datasets. Experience analyzing exome sequencing.
  • Experience collaboratively developing and implementing bioinformatics pipelines (ideally in Snakemake).
  • Experience with metabolomics or spectrometry-based proteomics.
  • Familiarity executing bioinformatics pipelines in local UNIX/Linux environments and cluster execution (LSF).
  • Proficiency in scientific programming languages including Python and R.

Required Qualifications

Bachelor’s degree in computer science, bioinformatics, biostatistics, or related field plus four years of experience; OR master’s degree in computer science, bioinformatics, biostatistics, or related field plus two years of experience; OR combined education and experience of nine years.

Apply here


Posted on April 01, 2024

Postdocs and Research Scientists in Bioinformatics and Multi-Omics

Postdoctoral and Associate Research Scientist Positions in Etienne Caron Lab at Department of Immunobiology, Yale School of Medicine.The Caron Lab seeks exceptional Postdoctoral and Associate Research Scientist candidates with a passion for innovation in immunotherapy and cancer vaccine research using computational proteogenomics and immunopeptidomics approaches.

The overarching goal of the Caron Lab is to develop and apply mass spectrometry-based immunopeptidomics and systems immunology approaches to understand the generation, composition and dynamics of both the self and nonself immunopeptidome, as well as its interaction with T cells, with the goal of innovating treatments and preventive strategies for a broad range of immune-related diseases.

Responsabilities:

  1. Develop and apply computational pipelines and innovative bioinformatics approaches for the discovery of novel tumor-specific antigens, PTMs, and both canonical and non-canonical actionable T cell epitopes from large immunopeptidomics datasets,
  2. Collaborate with other researchers (academic and industry).
  3. Train other lab members,
  4. Publish high impact factor publications,
  5. Present in conferences, locally, nationally and internationally,
  6. Actively contribute to the lab's activities, including preparation of manuscripts and research grants.

Qualifications:

  1. Ph.D. in systems immunology, bioinformatics or related field,
  2. Demonstrated expertise in the integration and analysis of large multi-omics datasets (WGS, RNAseq, ribo-seq, proteomics, immunopeptidomics),
  3. Knowledge in T cell biology and neoantigen prediction using epitope prediction algorithms,
  4. Demonstrated expertise in the development of computational pipelines and databases,
  5. Strong publication track record (at least one first author paper in a high impact factor journal)
  6. Strong communication skills in English (spoken and written),
  7. Demonstrated excellence in time management and teamwork.

Closing date 29 Apr 2024

If interested, please send your CV and motivation letter to etienne.caron@yale.edu.

For details click here


Postdoctoral Associate- Single- Cell and Data Science

Division:  Duncan Cancer Center
Schedule:  Monday - Friday; 8:00 a.m. to 5:00 p.m.
Work Location:  Houston, TX
Salary Range:  Per NIH Guidelines
FLSA Status:  Exempt
Requisition ID:  18519

Summary

The position is intended for Computer Science, Computational Biology, or life science graduates transitioning to a data science and bioinformatics career.  The successful candidate will receive training in analyses of single-cell and bulk-tissue multi-omics data and be expected to participate in multiple projects involving design, implementation and integration of large-scale datasets and data processing pipelines.

Job Duties

  • Analyzes single cell RNA-Sequencing, single cell ATAC-Seq, CITE-Seq, as well as bulk RNA-Seq, Proteomics, Metabolomics, and Lipidomics datasets, generated from brains of HIV patient cohorts with rich clinical data.
  • Conducts advanced modeling of cognitive ability scores using approaches that include generalized linear models and deep learning.

Minimum Qualifications

  • MD or Ph.D. in Basic Science, Health Science, or a related field.
  • No experience required.

Preferred Qualifications

  • Experience in epigenetics or gene regulation is a plus, and experience with statistical analysis tools such as R or Python is recommended (successful candidates will be expected to pass a basic programming test in Python).
  • Candidates must have a  Ph.D. in Computer Science, Bioinformatics, or biology, as well as a strong background in statistics, and familiarity with large data sets such as proteomics or sequencing.
  • Must be highly proficient in spreadsheets and generating reports.
  • Excellent communication skills is a plus.

Apply here


Posted on Feb, 29, 2024

Postdoctoral Research Associate - Computational Mass Spectrometry

The Skinnider Lab of the Ludwig Princeton Branch at Princeton University aims to recruit one to two postdoctoral associates or more senior research positions to work on projects related to computational analysis of and machine-learning approaches to mass spectrometry-based metabolomics and/or proteomics data. Positions are available starting March 2024, and will remain open until excellent fits are found.

Successful candidates will develop and apply computational approaches for mass spectrometry data, with artificial intelligence/machine learning (AI/ML) being a major focus. They will have an opportunity to lead and contribute to a range of exciting projects: for example, developing machine-learning approaches for the identification of known and unknown metabolites in MS/MS data; meta-analysis of mass spectrometry-based metabolomics from human disease; novel approaches to proteomic data analysis; or curation and development of new data resources. Opportunities are also available to support the development of an independent research agenda that is congruent with the interests and goals of the laboratory.

The scope of the work builds on recent publications from the laboratory, e.g. integrating language models with mass spectrometry data (https://www.nature.com/articles/s42256-021-00407-x, https://www.nature.com/articles/s42256-021-00368-1) developing bio- and cheminformatic tools to discover bacterial natural products (https://www.nature.com/articles/s41467-020-19986-1, https://www.nature.com/articles/nchembio.2018), or executing repository-scale meta-analyses of mass spectrometric datasets (https://www.nature.com/articles/s41592-021-01194-4).

Apply here


Postdoc in bioinformatics and cancer genomics

The Department of Clinical Medicine at Faculty of Health at Aarhus University invites applications for a position as Postdoc in the field of bioinformatics and cancer genomics as per June 1st, 2024, or as soon as possible thereafter. The position is a 3-year full-time position.

Department of Clinical Medicine

As a postdoc at the Department of Clinical Medicine, you will be part of what is probably the largest health science research department in Denmark. Our clinical research covers all the medical specialities and takes place in close collaboration with the university hospital and the regional hospitals in the Central Denmark Region. We have approx. 30,000 square meters of modern research facilities for experimental surgery and medicine, animal facilities and also advanced scanners at our disposal. The department has overall responsibility for the master’s degree programs in medicine and in molecular medicine. At the department we are approx. 670 academic employees, 500 PhD students and 160 technical/administrative employees who are cooperating across disciplines. As a postdoc, you will be working at Aarhus University Hospital or another hospital in the Central Denmark Region. You can read more about the department here and about the faculty here.

Your job responsibilities

As Postdoc in bioinformatics ad cancer genomics your position is primarily research-based but may also involve teaching assignments. You will contribute to the development of the department through research of high international quality. In your daily work, you will work closely with colleagues on your project, where you will receive supervision and guidance.
Your main tasks will consist of:

  • Independent research of high international quality, including publication.
  • Performing research using bioinformatic tools and supercomputer facilities
  • Obtaining, handling, and analyzing sequencing data including single cell- and spatial transcriptomics
  • Maintaining a high degree of technical expertise and biological insights based on published literature
  • Interaction with other team members to help facilitate bioinformatic procedures
  • Interaction with various collaborators, local, national, and international
  • The position may also include co-supervision of PhD, MSc, MD and/or BSc students.
  • The position may also include grant writing or assistance with grant writing.

Deadline: Sunday 24 Mar 2024 at 23:59 CET

Apply here


Posted on February 24, 2024

Postdoctoral Associate Computational Biomedicine

The Boston University Section of Preventive Medicine and Epidemiology is seeking postdoctoral candidates for its T32 Training Program in Cardiovascular Epidemiology awarded by the National Heart, Lung, and Blood Institute. Scholars will focus their training on the epidemiology of cardiovascular disease such as coronary heart disease, stroke, heart failure, and other forms of vascular disease, following one of the training pathways: statistical genetics and genomics, computational biology and bioinformatics, or clinical epidemiology.  Please visit https://www.bumc.bu.edu/preventive-med/education/t32-multidisciplinary-training-program-in-cardiovascular-epidemiology/ for additional program information.

The successful candidate will participate in training activities including pathway-specific coursework and workshops, as well as individual professional development workshops, one-on-one professional counseling and career planning, grant writing workshops, research seminars, journal internships, and working on research projects with a Boston University senior investigator on longitudinal epidemiological studies such as the Framingham Heart Study, Long Life Family Study, Risk Underlying Rural Areas Longitudinal study, and other cohort studies. All trainees will be supervised by their assigned faculty mentor as well as by the program’s co-directors for progress evaluation.

This position is a postdoctoral training opportunity which provides a bi-monthly stipend. The successful individual will be engaged in a 2-year period of mentored advanced training and professional development following completion of a doctoral degree program. Boston University provides benefits for employee postdocs (Postdoctoral Associate NRSA). Please visit the Professional Development & Postdoctoral Affairs website https://www.bu.edu/pdpa/postdocs/postdoc-101/benefits-for-non-employee-postdocs/ for details.

Required Qualifications:

  1. US Citizen or green card holder
  2. D. degree in Biostatistics, Epidemiology, Computational Biology, Bioinformatics, Genetics/Genomics or related field or M.D. degree

Programming skills (SAS and/or R) preferred

Earliest Training Program Start Date: April 1, 2024

Apply here


Postdoctoral Associate- Single- Cell and Data Science

Division:  Duncan Cancer Center
Schedule:  Monday - Friday; 8:00 a.m. to 5:00 p.m.
Work Location:  Houston, TX
Salary Range:  Per NIH Guidelines
FLSA Status:  Exempt
Requisition ID:  18519

Summary

The position is intended for Computer Science, Computational Biology, or life science graduates transitioning to a data science and bioinformatics career.  The successful candidate will receive training in analyses of single-cell and bulk-tissue multi-omics data and be expected to participate in multiple projects involving design, implementation and integration of large-scale datasets and data processing pipelines.

Job Duties

  • Analyzes single cell RNA-Sequencing, single cell ATAC-Seq, CITE-Seq, as well as bulk RNA-Seq, Proteomics, Metabolomics, and Lipidomics datasets, generated from brains of HIV patient cohorts with rich clinical data.
  • Conducts advanced modeling of cognitive ability scores using approaches that include generalized linear models and deep learning.

Minimum Qualifications

  • MD or Ph.D. in Basic Science, Health Science, or a related field.
  • No experience required.

Preferred Qualifications

  • Experience in epigenetics or gene regulation is a plus, and experience with statistical analysis tools such as R or Python is recommended (successful candidates will be expected to pass a basic programming test in Python).
  • Candidates must have a  Ph.D. in Computer Science, Bioinformatics, or biology, as well as a strong background in statistics, and familiarity with large data sets such as proteomics or sequencing.
  • Must be highly proficient in spreadsheets and generating reports.
  • Excellent communication skills is a plus.

Apply here


Posted on February, 21, 2024

Post Doctoral Fellow - Department of Biomedical Informatics

Emory University is a leading research university that fosters excellence and attracts world-class talent to innovate today and prepare leaders for the future. We welcome candidates who can contribute to the diversity and excellence of our academic community.

Description

Helps design and conducts research in the field of biomedical natural language processing and machine learning, while receiving advanced training from a designated Principal Investigator to enhance professional skills and research independence needed for career pursuit. The specific focus of research in which the trainee is mentored is determined by the department and laboratory of the Postdoc. Develops new ideas that promote current research. Helps in the preparation of project proposals and grant applications. Prepares and publishes scientific manuscripts under the direction of the Principal Investigator. Designs and evaluates experiments and may be responsible for operation of specific equipment. May teach techniques to others, train, and supervise research staff and students. 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.

MINIMUM QUALIFICATIONS: A doctoral degree or equivalent in one of the following majors: Electrical Engineering, Biomedical Engineering, Computer Science and Engineering, or Applied Mathematics. Excellent scientific writing ability and strong oral communication skills. The ability to work effectively and collegially in a multidisciplinary team.

Additional Details: The Emory University Department of Biomedical Informatics is seeking a postdoctoral researcher skilled in the advanced application of natural language processing and machine learning techniques, addressing a wide spectrum of medical and public health issues. The researcher will engage with diverse datasets, encompassing social media big data, electronic health records, unstructured clinical narratives, registry information, and patient surveys to support clinical decisions and influence policy direction. The postdoctoral scholar's primary research areas will be: (1) crafting AI/ML techniques to interpret and distill insights from biomedical and social media text; and (2) formulating clinical predictive tools using varied and sequential health data.

The Department of Biomedical Informatics is a highly dynamic and multidisciplinary environment that has strengths in bioinformatics, global health informatics, imaging informatics, machine learning, mHealth informatics and signal processing.

Candidates are required to have a strong background in at least one of the following areas: Biomedical Engineering, Biomedical Informatics, Biostatistics, Computer Science, Electrical and Computer Engineering, Signal Processing, Mathematics, or a related field.

Experience with large volumes of text based and streaming data are essential. Strong programming skills in Python, and modern machine learning platforms are required; experience with computing in cloud environments is a strong plus; some experience with high-performance computing, database administration and health data analytics is desired but not required. A strong sense of responsibility to complete research in a timely manner is required.

Apply here


Postdoctoral Researcher Bioinformatics & Machine Learning

Friedrich Schiller University is a traditional university with a strong research profile rooted in the heart of Germany. As a university covering all disciplines, it offers a wide range of subjects. Its research is focused on the areas Light-Life-Liberty. It is closely networked with non-research institutions, research companies and renowned cultural institutions. With around 18,000 students and more than 8,600 employees, the university plays a major role in shaping Jena’s character as a cosmopolitan and future-oriented city.

You will be embedded in the Cluster of Excellence Balance of the Microverse ( microverse-cluster.de ). The Cluster combines expertise in life, material, optical and computational sciences to elucidate fundamental principles of the interactions and functions in microbial communities in diverse habitats. We aim to identify the shared characteristics of disturbed or polluted ecosystems as well as infectious diseases on the microbiome level, and develop strategies for their remediation by targeted interventions.

Phage-host interactions (PHI) are an emergent trait that depends on the complex integration of factors like their taxonomic identity, the environment, and phage- and host-encoded proteins. The DiversiPHI project aims to unravel PHI by 1) measuring, 2) modelling, and 3) experimentally testing these diverse factors to develop a predictive understanding of host-range evolution. Your role will be to integrate experimental evolution data that we have obtained in the project with data from public repositories, to predict and understand the evolution of phage host-range.

Your responsibilities:

    • Plan, design, and create machine learning tools to integrate bacteriophage and bacterial (meta-) genomics data.
    • Analyse phage-host association datasets, which are often noisy and require specific knowledge to interpret.
    • Communicate and discuss your predictions with experimental group members.
    • Report your findings in publications and presentation at international scientific platforms.
    • Support PhD students, Master students and undergraduate project students.
    • Collaborate productively with experimental and computational researchers in the Microverse.

Your profile:

    • A Ph.D. degree in bioinformatics, computational biology, machine learning, or a related field with specialist knowledge and demonstrated hands-on expertise in meta’omics data analysis, bacteriophages, and machine learning.
    • Track record of planning, performing, and publishing original research.
    • Track record of supervision and training of students or junior researchers.
    • Enthusiasm and talent for working on a variety of projects in parallel and for interdisciplinary research.
    • Strong motivation, excellent organisation skills and ability to contribute to a friendly and collaborative working environment in a cross-disciplinary scientific research group.
    • Fluency in English is required, both written and spoken. Fluency in other languages is advantageous.

Apply here


Posted on February, 2024

An extensive resource for Bioinformatics, Epigenomics, Genomics and Metagenomics