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Project Short Consulting

Project SHORT (Student Health Opportunities and Research Training) is an organization comprised of volunteer MD, PhD, and MD/PhD students who offer pro-bono consulting for medical and graduate school admissions.


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  • Senior Scientist, Computational Biology


    Graduate Students, (Non-Post-Doc) Working Professionals

    We are seeking a collaborative and innovative scientist to join the Predictive Sciences group. As part of the Immunology, Cardiovascular, & Fibrosis (ICF) Computational Biology team, you would be responsible for helping advance Bristol Myers Squibb’s ICF pipeline through the application of bioinformatics, machine learning, network analysis, and statistics approaches on omics data sets. You would help design experiments and conduct analyses to nominate novel drug targets, enable patient enrichment strategies, and guide pre-clinical drug development decisions. You would communicate with colleagues across the organization and influence R&D at BMS, from target discovery through early-stage development.


    Collaborate with teams of multi-disciplinary scientists to define and execute analysis plans to address scientific questions using internal and external omics datasets
    Develop computational models and tools to enable data-driven target prioritization
    Drive implementation of predictive models that can illuminate biological mechanisms and enable patient stratification
    Communicate findings and recommend follow up actions in multiple settings (including 1:1, seminars, group, and project meetings)

    Ph.D. in bioinformatics, computational biology, engineering, statistics, molecular biology, immunology, genetics, or similar
    Demonstrated ability of contributing to and helping advance multi-disciplinary team projects
    Proficiency with at least one high-level programming language such as R or Python for complex data analysis and reproducible research practices
    Experience analyzing high-dimensional molecular datasets such as RNA-Seq, Exome and Whole Genome Sequencing, single-cell sequencing, high-throughput proteomics, and multiplex flow cytometry
    Working knowledge of statistical tests and machine learning algorithms and their application to health care datasets
    Scientific curiosity with an ability to identify questions bioinformatics approaches can address, and the skills to develop solutions both independently and collaboratively
    Strong communication, data presentation, and visualization skills
    Background in ICF diseases (e.g. autoimmune diseases, heart failure, and fibrosis) and/or experience working with clinical trial data is a plus

  • Bioinformatics Consultant


    Post-Docs, (Non-Post-Doc) Working Professionals, Other

    Diamond Age Data Science partners with fast-moving biotech and pharmaceutical companies to drive innovation through bioinformatics. It’s an exciting time at Diamond Age: our expertise is in demand, our engagement pipeline is full and our organization and team are growing!

    Diamond Age has immediate opportunities for experienced computational biologists and senior computational biologists, whether formally trained in a MS or PhD Bioinformatics program or informally trained by extensive experience doing computational science and engineering.

    We offer a flexible remote work schedule, exciting scientific and engineering projects, a work environment of respect and mutual support, growth opportunities as the organization grows and competitive compensation commensurate with experience.

  • Senior Scientist I/II, Bioinformatics


    Graduate Students, Post-Docs, (Non-Post-Doc) Working Professionals

    The Genomics Research Center (GRC) is a center of excellence for bioinformatics, functional genomics, human genetics, pharmacogenomics and multiple population cohorts (over 1 million genomes) and works across all R&D, and other areas such as process sciences and corporate strategy. The GRC plays an integral role towards our goal of developing world class genetics and genomics research, focusing on finding the right targets and helping us better understand not only human disease biology but also the behavior of and response to our drugs in clinical trials.

    Within the GRC, the Department of Computational Biology drives research by data analysis and data integration with Discovery and Development in activities such as the identification and validation of new targets, elucidating underlying biological mechanisms for disease development and progression, translational research, and patient stratification.

    We have an exciting opportunity for a Senior Scientist based in North Chicago, IL. This role involves the utilization of population scale genomic, pharmacological, and health databases to help uncover, understand, and refine potential or existing drug targets.

  • Senior Scientist I/II, Computational Biologist, Neuroscience


    Graduate Students, Post-Docs, (Non-Post-Doc) Working Professionals

    At AbbVie the Genomics Research Center (GRC) is a center of excellence for genetics and genomics that supports both Discovery and Development. Within the GRC, the Department of Bioinformatics/Computational Biology is responsible for data analysis and provides analytical insights for both internal and external data. AbbVie’s Neuroscience Discovery advances research to identify novel therapeutic approaches for neurodegenerative disorders like Alzheimer’s and Parkinson’s Disease.

    We have an exciting opportunity for a Computational Biologist/Bioinformatician, based in Cambridge, MA embedded in Neuroscience Discovery. The successful candidate will work closely with bioinformatics and wet-lab groups in Cambridge (MA), Ludwigshafen (Germany) and North Chicago (IL) to contribute to target and biomarker identification, validation, and project advancement by OMICS data analysis.

  • Bioinformatics Trainer and Analyst


    (Non-Post-Doc) Working Professionals

    The Harvard Chan Bioinformatics Core is excited to expand our bioinformatics training program as part of a new collaboration with the Dana-Farber / Harvard Cancer Center (DF/HCC). We are looking for a bioinformatician to join our team in our efforts to provide education and analytical support to the Harvard community. The ideal candidate is enthusiastic about teaching (as demonstrated by their teaching experience), enjoys working in a collaborative environment, and has a background in high-throughput data analysis, specifically for next-generation sequencing (NGS) data. This role provides a unique and rewarding opportunity to train and support world-class researchers making a profound impact on human health.

  • Bioinformatics Scientist


    Graduates/Post-Baccs, Graduate Students, Post-Docs, (Non-Post-Doc) Working Professionals

    Fulcrum Genomics partners with a diverse set of clients in genomics and biology from small startups to large life science and pharmaceutical companies, and anyone in between who has an interesting biological problem to solve. We are industry recognized experts in Bioinformatics and work with clients who are leaders in their fields. We build tools, pipelines, and systems to generate insights from biological data by applying and inventing cutting edge scientific methods and algorithms. We are seeking a highly motivated contributor to join our growing team as a Bioinformatics Scientist.

  • Scientific Software Developer (RCSB PDB @ Rutgers)


    Graduate Students, Post-Docs, (Non-Post-Doc) Working Professionals

    We are looking for a full-stack developer with a minimum of five years experience using modern database and web technologies. The candidate should enjoy engaging with other developers and scientists in a collaborative team environment.

    The work at the PDB focuses on data analysis and transformation, and the presentation and visualization of data using complex interactive graphical user interfaces. An important aspect of the work is to provide our users with the ability to search and explore the data in the PDB Archive. Solutions are implemented using a wide range of custom components developed and maintained at the RCSB PDB, in addition to third-party tools, libraries, frameworks and technologies.

    The candidate should be comfortable working in a fast-changing environment, and be able to demonstrate an ability to think creatively, generate new ideas, and implement solutions. The candidate should also show an eagerness and willingness to learn new skills and master new technologies.

    The team at RCSB consists of a group of highly-skilled bio-curators, scientists, software developers, designers, and educators, working in a lively and fast-paced environment.

    The successful candidate will be able to take full advantage of the benefits of working at an academic institution. Employees are encouraged to engage in professional development, either by attending seminars and training workshops, or by enrolling, tuition-free, in courses provided by Rutgers.

    Ideally the candidate should have in-depth experience with several of the following technologies, languages, and frameworks, or have experience with comparable or related technologies:

    Relational and document databases (MySQL, MongoDB), search tools (ElasticSearch, GraphQL), Java, Python, Javascript, JSON, React/Redux, Node.js, JQuery, HTML, Git, shell scripting, use of modern IDEs.

    Any scientific background would be considered a plus, especially experience in any of the following areas: Molecular Biology, Bioinformatics, Biochemistry, Chemistry, Genomics. Experience working with large and complex scientific datasets would also be a plus.

    While a scientific background is not a requirement for the position, the candidate should be able to demonstrate a willingness and ability to engage with scientists and scientific content, and be interested in working in an academic/research environment.
    Job Description

    Responsibilities for this position will include:

    Design, development and deployment of modern, scalable, reusable web-applications.
    Analysis, refactoring and adaptation of legacy code to conform to new architecture designs.
    Development of complex interactive graphical user interfaces.
    Debugging, testing, troubleshooting.
    Use of and development of automated testing suites.


    Masters or B.Sc degree in Computer Science, Biochemistry, Bioinformatics, or a related discipline, or a comparable combination of education and experience developing modern Scientific Web applications.
    Excellent interpersonal, verbal and written communication skills.

  • Scientific Software Developer (RCSB Protein Data Bank @ UCSD)


    Post-Docs, (Non-Post-Doc) Working Professionals

    The RCSB PDB is seeking a Scientific Software Developer with skills as a seasoned, experienced bioinformatics programming professional and a broad understanding of computational algorithms.

    The incumbent will develop, implement, and maintain complex scientific and web-based software systems for the RCSB Protein Data Bank (PDB; at the University of California San Diego (UCSD).

    The Scientific Software Developer will work closely and collaboratively with other software developers and scientists at the San Diego Supercomputer Center (SDSC) and the RCSB PDB partner sites to expand's functionality and reliability as a premier biological data and information resource. S/he will develop new scalable algorithms for the mining and analysis of the rapidly growing PDB archive using leading edge Big Data technologies, design and implement user interfaces for the query, analysis, reporting, and visualization of 3D structural information and associated annotations, as well as integrate external database resources with RCSB PDB to provide a structural view of biology. The incumbent will help lead the design of databases and data warehouses to store and aid in the query of data and be actively involved in the software development process, maintenance and system standards for analysis algorithms, tools, and infrastructure.

    Additionally, the incumbent will serve as an expert on relevant scientific and technical aspects of the various web, web services, and database components of the RCSB PDB. S/he will stay abreast of the latest development in structural and computational biology and new technologies, apply advanced bioinformatics concepts to design, develop, modify, debug, and evaluate highly complex software programs and web tools, and translate scientific problems into scalable and maintainable software solutions that meet end-user needs. The incumbent will also further science through Scientific Publications, written in collaboration with our team.

  • Postdoctoral Researcher (Scientific Software Developmer) at UCSD/SDSC


    Graduate Students, Post-Docs

    We are seeking a talented, highly motivated postdoctoral researcher to join the multidisciplinary team of the RCSB Protein Data Bank at UC San Diego, San Diego Supercomputer Center (SDSC).

    The successful applicant will work on research projects that drive next generation search tools at Dealing with redundancy within the Protein Data Bank (PDB) is an important challenge in face of the ~10% year-on-year growth in structural data stored in the PDB. Tackling the redundancy problem requires understanding of similarities and differences among macromolecules at many different levels. She/he will be expected to contribute to this project by devising new and improved algorithms for protein family classification at levels such as biological assemblies. The ultimate aim of this project is to improve the findability of data in the PDB by building the next generation search engine for structural molecular biology.

    Note, this position is reviewed annually on the basis of performance and can be renewed.

    Qualifications: Ph.D. in one of the following research areas

    Computer Science with a focus on Bioinformatics
    Structural Bioinformatics, or related field with a focus on software development
    Structural Biology with a focus on software development


    Demonstrated proficiency in a high-level programming language, such as Java, Python, C++, and experience with state of the art software engineering tools.
    Strong skills in problem solving and algorithm design are required.
    A background in NoSQL database technologies would be beneficial.
    Experience in development of modern web applications, user interface design, or scientific visualization would also be a plus.
    We expect candidates to have shown high productivity demonstrated by publications and contributions to open source software projects.
    Excellent written and oral communication skills are required.

    More at

  • SCIENTIST, Computational Biology At Denali Therapeutics


    Graduate Students, Post-Docs, (Non-Post-Doc) Working Professionals

    Denali Therapeutics is dedicated to developing breakthrough therapies for neurodegenerative diseases through our deep commitment to degeneration biology and principles of translational medicine.
    The Opportunity
    Recent breakthroughs in identifying the genetic causes underlying neurodegenerative diseases offer an opportunity for the discovery and development of effective treatments for Alzheimer’s disease, Parkinson’s disease, Amyotrophic Lateral Sclerosis (ALS) and other neurodegenerative diseases.
    To translate these genetic insights into actionable drug targets and novel biomarkers, we are seeking a Computational Biologist to join Denali at our headquarters in South San Francisco, California.
    A successful candidate will analyze and integrate data from multiple domains (including Genetics, Transcriptomics, Metabolomics, Proteomics at the tissue and single-cell levels), and employ rigorous computational methods to prioritize and validate biomarkers of disease progression, target engagement, pathway modulation and for deep patient phenotyping.

    You will contribute to defeating neurodegeneration by
    • Becoming the subject matter expert on large internal and external multi-omics datasets from human cohorts and in vivo models of neurodegeneration.
    • Defining multivariate predictors of disease status, progression and treatment response.
    • Leveraging observational data for biomarker discovery & validation, including rigorous quality assessment and critical assessment of potential confounders.
    • Designing data analysis strategies, implementing them using reproducible workflows, and interpreting the results.
    • Collaborating with Scientists from diverse fields, e.g. Translational Sciences, Genomics, Biology, Statistics, Toxicology and Clinical Sciences.
    • Communicating your findings to specialists and non-specialists on cross-functional teams, and the broader research community through presentations and publications.
    • Identifying opportunities for public-private partnerships, e.g. by representing Denali within consortia that generate data on large human cohorts.

  • Non-Tenure Track Assistant Teaching Professor Positions at SCIS FIU


    Graduate Students, Post-Docs, (Non-Post-Doc) Working Professionals

    The School of Computing and Information Sciences seeks exceptionally qualified candidates for multiple non-tenure track faculty positions at the level of Assistant Teaching Professor. Ideal candidates must be committed to excellence in teaching a variety of courses at the undergraduate level. Candidates who employ innovative, evidence-based teaching pedagogies are particularly encouraged to apply. A Ph.D in Computer Science or related disciplines is required; significant prior teaching and industry experience in Computer Science is preferred.
    Qualified candidates are encouraged to apply to Job Opening ID 522542 at and attach cover letter, curriculum vitae, statement of teaching philosophy, research statement, etc. as individual attachments. Candidates will be requested to provide names and contact information for at least three references who will be contacted upon as determined by the search committee. Review will continue until position is filled. All applications received by January 4, 2021 are guaranteed consideration.

    SCIS is strongly committed to increasing the diversity of our faculty and welcomes applications from women, dual-career couples, historically underrepresented populations and candidates with disabilities.
    Our job ad is here:

  • NSF-funded postdoctoral position in Statistics and/or Machine Learning applied to microbial datasets


    Graduate Students, Post-Docs

    The Maude David Lab at Oregon State University is recruiting a postdoc for an opportunity to work on an NSF funded project titled " “Defining the ecological and genomic properties that underly microbiome sensitivity and resilience”. This project aims to define the unifying principles and properties that describe a microbiome sensitivity and resilience to environmental changes using multivariate statistical analysis and deep learning methods on metagenomics and multiomics data. We seek a motivated postdoctoral researcher with a background in statistics, data science, machine learning, or working with microbial datasets. The start date is flexible but we would like to welcome our new lab member by Summer 2021! More information can be found at the link provided.

  • Senior computational biologist


    Post-Docs, (Non-Post-Doc) Working Professionals

    Senior comp bio/bioinformatics research scientist position on a small team of computational scientists at a pharma company in Seattle. Team includes expertise in protein structure prediction and design, next gen sequencing and multi-omics integration, image analysis and translational research. Seeking to hire several computational scientists across various areas of expertise. Work closely with biologists to design and interpret experiments in early drug and bio marker discovery and validation. Please email me for an employee reference or to learn more about the team.

  • Open-Rank Tenure Track/Tenured Positions (Job ID# 522500)


    Undergraduates, Graduates/Post-Baccs, Graduate Students, Post-Docs, (Non-Post-Doc) Working Professionals, Other

    Open-Rank Tenure Track/Tenured Positions (Job ID# 522500)

    FIU’s School of Computing and Information Sciences (SCIS) is a rapidly growing program of excellence at Florida International University (FIU). The School has 30 tenure-track faculty members and over 2,900 students, including 83 Ph.D. students. The School is engaged in on-going and exciting new and expanding programs for research, education, and outreach. The School offers B.S., M.S., and Ph.D. degrees in Computer Science and M.S. degrees in Telecommunications and Networking, Cyber-security, Data Science, and Information Technology as well as B.S./B.A. degrees in Computer Science, and BS in Cybersecurity and in Information Technology. NSF HERD report ranks FIU #42 in computer science research expenditures, top 30 in public research universities. SCIS has six research centers/clusters with first-class computing and support infrastructure and enjoys broad and dynamic industry and international partnerships.

    The School of Computing and Information Sciences encourages applications from exceptionally qualified faculty at all levels in all research areas. Candidates with expertise in any area of Computer Science will receive full consideration, including areas that are interdisciplinary. Ideal candidates for junior positions should have a record of exceptional research in their early careers and a demonstrated ability to pursue and lead a research program. Candidates for senior positions must have an active and sustainable record of excellence in funded research, publications, and professional service as well as demonstrated leadership in collaborative or interdisciplinary research. In addition to developing or expanding a high-quality research program, all successful applicants must be committed to teaching excellence at both the graduate and undergraduate levels. Applications are also encouraged from candidates with highly transformative research programs that extend the frontiers of computing across disciplines. A Ph.D. in Computer Science or related disciplines is required.

    SCIS is strongly committed to increasing the diversity of our faculty and welcomes applications from women, dual-career couples, historically underrepresented populations and candidates with disabilities.


    Qualified candidates for Open-Rank Tenure-Track/Tenured faculty positions are encouraged to apply to 522500. Visit and attach cover letter, curriculum vitae, statement of teaching philosophy, research statement, etc. as individual attachments. Candidates are required to provide names and contact information for at least three references who will be contacted as determined by the search committee. Review will continue until the position has been filled.

  • Open-rank faculty position in computer science


    Graduate Students, Post-Docs, (Non-Post-Doc) Working Professionals

    This is a faculty position in the Department of Computer Science at the University of Maryland. The department has a strong computational biology group, associated with the Center for Bioinformatics and Computational Biology ( - a center that includes faculty from both computing and life sciences.

  • Assistant Professor of Teaching


    Graduate Students, Post-Docs

    The University of California, Davis invites applications for an Assistant Professor of Teaching position in quantitative biology education. The appointee will be expected to carry out a high-level teaching program focused on the development of innovative curricula and use of effective teaching methods in quantitative biology, to conduct scholarly research including rigorous development and assessment of teaching methods and curricula in quantitative biology, and to be committed to mentoring and fostering diversity, equity, and inclusion.

  • Postdoc In Statistical Genetics



    We are hiring postdoctoral researchers to join our statistical genetics group at the University of Chicago. We develop and apply computational methods to study genetic subtypes of disease, genetic heterogeneity, and pleiotropy. More broadly, the scope for this position spans any research ideas that use statistics/data science/machine learning to study genetic data.

    Our group benefits enormously from the statistical genetics community at UChicago. We share meetings with the groups of Profs Liu, Im, Berg, Novembre, He, and Stephens. We also enjoy several active collaborations with disease experts in the US and abroad.

    We are committed to ensuring a safe, friendly, and inclusive workplace for all lab members, regardless of personal background, nationality, race or ethnicity, religion, sex, gender identity, sexual orientation, age, veteran status, or medical condition. We especially encourage applications from groups traditionally underrepresented in STEM.

    Relocation to Chicago is flexible during the pandemic. The start date is flexible. The initial appointment is for one year, with the expectation that eventual renewal for additional years will be ideal for most applicants. The position can be renewed up to a maximum of five total active career years as a postdoc. Applications will be considered on a rolling basis.

    If you would like to discuss this position, please do not hesitate to send your CV and a recent manuscript to: andywdahl [at] uchicago [dot] edu.

  • Senior Scientist in Computational Biology


    Post-Docs, (Non-Post-Doc) Working Professionals

    We are recruiting for a computational biologist who is interested in supporting data coordination and management needs of large collaborative research communities. Experience with different data modalities is necessary, and experience with biomedical data analysis is preferred.

  • Computational Scientist I or II, Sequencing


    Post-Docs, (Non-Post-Doc) Working Professionals


    The Cancer Genomics Research Laboratory (CGR) investigates the contribution of germline and somatic genetic variation to cancer susceptibility and outcomes in support of the NCI's Division of Cancer Epidemiology and Genetics (DCEG), the world’s most comprehensive cancer epidemiology research group. CGR is located at the NCI-Shady Grove campus in Gaithersburg, MD and operated by Leidos Biomedical Research, Inc. We care deeply about discovering the genetic and environmental determinants of cancer, and new approaches to cancer prevention, through our contributions to the molecular, genetic, and epidemiologic research of the 70+ investigators in DCEG. Our bioinformaticians have both the passion to learn and the opportunity to apply their skills to our rich and varied short- and long-read sequencing datasets, generated in support of DCEG’s multidisciplinary family- and population-based studies. Working in concert with the epidemiologists, biostatisticians, and basic research scientists in DCEG’s intramural research program, CGR conducts targeted, whole-exome, and whole-genome sequencing studies, including analysis of germline and somatic variants, structural variation, copy number variation, metagenomics, transcriptomics, and more.


    We are seeking an enthusiastic, creative, and collaborative bioinformatics scientist to support pipeline development and analysis for our broad portfolio of sequencing studies. If you have experience designing and deploying robust, reproducible, production-quality pipelines, then come join our talented team of bioinformaticians dedicated to understanding the genetics of cancer!

    Develop and maintain robust, tested pipelines for a wide variety of sequencing applications, with an emphasis on scalability, portability, and thorough documentation
    Deploy pipelines to HPC and cloud environments
    Lead efforts to identify and benchmark new tools and resources as needed to keep analyses current
    Thoughtfully synthesize results into clear presentations and concise summaries of work to support recommendations for next steps
    Collaborate closely with DCEG PIs on scientific manuscript development, submission, and revision activities with significant co-authorship and potentially first authorship opportunities

    This position may be filled at the Computational Scientist I or II level.

    To be considered for this position, you must minimally meet the knowledge, skills, and abilities listed below:

    Possession of a Doctoral degree from an accredited college/university in bioinformatics, statistics, computer science, genetics, computational biology or related field. Foreign degrees must be evaluated for U.S equivalency.
    Computational Scientist I - no experience required beyond a Doctoral degree
    Computational Scientist II - a minimum of two (2) years of progressively responsible scientific and/or complex system management/bioinformatics experience
    Extensive pipeline development experience, including collaborative coding and use of source control (e.g. git)
    Experience with Snakemake, make, or other workflow management systems
    Experience with various environment/dependency management tools (e.g. pip, venv, conda, mamba) and containers (e.g. Singularity, Docker)
    Experience managing large datasets and computational tasks in a Linux-based high-performance computing environment
    Proficiency with Bash, Python, Perl, R, C/C++, and/or JAVA
    Team-oriented with excellent written and verbal communication skills, organizational skills, and attention to detail; ability to organize and execute multiple projects in parallel
    Demonstrated ability to proactively remain up-to-date in current bioinformatics techniques and resources, and identify and benchmark novel software solutions against established reference datasets

    Candidates with these desired skills will be given preferential consideration:

    Experience with software testing types including unit, integration, regression, and acceptance tests, as well as related packages (e.g. unittest, pytest, Test::More, TAP)
    Experience with CI/CD (GitLab CI/CD, Travis CI, CircleCI, etc.)
    Experience with documentation tools such as Sphinx or Doxygen
    Experience with Google Cloud, AWS, or managed cloud environments
    Familiarity with publicly available data sources and diverse genomic annotations (such as gnomAD/ExAC, ANNOVAR, VEP, snpEff, ClinVar, ClinGen, dbSNP, CIViC, COSMIC)
    Experience with databases (e.g. MySQL, FileMaker)
    Experience with machine learning

  • Computational Scientist (Associate/Full)


    Post-Docs, (Non-Post-Doc) Working Professionals

    A Computational Scientist position is open in the Banchereau lab at The Jackson Laboratory for Genomic Medicine. The selected scientist will work closely with all the members of the Banchereau lab on projects of wide-ranging complexity related to the human immune system including cancer immunotherapy, aging, autoimmunity, and vaccine responses. The lab is heavily using multi-omics approaches including Long-read sequencing to study splice isoforms and scRNAseq.

    The tasks are varied and include, but are not limited to, analyzing data, managing the 250 TB database, and helping lab members (interns, post-doctoral fellows, scientists) with research papers and grant writing. Successful candidates will have in-depth knowledge and experience in High Throughput Sequence (HTS) data analysis (DNA Seq, mRNA Seq), familiarity with High Performance Computing (HPC) environments, and job scheduling systems (Slurm) for conducting experimental design, data analysis, data integration, algorithm development, development of sequence analysis tools (bioinformatics programming), evaluation of analytical tools and technology, and delivering training to the new lab members.

    The ideal candidate is a continuous learner, self-starter, proactive contributor, and highly motivated by contributing to the betterment of human health. They are expected to have an increased ability to work independently, critically analyze data, and to provide expert reasoning. The candidate is expected to provide leadership in grant applications as Co-Investigator or Bioinformatics Analyst in a significant scientific program. The ideal candidate will have a proven track record of “omics” data analysis, preferably, in the field of immunology.

    This position is based in Farmington, CT which is located between Boston and New York. The candidate will work in an exciting and dynamic environment, with numerous opportunities to interact with other experts in the Computational Sciences, Information Technology, Genomic Technologies, and Single Cell departments at The Jackson Laboratory.

    Carry out Computational analysis of omics data, algorithm implementation as well as bioinformatics programming, expert reasoning, and leadership for the projects of the Banchereau lab. Evaluate data for quality assurance and mining bioinformatics databases.
    Ensures the data quality of the Banchereau lab
    Provide leading contributions to grant applications, mentoring/supervising lab interns and assisting other lab members.
    Associate level: PhD in Bioinformatics, Computer Science, Biostatistics or related field. Candidates who are near the completion of their PhD can also apply. Minimum of two (2) years of experience in Bioinformatics research, excluding time spent to obtain PhD.
    Full level: PhD is required with a concentration in Bioinformatics, Computer Science, Biostatistics or related field. Minimum of five (5) years of experience in Bioinformatics research, excluding time spent to obtain PhD
    Successful demonstration of excellent verbal and written communication skills.
    Demonstrate experience in managing projects, mentoring lab members, and managing collaborations.
    Prior successes in and desire to contribute to team projects is expected.

    The Jackson Laboratory provides equal employment opportunities to all employees and applicants for employment in all job classifications without regard to race, color, religion, age, mental disability, physical disability, medical condition, gender, sexual orientation, genetic information, ancestry, marital status, national origin, veteran status, and other classifications protected by applicable state and local non-discrimination laws.

    Learn more about career opportunities at JAX:

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