Careers in Bioinformatics, Genomics and Life Science
Job Alerts in this week (May , 2018)
Update on May 25, 2018
Postdoctoral Scholar in Bioinformatics
The Four Diamonds Pediatric Cancer Research Center and Dr. Zhenqiu Liu’s laboratory are seeking a highly motivated postdoctoral scholar in bioinformatics and computational biology at the Department of Public Health Sciences, Penn State College of Medicine. Under the supervision of the Principal Investigator, the postdoctoral scholar will develop machine learning and statistical algorithms to leverage multi-omics data from public resources including TCGA, TARGET, COSMIC, ENCODE, and GTEX. The selected candidate will also have opportunities to collaborate with prominent principal investigators at the Four Diamonds Pediatric Cancer Research Center, explore biological mechanisms of carcinogenesis, and identify potential targets for experimental therapeutics.
The successful candidate should have strong computational and analytical skills. He or she is expected to lead multiple research projects, develop and adapt software pipelines, perform data analysis, and write manuscripts. A PhD in bioinformatics, computational biology, computer science, statistics/biostatics, or applied math with strong programing skills in Perl, python, C++, JAVA, R, and/or MATLAB is required. Experience with CRISPR-Cas9, ChIPseq, and single cell RNA-seq data are recommended, but not required.
Experience in multi-omics data integration and hierarchical modeling in pediatric oncology is a plus. This position is initially funded for three years, with performance reviews held annually and will have the opportunity to interact with bioinformatics faculties and postdoctoral fellows on campus, including those in the Department of Public Health Sciences, Institute of Personalized Medicine, and the Department of Biochemistry & Molecular biology. The Penn State College of Medicine is located in Hershey, Pennsylvania, a family-oriented community with top-ranked schools and convenient access to New York City, Philadelphia, Baltimore, and Washington D.C. Interested candidates should upload a copy of their CV, a brief statement of research interests, and contact information for three references.
Postdoctoral Associate (Functional Genetics of Cancer)
Sanford Burnham Prebys Medical Discovery Institute (SBP) is an independent nonprofit research organization that blends cutting-edge fundamental research with robust drug discovery to address unmet clinical needs in the areas of cancer, neuroscience, immunity, and metabolic disorders. The Institute invests in talent, technology, and partnerships to accelerate the translation of laboratory discoveries that will have the greatest impact on patients.
Our group is interested in the functional genetics of cancer. We use state of the art technology in genomics, proteomics and epigenetics to understand the molecular mechanisms that drive cancer progression, metastasis and chemoresistance. We are recruiting a postdoctoral fellow to work on understanding the functional consequences of combinations of mutations that contribute to tumorigenesis.
Required Experience /Education and/or Experience:
You hold a PhD degree or equivalent in bioinformatics, statistics, computational biology, or related discipline of biomedical research. Experience in computational and statistical genetics, genomics and knowledge of R and PERL and their application in cancer research is mandatory. The successful candidate will have strong qualifications or experience within several of the following areas:
- Bioinformatics and systems biology at the molecular level
- Cancer pathophysiology and RNA biology of Cancer.
- Project management of interdisciplinary research projects within genomics and bioinformatics (Genomics, Non-coding RNAs, Proteomics and Chromatin Biology)
- Experience with data structures, databases, and data architectures (TCGA, SU2C etc)
- Knowledge of biomedical resources and infrastructures
Posted on May 23, 2018
Postdoctoral Fellow in medical imaging and machine learning
At the Faculty of Medicine, Department of Biomedicine, a full-time (100%) position as Postdoctoral Fellow is available for a period of three (3) years. The position is part of the project “Computational medical imaging and machine learning – methods, infrastructure and applications”, at the newly established Mohn Medical Imaging and Visualization Center (MMIV), Department of Radiology, Haukeland University Hospital (https://mmiv.no), and is funded by the Bergen Research Foundation.
To successfully incorporate machine learning in medicine, doctors and medical specialists have to take a leading role. Our project, initiated from the Department of Biomedicine at UiB and the Department of Computing, Mathematics and Physics at HVL, is therefore tightly connected with departments at the hospital where data is collected and decisions are made.
Qualifications and qualities
We seek highly motivated individuals with experience applying machine learning to medical images.
- The candidate must hold a PhD-degree within the field of in medical/biomedical sciences or natural sciences on topics related to statistics, machine learning, computational medicine, bioinformatics or similar, or have submitted their doctoral dissertation for evaluation within the closing date of the application. It is a condition for appointment that the dissertation is approved
- Very good programming skills is a requirement. You are encouraged to include a link to your GitHub profile or similar documentation of programming competence in your application
Candidates who have experience in both machine learning (incl. deep learning) and medical image analysis (with experience using for example scikit-learn, TensorFlow, PyTorch, Keras, scikit-image, R, MATLAB, ITK-SNAP, Nilearn, FreeSurfer) are particularly welcome to apply for this position
Deadline Sunday, June 10, 2018
Single Cell Bioinformatics Specialist
The VIB-KU Leuven Center for Brain & Disease Research is located in Leuven, Belgium, and part of VIB and the University of Leuven (KU Leuven). With more than 300 people working in 17 labs, we study the brain in health and disease. Our research focuses on disorders such as Alzheimer’s, Parkinson’s, frontotemporal dementia and amyotrophic lateral sclerosis (ALS), but also basic research questions relating the cellular heterogeneity of the brain, brain wiring and synapse biology. These studies are integrated with immunology and studies on protein aggregation and amyloid toxicity.
- MSc or PhD degree in Bioinformatics, Engineering, Life sciences or computational field
- Experience with the analysis of high-throughput data, including transcriptomics, genomics, and single-cell RNA-seq data is required
- Solid experience with Linux, software development, database management, statistics, Python and R
- Thorough understanding of molecular and developmental biology, and of disease biology (preferably in neurological disorders)
Desirable but not required:
- Knowledge of machine learning is a plus
Posted on May 21, 2018
Research Scientist – Bioinformatics & Comp Biology
Computational analysis of multi-omics data for drug target detection. Discovery of novel drug combinations. Preparation of original research manuscripts. Assisting other members of the laboratory in their scientific projects. Assisting the PI in preperation of grant applications and manuscripts.
JOB SPECIFIC COMPETENCIES
Computational analysis The scientist will analyze multi-omics data sets to discover novel drug targets and deliver results rourinely to PI.
Programming skills The candidate will prepare original scientific programs and deposit to private and public source code repositories with PI’s supervision.
Scientific manuscript writing The candidate will write and publish original scientific articles.
Required: PhD in one of the natural sciences or related field or Medical degree
Required: With PhD, no experience required. With Medical degree, two years of experience in experimental or scientific work.
Postdoctoral Researcher in Barley Functional Genomics
The research group Genomics of Genetic Resources (GGR) is seeking a highly motivated postdoc to participate in a 3 year international collaborative project (IPK Gatersleben, University of Dundee, University of Minnesota / St. Paul) on barley functional genomics. Based on quantitative transcriptomics and GWAS in a barley diversity collection, we aim at elucidating regulatory gene networks involved in regulating yield related traits. The w ork builds on cutting edge genomic resources that were in t he focus of the research group GGR for the past 10 years .
Your qualifications and skills:
• You have a PhD or equivalent degree in biology, agriculture or any related field.
• You have a s trong background in cereal genetics and genomics .
• You have extensive experience in RNAseq wetlab experiments and data analysis.
• You possess advanced knowl edge in statistics.
• You are well acquainted with the use of R software or equivalent.
• You possess solid English skills
• You will execute g ene expression analysis by RNAseq in 2 (of 6) tissues in approximately 200 genotypes .
• You will be involved in phenotyping of seed, inflorescence and/or tiller traits.
• You will perform genome-wide association studies ( GWAS ) and gene network co- expression analysis .
Posted on May 18, 2018
Post Doctoral Fellowship in Computational Oncology
We are seeking highly motivated postdoctoral fellows to join Dr. Sohrab Shah’s new laboratory at Memorial Sloan Kettering Cancer Center in New York. We are establishing a significant new initiative in the field of Computational Oncology motivated by new advances in machine learning and AI tools, ultra-high resolution measurement technologies and massive high dimensional datasets available at MSKCC. Trainees in this new endeavor will help define the future of computing as it relates to understanding cancer and advancing cancer care.
We are seeking early career scientists with research expertise and interest in computational biology and bioinformatics to lead projects in cancer evolution, single cell genomics, mutational processes and timeseries analysis of drug response. Applicants should have an interest in algorithms, mathematical and statistical modeling, Bayesian statistics and/or artificial intelligence applied to cancer focused problems. Applicants must possess a PhD in relevant discipline such as computer science, statistics, data science, bioinformatics and computational biology and have a demonstrated publication track record. Candidates seeking an academic or industry career are encouraged to apply. A background in cancer biology especially in ovarian or breast cancer would be considered an asset.
Postdoctoral positions for Translational Bioinformatics
Two postdoctoral positions are available at Wang Laboratory of the UPMC Hillman Cancer Center, University of Pittsburgh. The individuals will be working on integrative computational genomics initiatives aimed at identifying pathological genetic aberrations, predictive biomarkers, and therapeutic targets from cancer genomics datasets, as well as developing novel bioinformatics tools and models to predict therapeutic responses of targeted therapies and immunotherapies.
The candidates will receive multidisciplinary training on computational genomics, molecular cancer biology, and translational research. The candidate must hold a Ph.D. degree in the Biomedical Sciences. Preference will be given to highly motivated candidates with an outstanding publication record in cancer research, and those with established expertise in bioinformatics or molecular cancer biology. The candidates may choose to work on translational bioinformatics, or molecular cancer biology, or both.
To apply, please send your CV, cover letter, and the contact information of 3 referees to: Xiaosong Wang, M.D., Ph.D. Associate Professor of Pathology and Biomedical Informatics UPMC Hillman Cancer Center Email: email@example.com
Posted on May 16, 2018
Postdoc Fellow Bioinformatics Single Cell
Single-cell research is quickly becoming the next massively parallel research frontier in basic and translational biology. Many opportunities for groundbreaking research can be found in computational analysis, methodological development and cross-platform integration of this data. The Taylor research group in CHOP’s Department of Biomedical and Health Informatics (DBHI) is hiring for a postdoctoral position in computational biology and single-cell analysis. This position will have the opportunity to work with members of the group in method development and analysis of single-cell data and other massively parallel data projects in eukaryotic and prokaryotic systems.
Postdoctoral fellows at CHOP receive mentored translational science and bioinformatics training in a rich scientific environment that includes both CHOP and University of Pennsylvania research communities, as well as exposure to several large multi-institutional collaborations. Postdoctoral fellows training in DBHI will serve to extend, refine and enhance skills necessary for professional and career development in translational bioinformatics research, and will enable the individual to broaden his/her scientific background by acquiring new research capabilities.
Preferred Education, Experience
PhD in relevant fields for computational biology, such as computational sciences, biophysics, statistics, mathematics, engineering, genomics/genetics, biology, or other quantitative fields.
Additional Technical Requirements
– Proficiency in R or similar commonly used statistical languages
– Basic proficiency with Python, Perl, or other languages
– UNIX/LINUX and high performance computing experience
– Values research integrity and collaborative research
Job Description Req ID: 18485
Research Fellow – Computational Biology and Bioinformatics
A post-doctoral Research Fellow opportunity is currently available in Dr. Alexej Abyzov’s lab in the Department of Health Sciences Research at Mayo Clinic in Rochester, Minnesota. Research will be purely computational and focus on the development and application of methods/software for CNV discovery and analysis from next generation sequencing (NGS) data. The ideal applicant will have a Ph.D. in computational biology or bioinformatics, be experienced in analysis of human whole genome NGS, be experienced in copy number variation discovery and analysis, demonstrate a record of peer-reviewed publications, be skilled in programming (e.g., know C/C++), and possess motivation for independent research.
Qualified candidates must have a Ph.D., M.D., or equivalent doctoral degree in a field deemed relevant by the program. Research Fellow is appropriate for individuals who have completed no more than one prior postdoctoral fellowship, at Mayo Clinic or elsewhere. Must have a Ph.D., M.D., or equivalent doctoral degree in a field deemed relevant by the program. Research Fellow is appropriate for individuals who have completed no more than one prior postdoctoral fellowship, at Mayo Clinic or elsewhere.
Posted on May 14, 2018
Postdoctoral researcher in Computational statistical genetics
The labs of Rasmus Nielsen (Statistics and Evolutionary Genomics, UC Berkeley) and Bryan Greenhouse (HIV, Infectious Diseases, and Global Medicine, UC San Francisco; Chan Zuckerberg Biohub) are seeking a talented scientist to hack disease transmission networks primarily focusing on malaria. This is an exciting opportunity for a postdoctoral researcher to take the lead on designing and implementing novel mathematical and statistical models to synthesize genetic and epidemiologic data.
- PhD in a relevant field (e.g. statistics, biostatistics, computational biology, computer science, applied mathematics, physics)
- Strong statistical and computational skills
- Expertise in graphical models, Bayesian networks, dynamic programming, MCMC, or similar
- Programming experience in C, C++, or similar programming languages
- Background or interest in basic biology, genetics, ecology, phylogenetics, and/or epidemiology
- Experience in analysis/modeling of pathogen dynamics, phylogenetics, spatial models, or phylogeography
- Software development
Research Fellow – Center for Individualized Medicine
The Microbiome Systems Medicine Group at Mayo Clinic (Rochester, MN, USA), led by Dr. Jaeyun Sung, invites applications for postdoctoral positions in computational & systems biology. This position has been created, in part, to increase our computational capacity to systematically analyze, integrate, and model the tremendous amount of longitudinal, multi-omics data currently being generated at Mayo Clinic. These data sources include genomes, proteomes, metabolomes, microbiomes, and clinical and physiological surveys. Our overall aim with these data is to further understand the complex interactions between commensal gut microbial organisms and human health.
Qualifications: The applicant must have a Ph.D. in one of the following fields: computational biology, biostatistics, bioinformatics, biophysics, human nutrition, or any engineering/science discipline. Ph.D. candidates with soon anticipated graduation are also encouraged to apply. Excellent written and verbal communication skills, strong ability to independently and creatively solve research problems, while working effectively with the principal investigator and lab colleagues, is a must. Prior experience working with multi-/meta-’omics analysis, systems biology, machine-learning, metabolic modeling, or network science, as demonstrated through past research accomplishments, would be ideal.
If you are interested in joining, please email Dr. Jaeyun Sung (Sung.Jaeyun@mayo.edu) your CV, contact information of three individuals who can provide strong reference letters, PDFs of your representative publications, and a <1-page personal statement describing: your general research interests, previous experience, and career goals.
Posted on May 11, 2018
Postdoc in Computational Biology
The laboratory is located in beautiful La Jolla, California. We are part of the Scripps Research Institute at the Department of Immunology and Microbiology, as well as the Department of Integrative Structural and Computational Biology. We are also affiliated with the Scripps Translational Science Institute, The Center for Viral Systems Biology, The Viral Hemorrhagic Fever Consortium and The Viral Hemorrhagic Fever Immunotherapeutic Consortium.
We are looking for a computational postdoc to lead new projects developing and using data mining, machine learning and Bayesian phylodynamic approaches to investigate the spread and evolution of emerging viruses, including Lassa and Ebola. This position is part of a larger initiate with the recently established Center for Viral Systems Biology.
- Ph.D. in computational biology, computer science, mathematics, physics, or equivalent.
- Programming skills in two or more languages (C++/Java/Python/R/MATLAB).
- Experience with data mining and machine learning is highly desired.
- Data visualization in Python/R/d3js is a plus.
- Experience with HPC preferred.
- Deep knowledge of Bayesian statistics, in particular Bayesian phylogenetics is a big plus.
- Strong interpersonal skills and the ability to work with and mentor junior scientists and students.
Interested candidates should submit their CV with links to code repositories (Github/Bitbucket) or online demos and cover letter to firstname.lastname@example.org. Please have at least three referees email their references directly to email@example.com.
Postdoctoral position Computational biology
The Sweet-Cordero laboratory at the University of California San Francisco is seeking a post-doctoral fellow to be involved in research using computational tools to study the genomic and epigenetic basis of pediatric cancer. Our laboratory uses a variety of high throughput sequencing technologies including whole genome sequencing (WGS) and RNAseq to perform integrative studies of advanced pediatric cancer to address both clinical and basic discovery questions.
• A strong background in the area of bioinformatics and/or biostatistics. A PhD degree in Life Sciences, Bioinformatics, Computer Science or a related field.
• Experience with and comfort working within a UNIX/Linux environment, including experience with high performance computing clusters and/or cloud computing.
• Experience with relational database management systems (PostgreSQL, MySQL or similar software)
• Programming skills in one or more languages, such as: Python, R, shell scripting, Java, Go, C++, etc.
• Previous experience with analysis of next-generation sequencing of DNA and/or RNA.
• Demonstrated ability to work with biologists to apply computational approaches to their experiments as well as the ability to help them develop their own bioinformatics skills.
Posted on May 09, 2018
Post-doctoral Researcher in Computational Biology and Medicine
We are seeking a highly motivated junior-level postdoctoral researcher to join the Voice Research Laboratory, Faculty of Medicine at McGill University in Canada. This appointment is expected to begin in September 2018 (start date negotiable). It is a 3-year position with possibility of extension. The Voice Research Laboratory focuses on advancing personalized medicine in laryngologythrough the development of numerical simulations, wearable devices, non-invasive diagnostics and tissue engineering products.
The successful applicant will work on highly interdisciplinary research projects in computational biology and translational research. The primary duty of this position is to further develop existing agent-based models for vocal fold biomaterial design and tissue reconstruction. Additional training on wet lab skills, advance microscopy and tissue mechanics are available if the applicant is interested in. The ultimate goal is to develop a multiscale computing platform that will allow systematic investigation of how individual parameters of biomaterials affect the property and behavior of bioengineered vocal folds across microscopic (cell activity), mesoscopic (ECM microstructure) and macroscopic levels (tissue mechanics).
A Ph.D. or equivalent degree in computational biology, biomedical engineering, or related quantitative scientific discipline is required by the time the appointment begins. The applicant should have expertise and experience in multiscale computational modeling and analysis of biological systems. Skills in numerical simulations, e.g., development of agent-based models using C/C++ and/ or Matlab/Mathematica, experience in sensitivity analysis, model calibration and verification, as well as implementation of mathematical descriptions of physical biological processes are required. Applicants with advanced computational training as well as knowledge of cellular biology and tissue biomechanics are preferred.
Candidates are encouraged to apply by May 3 1, 201 8 . Applications will be reviewed until the position is filled. Please send the application to Dr. Nicole Li – Jessen firstname.lastname@example.org .
The NYU Metabolomics Core Resource Laboratory is a new facility designed to offer cutting edge and custom metabolomics services to the Langone Medical Center campus. The core specializes in mass-spectrometry based metabolomics, offering both global untargeted and targeted methods for metabolite identification and quantification. The Bioinformatician will work on the continuing development of advanced software tools to analyze global LCMS data which makes complex metabolomic information useful to investigators. The Bioinformatician will also aid in the analysis of specific projects and datasets, working closely with other staff and clients of the NYU Metabolomics Core Resource Laboratory. All staff in the core will continue to develop their scientific knowledge through active participation in meetings, conferences, and relevant training.
- The Bioinformatician will also aid in the analysis of specific projects and datasets, working closely with other staff and clients of the NYU Metabolomics Core Resource Laboratory.
- Communication and Relationship to Other Staff
- Maintain confidentiality of all research information
- Communicate professionally and precisely with staff and clients
- Maintain a professional working relationship with all staff and clients
- Communicate ideas, problems, and suggestions in a timely and effective manner
- To qualify you must have a M.S. or Ph.D. in a Life Sciences field, specializing in bioinformatics
- Expertise with Python and R
Posted on May 07, 2018
Postdoctoral Fellow – Centre for Translational Cancer Research
This position is funded by Genomics Aotearoa, a national network working to improve capability in, and outcomes from, genomics in New Zealand. You will be part of a nationally distributed team, working in the Centre for Translational Cancer Research within the Department of Biochemistry. We are a large research and teaching department with ~100 graduate students and ~110 administration, teaching and research staff.
As a Postdoctoral Researcher in the Centre for Translational Cancer Research, you will:
• Perform analysis of cell-free DNA data derived from cancer patients.
• Establish a methodology for the incorporation of genomic information into clinical reporting systems.
• Establish procedures for the use of genomic data by oncologists for medical decision making.
Your Skills and Experience:
• A PhD degree in statistics, bioinformatics, molecular biology, genetics or similar subject.
• Extensive experience with the R language, and some familiarity with other programming languages.
• Familiarity with reproducible research concepts and methods, and experience working with version control systems.
• Good knowledge of genomics and molecular biology, and experience working with genomic data.
Applications quoting reference number 1800920 will close on Wednesday, 30 May 2018.
Research Bioinformatician position focused on single cell analysis
Karolinska Institutet, Institutionen för medicin, 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 about 40 teams.
We are looking for a talented and highly motived data scientist/bioinformatican to take the lead on the data analysis on joint projects in the Jacobsen (http://ki.se/en/medh/sten-eirik-w-jacobsen-group) and Woll (https://ki.se/en/medh/petter-woll-group) laboratories aiming to understand cellular and molecular pathways regulating normal and malignant hematopoiesis. Technological advances allow us to perform these studies down to the single cell level, generating large and complex genomic data sets which can be mined for novel and import insight to normal and malignant hematopoietic stem and progenitor cell biology.
- Degree in computer science, bioinformatics or a scientific discipline
- Competency in programming languages using programs such as Python, Perl and R
- Ability to learn new programming language as required
- Ability to stay on top of the relevant research field
- MSc or higher in computer science, bioinformatics, machine learning or related field
- Training in international leading laboratory
- Strong publication track record for stage of career
- Experience from hematopoiesis research
- Experience in molecular and/or cellular biology
- Experience in statistical analysis, analysis of complex data sets or developing analytical pipelines
- Familiarity with developing in a UNIX/Linux environment
Last application date 11.May.2018
Posted on May 04, 2018
Research Fellow – Computational Biology and Bioinformatics
A post-doctoral Research Fellow opportunity is currently available in Dr. Alexej Abyzov’s lab in the Department of Health Sciences Research at Mayo Clinic in Rochester, Minnesota. Research will be purely computational and focus on the development and application of methods/software for CNV discovery and analysis from next generation sequencing (NGS) data. The ideal applicant will have a Ph.D. in computational biology or bioinformatics, be experienced in analysis of human whole genome NGS, be experienced in copy number variation discovery and analysis, demonstrate a record of peer-reviewed publications, be skilled in programming (e.g., know C/C++), and possess motivation for independent research.
Qualified candidates must have a Ph.D., M.D., or equivalent doctoral degree in a field deemed relevant by the program. Research Fellow is appropriate for individuals who have completed no more than one prior postdoctoral fellowship, at Mayo Clinic or elsewhere. A Research Fellow at Mayo Clinic is a temporary position intended to provide training and education in research. Individuals will train in the research program of a Mayo Clinic principal investigator. Qualified individuals will demonstrate the potential for research as evidenced by their training and peer-reviewed publications and should become competitive for national research grants. Proof of English proficiency is required for J-1 Short-Term Scholars, Research Scholars, Professors, Specialists, and Student Interns sponsored by Mayo Clinic. 800146; J2WRTP.
Postdoctoral Research Opportunity in Computational Biology and Bioinformatics
The Invasive Insect Biocontrol and Behavior Laboratory’s Computational Biology unit analyzes biological sequences associated with invasive insects and their associated pathogens. This postdoctoral research opportunity offers training for the incumbent to demonstrate and refine existing bioinformatics skills and to develop new capabilities and professional experience. The participant will be a motivated, adaptable and responsible bioinformatics practitioner with a genuine interest in tackling crucial challenges to modern agricultural production enterprises.
A postdoctoral research opportunity in in computational biology and bioinformatics is available with the the U.S. Department of Agriculture (USDA), Agricultural Research Service (ARS), Beltsville Agricultural Research Center (BARC), Invasive Insect Biocontrol and Behavior Laboratory (IIBBL) in Beltsville, Maryland.
To be eligible, applicants must have a Ph.D., in the last 5 years, in the area of bioinformatics, computational biology, biology, biochemistry, genetics, computer science, statistics and/or mathematics.
Preferred Skills: Proficiency working in a Linux command line environment, as well as scripting abilities in either Python or Perl, is highly desired. A working knowledge of common bioinformatics algorithms and associated software is also preferred. Familiarity with the R environment for statistical computing is a plus. Although not necessary, familiarity with declarative and functional programming paradigms, as well as associated languages (e.g., Prolog, Lisp and Haskell), is highly appreciated.
Preferred Experience: Experience will ideally be directly related to the position, and may include work performed in a bioinformatics research laboratory setting involving manipulation of large data sets (e.g., ETL operations and/or quality control manipulations of sequencer output); analysis of data and interpretation of information.
Posted on May 02, 2018
Post-Doctoral Fellow in Host-Microbe Informatics
In GlaxoSmithKline R&D (http://www.gsk.com/research.html), computational biologists have a broad and essential role in drug discovery through the integrative analysis of internal and external biomedical data, combining strong computational skills with biological insight. This Early Talent postdoctoral fellowship (3 year) with the Computational Biology Department involves working with multiple therapy area teams on the interactions between the microbiome, pathogens and human host immunity. The roles of both beneficial and pathogenic microbes on human host pathways are being increasingly linked to the occurrences of many chronic and infectious diseases. With the rapid expansion of genomics and drug screening platforms, there is a significant opportunity for data-mining these resources to identify novel human gene targets modulated by microbial metabolites and peptides for the treatment of infectious and inflammatory diseases.
The successful candidate will participate in multidisciplinary drug discovery teams by contributing novel genomics and chemistry analyses (chemogenomics) on human host-microbe interactions; provide expert knowledge to scientific teams; make presentations to internal and external scientific conferences and; be the lead author of manuscripts submitted to high impact, scientific peer-reviewed journals. This is an excellent opportunity for those interested in applying their chemoinformatics and bioinformatics skills to translational and transformative medicine projects in a large pharmaceutical R&D organization.
• Recent PhD in bioinformatics / computational science / biomedical engineering/ biological sciences or equivalent research experience.
• Demonstrated skills to programmatically analyse complex biomedical and compound assay datasets.
• Experience in the analysis of microbiome and human genomic datasets especially from Next Generation DNA sequencing platforms.
• Demonstrated ability to use chemoinformatics approaches to solve problems in chemical biology, drug discovery or related fields.
• Expertise in computer languages such as Python, Perl, R Statistics and Java.
Requisition ID: WD165046
Postdoctoral Research Associate – Research Biologist (Computational/ Bioinformatics)
The incumbent is primarily responsible for executing the development a “decision support tool” for farmers. This decision support tool is an integrated decision aid based upon years of cover crop research in multiple US regions and will require advanced understanding of farm inputs. The incumbent is responsible for working with the regional cover crop councils to compile existing cover crop data for meta-analysis, development of decision support tools, and coordination with web-app developers. The focus will be on cover crop seeding rate, economic, and nutrient and water management decision support tools. Incumbent working in a team setting will conduct assigned research, and prepare scientific reports and manuscripts.
Departmental Required Skills:
- PhD in Biological Sciences, Computer Sciences, or a related field.
- Professional knowledge of computational biology, bioinformatics, computer science, engineering, agronomy, or related field.
- Strong analytical skills, experience conducting meta-analysis, working with large data sets, and writing manuscripts.
- Must be comfortable working in diverse teams, have strong communication skills and organization.
Posted on April 30, 2018
Postdoctoral position in Fungal/Plant genome analysis
A Postdoctoral Fellow position is available in the laboratory of Dr. Nicolas Corradi (https://corradilab.weebly.com/) at the University of Ottawa (ON, Canada). The position is initially available for one year, and is renewable for up to 3 years. The position is partially funded by Mitacs (https://www.mitacs.ca/en). The successful applicant will spend most of his/her research time in the Corradi lab, and the PDF research is expected to improve knowledge of important bio-fertilizers and natural products using genome analyses. Throughout the research, the PDF will also acquire important professional skills in data management and participate in an industry-relevant R&D product with high translational potential through collaborations with the industry.
Projects: The applicant is expected to work on these two projects in collaboration with PhD students.
1) Assembly, annotation and analysis of dikaryotic arbuscular mycorrhizal genomes:
2) Assembly, annotation and analysis of the Echinaea purpurea genome.
Applicants are expected to have strong background in “Genome Analysis”, and in handling large amounts of sequence data. Evidence of prior success with assembly of large and complex genomes using long-read technologies is desired. Past practical knowledge of Plant Genomics, or evidence of work on highly heterozygous diploid and /or polyploid organisms, will be seen as an asset for this position.
Research Associate – Bioinformatics
We are seeking a highly motivated candidate with a background in Bioinformatics, Computer Science, Population Genetics, or Statistical Genetics for a post-doctoral position within an independent research group in the Center for Genes, Environment, and Health. The research in our laboratory focuses on translational genetic and genomic studies of complex lung diseases.
This position will be focused on the advanced bioinformatics and statistical analysis of Next-Generation sequencing data. In particular, the successful candidate will be involved in both large gene expression, eQTL, and single cell sequencing data analyses. The successful candidate will be responsible for the programming, data processing, and statistical analysis of next generation sequencing, genetic, and other data generated by projects aimed at understanding the genetic and functional basis of complex lung diseases.
The ideal candidate will display:
- Proven experience using bioinformatics to analyze high-throughput genetic and genomic data
- General shell scripting knowledge and experience working in UNIX and LINUX environments, particularly with large text files and genomic information
- Experience working and programming in Windows and Linux environments
- Demonstrated knowledge and programming experience in VB, .NET, PERL, R, C++, and/or Java, and willing to pick up new programming languages as necessary
- Familiarity and working knowledge with standard bioinformatics tools, packages, algorithms, and databases
Job Reference #: 11259
Posted on April 27, 2018
Postdoc in Systems Biology for non-coding RNA in bacterial cell factories
A two-year Postdoc position is available in the bioinformatics group (http://ivh.ku.dk/bioinformatics), Center for non-coding RNA in Technology and Health (RTH), (http://rth.dk) at Department of Veterinary and Animal Sciences, Faculty of Health and Medical Sciences at University of Copenhagen. The Postdoc position in Systems Biology for non-coding RNA in Bacterial Cell Factories is available from 1 June 2018 or as soon as possible thereafter.
Transcriptomic data sets from relevant strains of the model cell-factory Bacillus subtilis will be used as outset for identification of ncRNAs and their pathways through integrative analysis. This will also include in silico analysis of expression data, RNA structure and RNA-RNA interactions. An integrated workflow will be established including both known tools and tools developed on demand when relevant.
- A completed PhD degree in bioinformatics, systems biology, computer science or in a similar area
- General background knowledge of biological areas of genome structure and transcriptomes
- Solid experience with transcriptome analysis
- Experience with gene network and pathway analysis
- Algorithmic insight broad and for RNA 2D structure and RNA-RNA interactions
- Strong experience with script languages such as Perl or Python (or similar)
The deadline for applications is 18 May 2018.
Illumina has seen unprecedented growth in direct-to-consumer (DTC) genomics space in the recent years, with an inflection point reached in 2017: out of the 12M samples processed to date, 7M were processed in 2017. This role presents a rare opportunity to join a cross-functional team focusing on the next wave of product innovation for population-scale screening in the rapidly growing applied genomics markets, such as DTC and healthy human screening. The candidate will lead the development of new microarray and/or next generation sequencing (NGS) informatics applications, variant content for new products, and support tools serving the needs of these markets.
Roles & Responsibilities:
- Technical design and performance evaluation of novel content identified by the Emerging Markets Bioinformatics Scientist.
- Development and management of necessary bioinformatics tools and infrastructure for seamless applications of high-density genotyping data for the on-market microarrays products, including vcftools, plink, and imputation tools (BEAGLE/MACH/IMPUTE 2).
- Fostering relationships with internal bioinformatics teams within Illumina to continuously improve existing and develop new array informatics tools in support of the evolving market needs.
- Ph.D. in Bioinformatics, Human Genetics, Computer Science, Mathematics, or related field.
- Post-doctoral experience is preferred, but not required.
Posted on April 25, 2018
Postdoctoral Fellowship in Statistical Genetics and Genomics
Applications are invited for a postdoctoral fellow position to join Dr. Xiang Zhou’s research group in the Department of Biostatistics at the University of Michigan. This position emphasizes developing statistical methods and computational tools for high-dimensional biological data from genome-wide association studies and/or functional genomic sequencing studies.
Specific areas of interest include, but are not limited to, (1) SNP heritability estimation and phenotype prediction using dense genotypes and/or sequence data; (2) integrative modeling of complex traits with genotypes, expression and other omics data; (3) association mapping by incorporating multiple traits, multiple SNPs, and pathways; (4) differential expression analysis in bisulfite sequencing, RNA sequencing or other functional genomics sequencing studies; (5) modeling and analysis of single cell sequencing data. The successful candidates will be undertaking methodological development and will have the opportunity to analyze a variety of large-scale data types.
Applicants should have, or be studying for, a PhD in biostatistics, bioinformatics, computational biology, computer science, electronic engineering, human genetics, statistics, or related quantitative discipline. A strong computational background is also required. Applicants should send a CV, a short research statement, and names of three referees to me.
Bioinformatician – Single cell RNA SEQ analysis
Established in 2007 at the University of Liège, GIGA is an interdisciplinary research center in biomedical sciences whose mission is advanced medical innovation. The institute encompasses more than 500 m embers (PI, senior researchers, post – doctoral scientists, thesis students, technicians) with expertise in medical genomics, in silico medicine, neuroscience, oncology , infection and immunity, and cardiovascular sciences. GIGA provides its members access t o a broad range of state – of – the – art technologies through core facilities, including the genomics platform ( http://www.giga.uliege.be/ ). The center offers an extraordinary range of services on the same site, where researchers, clinical doctors, doctoral students, students and private sector actors meet.
The GIGA Genomics platform is seeking to hire an enthusiastic bioinformatician/computational biologist to provide expert support for the analysis of single cell RNA sequencing data and other types of complex NGS data. The successful candidate will join the team headed by W. Coppieters and will work closely with scientists from the GIGA Institute.
– Ph.D. or equivalent experience in bioinformatics, computational biology, engineering mathematics/physics, molecular genetics, or a related discipline.
– Proficiency using R and Bioconductor packages, as well as using scripting and programming languages (e.g. Python, Perl, R, bash).
– Experience with working on Linux environment and high
– performance computing clusters.
– Demonstrated experience in the analysis of “omics” data and good understanding of biological questions.
– Good knowledge of data integration, multivariate analyses and meta analyses.
– Additional background in statistics, machine learning and/or predictive analytics would be a plus.
Please send a motivation letter, your CV and contact details of at least two references to email@example.com and firstname.lastname@example.org by 20th june 2018.
Posted on April 23, 2018
Postdoctoral Fellow in Computational Biology
The Moorjani Lab (https://moorjanilab.org/) at University of California, Berkeley has a post-doctoral position available for motivated candidates with background in statistical population genetics and/or data science. Our lab focuses on using statistical and computational approaches to study questions in human genetics and evolutionary biology. A central aim in the lab is to understand the impact of evolutionary history on genetic variation and to apply this knowledge to learn about human history and biology. To this end, we use genetic data from ancient specimens and present-day species to learn about: (1) when key events (such as introgression and adaptations) occurred in human history, (2) how different evolutionary processes such as mutation rate evolve across primates, and (3) how we can leverage these patterns to identify genetic variants related to human adaptation and disease. The research in the lab involves both development of new methods and large-scale genomic data analysis.
A successful candidate will develop and apply computational approaches to large genomic datasets to characterize patterns of population history and evolution. The main responsibilities include conducting research, attending regular lab meetings and journal clubs, and preparing research results for publication and presentations at scientific meetings. Opportunities may also exist for mentoring graduate and undergraduate students.
Minimum/Basic Qualifications required at the time of application:
• Completion of all doctoral degree requirements except the dissertation in genetics, computational biology, biostatistics, population genetics or related fields.
Additional Qualifications (required by start date):
• PhD or equivalent degree in genetics, computational biology, biostatistics, population genetics or a related field.
• Knowledge of statistics and population genetics theory.
• Demonstrated record of research productivity and publications.
• Programming experience (e.g. C/C++, Python/ Perl, R or other programming languages)
Bioinformatics Post-Doctoral Scientist
The Institute for Genomic Medicine (IGM) at Nationwide Children’s Hospital is creating a future that integrates genomics into the everyday practice of pediatrics. Led by a team of internationally-renowned genomic medicine scientists, the IGM is housed in the campus’ newest research building, spanning ~25,000 square feet of laboratory and office space in a highly interactive setting.
We’re looking for a Postdoctoral Scientist to join our Computational Genomics Group to develop novel computational and statistical approaches for the analysis and interpretation of genomic data in pediatric cancer and other rare genetic diseases. You will have the opportunity to work on a highly collaborative team, developing novel software tools, utilizing the elasticity of the Cloud and innovative Big Data technologies. This is an exciting opportunity for a recent PhD graduate or junior postdoc to gain experience of bioinformatics research in a clinical setting and develop new skill sets from a diverse spectrum of projects which have a direct impact on pediatric patient care. Excellent verbal and written communication skills will be essential as the individual will work collaboratively with bioinformaticians, biologists and clinicians on projects that lead to publications and presentations at professional meetings.
• PhD in Bioinformatics, Computational Biology, Computer Science or related discipline
• Deep computational understanding and strong programming skills (candidates will be asked to complete a programming assessment)
• Scripting and process automation experience (Python, Perl, shell, etc)
• Standard knowledge of algorithms, data structures and scientific programming
• Experience in bioinformatics and core bioinformatics tools and databases
Posted on April 20, 2018
Postdoctoral Fellow/Genetics, Genomics and Informatics
The faculty mentor for this position will be Dr. CLAIRE SIMPSON. The University of Tennessee Health Science Center Department of Genetics, Genomics and Informatics is seeking applicants for a postdoctoral fellow position in statistical genetics/genetic epidemiology of ocular traits and diseases.
Opportunities for research are available focusing on analysis of whole exome and whole genome sequence data, gene expression and epigenetics and computer simulation studies to investigate properties of novel and existing statistical methods for analyses of human and mouse genomic data. Applicants should have training in genetic epidemiology, statistical genetics or bioinformatics.
Qualifications: Qualifications include recent (no more than 3 years) Ph.D. and experience with genetic analysis of human and mouse diseases and traits.
Postdoctoral Fellow in Genomics
The cancer research team at the Center for Medical Genetics (supervised by prof. ir. Katleen De Preter (www.crig.ugent.be/en/prof-katleen-de-preter-phd), dr. Bram De Wilde and prof. Frank Speleman (www.spelemanlab.org)) has an open position for a highly motivated researcher with expertise in bio-informatics and a keen interest in translational cancer research.
You will work in a multidisciplinary environment under the supervision of senior scientists in bioinformatics and molecular biology in the Center for Medical Genetics (cmgg.be) and within the broader framework of the Cancer Research Institute Ghent (crig.ugent.be) where you will implement and develop (new) algorithms for genomics analysis of tumors aiming at a more precise care for the patient.
- MSc with a specialization track in bioinformatics or equivalent through experience OR holder of a PhD degree in bio-informatics, (medical) biology, (bio-)engineering, computer science, or related fields, obtained in the last 5 years. Candidates with prior experience in (epi)genomics technologies and standard bioinformatics and statistical skills are strongly encouraged to apply.
- Solid experience with bioinformatics programming, databases and statistics for bioinformatics, including scripting (e.g. Perl, Python), R (incl. Bioconductor), UCSC Genome Browser, Ensembl API, etc, knowledge of relational databases (MySQL, etc) and web servers (Apache, etc) is strongly recommended.
Posted on April 18, 2018
Postdoctoral Associate: Computational Biology
We are seeking a creative and highly-motivated postdoctoral associate in Computational Biology to join our study and analysis of single-cell genomic data. The Regev lab is a dynamic, multi-disciplinary group that develops the technologies and computational algorithms and analytics needed to decipher the transcriptional circuits that control gene expression and cell phenotype within cells and tissues. As a pioneer in the development and application of experimental and computational methods for high-throughput single-cell RNA sequencing, we are focused on understanding single cell-level gene expression changes in response to internal and external perturbations, in both normal physiology and in disease.
The ideal candidate will have an interdisciplinary background in bioinformatics/computational biology and mammalian physiology, and will have made significant contributions to their area of study as evidenced by a strong publication record in internationally-recognized, peer-reviewed journals.
Qualified candidates should have:
● A Ph.D. in computational biology, computer science, engineering, mathematics, physics, or related field
● Proficiency at programing in a modern programing language (e.g. Python), with knowledge of R/MATLAB
● Extensive experience with data analysis as demonstrated in published work.
● Proficiency in effective use of data structures and techniques for processing and manipulation of large-scale sparse and dense data-sets
● In-depth knowledge of statistical methods and/or machine learning methodologies
Postdoctoral Fellow – Computational Research
The Massachusetts General Hospital (MGH) Corrigan Minehan Heart Center and Cardiovascular Research Center is seeking a highly motivated individual for a postdoctoral research fellowship position to work on multiple clinical and translational research projects focused on cardiovascular disease. The new team member should have prior experience in management, manipulation, and analysis of high-dimensional ‘omics datasets derived from multiple types of experimental designs. Interest in or experience with applying statistical learning approaches and developing computational tools to analyzing data would also be very highly valued.
This postdoctoral position offers the opportunity to work directly with the Senior Investigator as part of a collaborative multidisciplinary team of clinicians and scientists. The candidate will have the opportunity to lead data analyses for projects related to heart disease, and to leverage conventional and advanced approaches to analyze large unique databases of human and experimental ‘omics data.
PhD degree in an analytical and/or computational field, including epidemiology, genetic epidemiology, computer science, bioinformatics or other relevant scientific discipline.
Strong interest in clinical and/or translational research is required.
Thorough understanding of biostatistics preferred
Experience using R, STATA, and/or SAS to analyze large datasets required.
Experience with Python and working in Linux environments preferred.
Direct experience performing analyses of genetic and other omics data would be highly valued.
Posted on April 16, 2018
Postdoctoral Position in Computational biology
The Molecular Immune Regulation group at the Department of Biomedicine of the University of Basel and Basel University Hospital in Switzerland is seeking a highly motivated postdoc to work at the intersection of immunology, computational biology and molecular biology. We have recently developed a CRISPR/Cas9-based approach for T cell genome engineering (Kornete et al., The Journal of Immunology, 2018). The current project applies this and refined methods to dissect miRNA/gene networks in T cells.
- You combine analysis of RNA-Seq, CLIP and metabolomics data with wet lab work to perturb genetic networks in T cells
- You employ a variety of genome engineering approaches in T cells (CRISPR/Cas9, Cpf-1, HDR, base editors) to experimentally validate your in silico analysis
- You actively contribute to interdisciplinary collaborations
- You contribute to validating results in mouse models
The successful candidate is expected to have:
- PhD, MD or MD PhD degree in immunology, cell/molecular biology or computational biology
- The ideal candidate has a strong background in immunology (including hands-on work) combined with practical experience analyzing “omics” data (e.g. RNA-Seq, metabolomics)
- You enjoy combining computational analysis with bench work
Post Doctoral Research Associate Bioinformatics
Brookhaven National Laboratory is a multipurpose research institution funded primarily by the U.S. Department of Energy’s Office of Science. Located on the center of Long Island, New York, Brookhaven Lab brings world-class facilities and expertise to the most exciting and important questions in basic and applied science—from the birth of our universe to the sustainable energy technology of tomorrow. We operate cutting-edge large-scale facilities for studies in physics, chemistry, biology, medicine, applied science, and a wide range of advanced technologies. The Laboratory’s almost 3,000 scientists, engineers, and support staff are joined each year by more than 4,000 visiting researchers from around the world.
A postdoctoral position is available immediately at the Brookhaven National Laboratory, Biology Department under the supervision of Dr. Jorg Schwender. The successful candidate will conduct research within a DOE-funded project aimed at designing feedstock plants for biofuel production and bioproducts. Within the multi-organizational project a systems biology approach is being developed to integrate information from the genomes of feedstock plants with gene expression, metabolite profiles and other data. In this context, a metabolic modeling approach is being developed for specific feedstock plants.
Required Knowledge, Skills, and Abilities:
Ph.D. in either of the fields of plant biology, biochemistry, chemical engineering with emphasis on metabolic engineering or closely related discipline.
- Bioinformatics and programming skills.
- Proven ability for disseminating research results by writing manuscripts and giving academic presentations.
Research experience demonstrated through a record of publications in peer-reviewed journals
Posted on April 13, 2018
Postdoctoral Fellow in Bioinformatics and Systems Biology
Dr. Nicholas Schork, Director of Quantitative Medicine at TGen, seeks a creative, independent, and highly motivated researcher interested in developing and applying novel and comprehensive annotation methods for genes and genetic variants in a wide variety of contexts, in particular disease diagnosis, therapeutic choice and cross-species (orthology) disease model analyses. The methods to be developed will consider modeling the influence of genetic variants on gene function and the functional effects of genes that can be reconciled across species.
The post-doctoral fellow will have the opportunity to develop and evaluate computationally-based gene and genetic variant functional models in a collaborative environment that includes basic scientists, computational and quantitative scientists, biomedical technology developers, evolutionary biologists and clinicians, including those at TGen’s affiliated institution, the City of Hope Hospital in East Los Angeles, as well as its many other partner institutions.
Education and Preferred Qualifications:
- Ph.D. (completed or near completion) in Bioinformatics, Systems Biology, Computational or Quantitative Biology, Biostatistics, Comparative Biology, or a related field.
- Computer programming, R, scripting languages, and biological database query skills
- Familiarity with genomics and comparative biology
- Experience with large biological data sets
- Excellent written and verbal communication skills
- Willingness to work in collaborative settings
- No publication record is required, but a publication track record is preferred
Postdoctoral position in Cancer Genomics
We are seeking a highly-motivated Postdoctoral candidate committed to research in cancer genomics. The overarching goal of the Bell lab is to identify pathogenic driver genes that underlie the development of the most clinically aggressive forms of human endometrial cancer. Our research entails next generation sequencing of clinical samples at the NIH Intramural Sequencing Center, in silico mining of large publically available genomic datasets, and functional annotation of mutations in candidate driver genes.
The successful applicant will use bioinformatics approaches to analyze in-house and publically available next-generation sequence data to identify candidate cancer genes, with the possibility of utilizing molecular, biochemical, and cellular approaches to functionally discriminate driver mutations from passenger mutations in selected genes-of-interest. Access to extensive core facilities including cores in bioinformatics, microarrays, copy number analysis, flow cytometry, cytogenetics, and a transgenic mouse core, offers the trainee wide latitude in the design and pursuit of their research questions.
Successful candidates should have or be very close to obtaining a PhD, and have less than two years of Postdoctoral experience. Applicants should have a strong background in cancer research, as well as expertise in computational biology, bioinformatics, biostatistics, or a related field. Experience in molecular/cellular biology and biochemistry are highly desirable.
Posted on April 11, 2018
Postdoc in Population Genomics
A 2-year postdoc position in population genomics is available in the research group of Mikkel H. Schierup at the Bioinformatics Research Centre, Aarhus University. The position is available starting 1 May 2018 or as soon as possible thereafter. The post doc will develop and apply approaches to study the evolutionary processes affecting sex chromosome evolution with specific focus on human population data sets and new data sets of great apes genomes. The goal is to elucidate the mechanisms underlying the very strong natural selection affecting the X chromosome and its involvement with speciation processes as well as in male fertility. Depending on your interests, focus can be on population genetics methods development, large scale analysis, or both.
We are looking for a highly motivated person trained in population genetics and with some prior experience with analysis of large population genomics data sets. About Bioinformatics Research Centre (BiRC). BiRC (www.birc.au.dk) provides a young, interdisciplinary environment, presently with ~45 professors, post docs and PhD-students. There are strong links to Department of Computer Science, Mathematics/statistics and Biology as well as to the Faculty of Health. Within population genomics and evolution, BiRC hosts the integrated research groups of Kasper Munch (recombination, selection in primates, X and Y chromosome evolution), Thomas Bataillon (evolutionary theory, experimental evolution), Asger Hobolth (coalescent methods) and Mikkel H. Schierup (primate population genomics, X and Y).
All applications must be made online and received by: 25.04.2018
Postdoctoral Fellow: Computational Biology
The Valen lab is dedicated to the study of gene regulation and RNA biology. We use a combination of experimental and computational approaches to analyze and model regulation trying to understand the integrative effects of transcription and translation.
We are always looking for talented students and postdocs both from the computational and experimental side of biology. The ideal computational candidate has a background in computer science or math/stats associated field with a strong interest in biology and omics approaches. Candidates with a background from the lab are expected to be proficient with basic molecular biology techniques and preferably with high-throughput sequencing based methods and RNA biology.
For more information send your CV to Eivind Valen (email@example.com).
Posted on April 09, 2018
Postdoctoral Associate in Genomics
Baylor College of Medicine-Human Genome Sequencing Center (BCM-HGSC) is currently seeking an enthusiastic individual to work in a rapidly evolving research lab to create world-class software. This new member will work with researchers to create unique and impactful applications that will further the understanding of genetic diseases. BCM-HGSC offers opportunities that provide both educational and professional growth. No matter what the role, our employees make a significant contribution to genome research and tomorrow’s science in a family-friendly work environment. BCM-HGSC is located in the Texas Medical Center and provides an academic environment that balances work and personal life.
This a new Postdoctoral Associate position that will provide support for multiple projects involving SV detection and annotation, including the HGSC’s primary sequencing grant from the NIH. The Baylor College of Medicine Human Genome Sequencing Center (BCM-HGSC) is one of three large-scale sequencing centers funded by the National Institutes of Health. As one of the three major centers in the United States, the BCM-HGSC provides a unique opportunity to work with cutting edge genomic science.
- Ph.D. in Computer Science, Applied Mathematics, or related fields with a dissertation related to Computational Biology.
Preferred skills and experience:
- Published at least two first author papers in English and demonstrated written communication skills in English.
- Genomics and Next-Gen Sequencing tools (SAMtools, BWA, bedtools, etc.)
- Experience in computational method NGS development (Python/Perl/C++)
- Experience in working with UNIX & Cluster environments (SGE/Slurm)
Bioinformaticist Project Scientist/Engineer
Berkeley Lab’s Joint Genome Institute (JGI) has an opening for a Bioinformaticist Project Scientist. Under general supervision of the principal investigator, you will perform research relevant to the missions of the Plant Functional Genomics program. You will work as part of a team including biologists, bioinformaticians, and computer scientists using comparative and functional genomics to discover how polyploid genomes function and evolve; how pan-genomes evolve and how they can be used to accelerate plant breeding; and the role of epigenetics in mediating genome regulation and evolution.
What is Required:
• Ph.D. or equivalent experience in genomics, bioinformatics, molecular biology or related field.
• Demonstrated experience with Python, PERL or similar programming languages.
• Ability to document and summarize research results for presentation and publications with a proven record of publications in peer-reviewed journals.
• Strong analytical and organizational skills.
• Excellent interpersonal, oral, and written communication skills.
• Ability to work independently as well as part of a diverse team.
• Proficient computer skills, including experience using UNIX/Linux, Mac and/or PC operating systems.
• A commitment to and demonstrated ability to perform collaborative research in a team environment.
Posted on April 06, 2018
Research Fellow: Computational Genomics
A postdoctoral Research Fellow opportunity is available in Computational Genomics within the Division of Biomedical Statistics & Informatics at Mayo Clinic in Rochester, Minnesota. The successful candidate will work with Dr. Daniel Schaid on the development, computer programming, and evaluation of statistical methods for multivariate traits in genome-wide association studies. The postdoctoral Research Fellow will participate in team efforts and take the lead on several projects. The expectation is this candidate will have opportunities to present results and publish.
Must have a Ph.D., or equivalent doctoral degree in a quantitative field deemed relevant by the program. Research Fellow is appropriate for individuals who have completed no more than one prior postdoctoral fellowship, at Mayo Clinic or elsewhere. Please attach the following required documents at the time of application:
- Current curriculum vitae and bibliography
- Three letters of recommendation, signed, on letterhead, describing:
- Relationship to the applicant.
- Past work/academic performance.
- Work qualities/personal conduct.
- Overall assessment of potential for success in research environment.
- Doctoral degree certification, if applicable:
- Original or notarized copy of diploma or final transcript issued by school (English translation required).
Experience with computer programming languages such as R, Python, Perl, is necessary. Knowledge of statistics, genetics, and bioinformatics is preferred.
Translational Research Post-Doctoral Fellow
Ferring Pharmaceuticals is a globally recognized, research-driven, biopharmaceutical company with more than 65 years of history. Headquartered in Switzerland, Ferring is privately owned with over 5,700 employees in nearly 60 countries. In the United States, Ferring identifies, develops and markets innovative products in the fields of reproductive health (infertility), urology, gastroenterology, endocrinology, women’s health (obstetrics/gynecology) and orthopaedics. Ferring’s US operations employ approximately 800 people.
Computational post-doc in FRI’s Translational Research group will engage in external collaborations with leading academic researchers in the reproductive and women’s health space and potentially other areas of strategic interest. Collaboration opportunities include microbiome community and functional profiling, RNAseq and other –omics data analysis and integration. The Post-Doc candidate will also work with FRI scientists to translate results into early stage preclinical drug discovery projects.
- Ph.D. in biostatistics, genomics, bioinformatics, computer science or related field.
- Optional: Post-docs looking complete a 2nd post-Doc in an industry setting
- Expertise in biostatistics, computational biology and genomics strongly preferred
- Experience in analysis and interpretation of NGS data and integration with other sources
- Expertise in microbiome analysis preferred but not required
- Excellent communication and programming skills
- Mastery of R, proficiency with Unix and one or more scripting languages (Perl, Python, etc)
Posted on April 04, 2018
Post Doctoral Fellow – Computational Genomics/ Systems biology
A postdoctoral fellow position is open in the Tan research group in the Departments of Pediatrics and Biomedical and Health Informatics (DBHI) at the Children’s Hospital of Philadelphia (CHOP) http://tanlab4generegulation.org. Dr. Tan is an associate professor of Pediatrics and Biomedical and Health Informatics.
CHOP postdoctoral fellows receive mentored training in a rich scientific environment that includes both CHOP and University of Pennsylvania research communities. CHOP is an interdisciplinary institution dedicated to conducting basic, clinical and translational research with a particular focus on conditions that affect children.
The desired candidate must have a terminal degree (PhD) in computational biology, computer science, statistics, mathematics or related field with a strong understanding of biology. The postdoctoral fellow will be responsible for development of novel computational algorithms and integrative analysis of high-dimensional datasets, focused on generating insights into how mutations in regulatory DNA sequences contribute to oncogenesis.
EDUCATION AND EXPERIENCE:
•PhD in computational biology, computational science, statistics, or mathematics, engineering, genomics/genetics or related fields
•UNIX/LINUX and high performance computing experience
•Exhibited knowledge of statistics and probability important to bioinformatics research
•Proficiency in R or similar commonly used statistical languages
•Basic proficiency with Python, Perl, or other languages
•Strong understanding of cancer molecular biology and genetics
The University of Massachusetts Medical School (UMASS Medical) is a group of diverse businesses that make a significant contribution and impact in higher education, medical research, healthcare consulting/delivery and biotechnology throughout the commonwealth and the world.
GENERAL SUMMARY OF POSITION:
Under the general direction of a member of the faculty or designee, the Bioinformatician III is responsible for developing novel algorithms and scientific software applications as well as providing bioinformatics data analysis support for research projects.
- Enhance/Maintain Bioconductor packages developed in house
- Develop rapid prototypes and custom scripts for one-off type of analysis requests
- Master’s degree in Computer Science, a related computational discipline, or equivalent experience
- 2 years bioinformatics-related research experience
- Proven research record such as co-authorship on peer-reviewed publications required
- Strong background in programming. Fluent in one programming language (Java or C/C++) and one scripting language (shell, Perl or Python)
- Knowledge in biostatistics packages (R or Matlab) and SQL queries are strongly suggested
- Strong communication skills, both the oral and written necessary to interact with a wide range of individuals
- PhD degree in Bioinformatics, Computer Science, Statistics or related discipline preferred R/Bioconductor package developer/maintainer/users
- Algorithm development experience
Posted on April 02, 2018
Postdoctoral Researchers – Bioinformatics and Computational Biology
We are seeking to fill positions for two postdoctoral researchers in the domain of bioinformatics and computational biology at the Computational Bioscience Research Center at King Abdullah University of Science and Technology.
The researchers will work in the Knowledge Mining Lab of Prof. Vladimir Bajic (http://apptrkr.com/1180358). The group works heavily on the analysis of biomedical data and has strong collaborations links. The postdoctoral researchers will work on the development and application of Artificial Intelligence and signal processing, as well as conventional bioinformatics methods in bioinformatics and computational biology, aiming at extracting useful information from various biomedical data with a particular focus on systems biology approaches.
– A completed PhD and Master degree in a relevant field (Computer Science, Engineering, Physics, Chemistry, Biology, or similar), completed in the last 4 years.
– Proficiency in spoken and written English.
– Programming experience and experience in software development.
– Experience, demonstrated by a publication record, in the relevant areas.
To apply, please send your detailed CV, a list of publications, and a letter of motivation combined in a single pdf document by email to: firstname.lastname@example.org (cc to: email@example.com ). Applications with documentation in multiple files will not be considered.
Postdoctoral Researcher: Bioinformatics
Postdoctoral–level post in bioinformatics and computing, developing and curation of software and websites/webservers and databases, creating new structural biology analysis methods, and user liaison via electronic (and in-person) methods. The postholder will specifically also contribute to the design and operation of the PCDDB (Protein Circular Dichroism Data Base), as well as to collaborating on version control.
- A PhD in bioinformatics, computational biology, computer science, structural biology or other related subject.
- Familiarity with a range of computing languages; ability to write in JAVA and at least one upper level programming language is required.
- Expertise in use and creation of databases, software and websites
- Familiarity with bioinformatics techniques
- Knowledge of structural biology, especially protein and nucleic acid structures
Posted on March 30, 2018
Postdoctoral Fellowship on The Genomics of Fungal Adaptations
A two-year postdoctoral fellowship on comparative genomics of Podaxis fungi is available from July 1, 2018 at the Section of Ecology and Evolution within the Department of Biology at the University of Copenhagen, Denmark. The fellowship will be part of a four-year research project titled “Solutions to Extreme Life in a Global Fungus”, financed by The Danish Council for Independent Research | Natural Sciences to Associate Professor Michael Thomas-Poulsen. The project will be based at excellent research environment of the Centre for Social Evolution (http://socialevolution.ku.dk/home/), with Thomas-Poulsen as main advisor and Professor Nina Gunde-Cimerman from the University of Ljubljana as co-advisor.
Postdoctoral Research Fellow in Computational Biology
The Wall Lab in the Department of Pediatrics, Division of Systems Medicine, and Department of Biomedical Data Science at Stanford University seeks a talented, highly motivated researcher with a background in computational genomics. The main project of the Lab is to identify genetic risk factors in Autism Spectrum Disorder with whole genome sequencing (WGS) data sets and associated phenotypes.
- To lead in the development of computational tools and resources/databases to analyze whole genome data sets, especially for non-coding region analysis.
- To provide bioinformatics resources to the members of the Lab.
- To monitor and evaluate analytical aspects of new and emerging technologies.
- Ph.D. in computational biology/genomics or related discipline.
- Proven understanding and experience in WGS pipelines, analyses, and databases.
- Experience with WGS analysis tools: BWA, GATK, etc.
- Experience with Linux/Unix/HPC environment.
- Programming skills with proficiency in Python, Java, and/or R.
Posted on March 28, 2018
Postdoctoral Fellow in Cancer Genomics
City of Hope, an innovative biomedical research, treatment and educational institution with over 5,000 employees, is dedicated to the prevention and cure of cancer and other life-threatening diseases and guided by a compassionate, patient-centered philosophy.
A POSTDOCTORAL FELLOW is available immediately in the lab of Dr. Andrea Bild (http://bildlab.org/; https://www.cityofhope.org/andrea-bild ) at the City of Hope Cancer Institute, CA in the field of cancer genomics. We are seeking researchers to work with a multi-disciplinary team in a creative and collaborative environment consisting of computational and lab biologists, as well as physicians, to develop computational approaches to understand the progression and metastasis of breast and ovarian cancers from unique clinical samples. We are funded as one of nine U54 NCI Cancer Systems Biology Consortium centers in the US, and have extensive collaborations across the country (https://www.cancer.gov/about-nci/organization/dcb/research-programs/csbc).
The successful applicant will have experience in working with next generation sequencing data (e.g. somatic variants, gene expression, copy number) to dissect the molecular drivers of the disease. Experience with single cell analysis is a plus. To join our group, we are looking for highly motivated individuals that have demonstrated scientific productivity, excellent communication skills, and the capacity to conduct independent research. We are interested in applicants with a Ph.D. in Bioinformatics, Computer Science, Statistics, or comparable experience.
Our Client is a dynamic Irish life sciences company leading research programmes on the human genome to examine the relationship between genetics, health and disease. This role will provide an opportunity for the right candidate to work in an exciting scientific and knowledge environment and an opportunity to grow scientifically with experienced and knowledgeable individuals across multiple areas of the company. There will be interaction with many international players in the ’omics field and authorship in high profile publications. You can be part of an exciting science and knowledge driven company in the fast moving and exciting field of biomedicine.
The Bioinformatics Team will analyse the ‘omics data produced, which currently includes a wide range of disease cohorts. The Bioinformatics Team will interact with the Company’s very strong IT infrastructure, clinical partnerships and research teams, which facilitate and provide an integrated framework for their bioinformatics analysis.
- PhD in Bioinformatics or Genomics
- BSc/MSc/PhD in Computer Science/Mathematics/Statistics
- Knowledge of rare, neurological, auto-immune or oncological disease research
- Knowledge of analysis of genetic causes of disease
- Knowledge of statistical genetics
- Knowledge of Bioinformatics ‘omics and big data analysis
Posted on March 26, 2018
Postdoctoral position in Computational Biologist
A postdoctoral position for a computational biologist is available in the interdisciplinary lab of Dr. Golnaz Vahedi. The Vahedi laboratory is part of the Department of Genetics, Perelman School of Medicine at the University of Pennsylvania. We are also a member of the Institute for Immunology (https://goo.gl/Vi2jAP) and a core member of the Epigenetics Institute (https://goo.gl/GnaZdx). Our laboratory is multidisciplinary, integrating computational and experimental approaches to develop a single to collective cell understanding of gene regulation in immune cells.
We blend epigenomics, human and mouse genetics, immunology, and computational biology to pursue a new understanding of gene regulation in the immune system. We use bulk assays including ChIP-seq, ATAC-seq, and chromatin conformation assays such as HiChIP, in addition to cutting-edge single-cell assays such as single-cell (sc)ATAC-seq and scRNA-seq. We take advantage of natural genetic variations in multiple strains of mice as an in vivo mutagenesis screen to assess the genome-wide effects of sequence variations on transcription factor binding, epigenomics and transcriptional outcomes in primary T cells.
Candidates are required to hold a PhD in computer science, engineering, bioinformatics or related areas. Expertise in machine learning and statistics in addition to programing in Python and R in a Unix environment is required. Experience in genomics and epigenomics will be viewed favorably. Preference will be given to candidates with demonstrated experience in analyzing genome-wide chromatin conformation or single-cell genomics data sets.
Post-Doctoral Research Fellow, Statistical Method Development
At Fred Hutchinson Cancer Research Center, home to three Nobel laureates, interdisciplinary teams of world-renowned scientists seek new and innovative ways to prevent, diagnose and treat cancer, HIV/AIDS and other life-threatening diseases. Fred Hutch’s pioneering work in bone marrow transplantation led to the development of immunotherapy, which harnesses the power of the immune system to treat cancer. An independent, nonprofit research institute based in Seattle, Fred Hutch houses the nation’s first cancer prevention research program, as well as the clinical coordinating center of the Women’s Health Initiative and the international headquarters of the HIV Vaccine Trials Network.
Biostatistics, Bioinformatics and Epidemiology at Fred Hutch is seeking a Postdoctoral Research Fellow to work with Dr. Ollivier Hyrien, Ph.D., http://www.fredhutch.org/en/labs/profiles/hyrien-ollivier.html, to conduct methodological research related to the analysis of high-throughput and high-dimensional data.
PhD or equivalent degree in biostatistics, statistics, computational biology, computer science, or related fields; strong theoretical background and programming skills; strong oral and written communication skills; strong independent problem solving skills. Experience with methods for large data sets, high-dimensional data, non- and semi-parametric, machine learning, and/or finite mixture models is a plus, but not a requirement.
Posted on March 23, 2018
Post-Doctoral Researcher in Systems Biology
The Leibniz Institute for Natural Product Research and Infection Biology – Hans Knöll Institute – (HKI, www.leibniz-hki.de) investigates the pathobiology of human-pathogenic fungi and identifies targets for the development of novel antibiotics. The Research Group Systems Biology and Bioinformatics (SBI) invites talented and highly gifted candidates to apply for a Post-Doctoral Researcher (m/f) (Systems Biology) starting on 1st of July 2018 for two years initially with a possibility of extension.
The successful candidate will work in the domain of bioinformatics related to infectious diseases. The SBI group uses a multidisciplinary approach, including genomic/transcriptomic/proteomic data integration and modelling, network biology, exome sequencing, metagenomics and GWAS to develop novel therapeutic treatments for infectious diseases. SBI is active participant of several national collaborative efforts to tackle infectious diseases such as the Jena School for Microbial Communication, the Centre for Innovation Competence CIC Septomics, the Centre for Sepsis Control and Care and most importantly the only Collaborative Research Center in the field of fungal infectious diseases, CRC/TR 124 FungiNet.
A strong interest in conducting collaborative research on the topic outlined above is paramount. Candidates are expected to be interested in working at the boundaries of several research domains.
- PhD degree in Systems Biology, Computational Biology, Bioinformatics, Biophysics, Computer Science or a related discipline
- Documented knowledge and experience in the analysis of biological high-throughput data is a requirement
Complete applications in English should include a CV, certificates, transcripts, a brief statement of research experiences and interests and the contact details of two possible referees, and should be submitted by May 15, 2018 via the online application system of the HKI.
POSTDOCTORAL FELLOW POPULATION ANALYTICS
Janssen Research & Development, LLC, a member of Johnson & Johnson’s Family of Companies, is recruiting a Postdoctoral Fellow in Population Analytics. Janssen Pharma R&D seeks an innovative postdoc with expertise in statistical and computational techniques including experience managing and analyzing big data to support our pharmaceutical and/or biomedical research, drug discovery and development. He/she will be part of the Computational Sciences group in the Discovery Sciences organization within Janssen Pharma R&D.
The postdoc will span two years, with the possibility of an additional year. The postdoc will participate in training and development sessions & workshops such as the global Janssen Postdoc Program, as well as attend and present at external conferences. He/She will receive guidance and mentoring to participate and contribute to ongoing efforts focused on the search for safe and effective therapies. The goal is to help him/her integrate into and develop an understanding of the pharmaceutical environment, develop skills needed for maximizing potential and network within our enterprise.
- Candidates must be enrolled in an accredited college/university pursuing a Ph.D. in computational sciences, mathematics/ statistics, biostatistics, epidemiology, genetics/ genomics, or bioinformatics.
- Strong computing and data management skills are required.