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Job Details

Bristol-Meyers Squibb, Co.

Scientist, Computational Genomics



Full Time

On Site


Princeton, New Jersey, United States

At Bristol Myers Squibb, we are inspired by a single vision – transforming patients’ lives through science. In oncology, hematology, immunology and cardiovascular disease – and one of the most diverse and promising pipelines in the industry – each of our passionate colleagues contribute to innovations that drive meaningful change. We bring a human touch to every treatment we pioneer. Join us and make a difference.

The Computational Genomics group, which is part of Translational Bioinformatics in Informatics & Predictive Sciences, is made up of both scientists and engineers, who help advance Bristol-Myers Squibb’s industry-leading pipeline in multiple therapeutic areas (including Immuno-Oncology, Cardiovascular, Fibrosis, and Immunoscience) through the strategic application of cutting-edge bioinformatics approaches. Computational Genomics interacts with and influences all aspects of R&D at BMS, from early discovery through late-stage clinical development.

The scientists in Computational Genomics work with other groups to analyze real-world health data, design experiments and analyze both pre-clinical and clinical -omics data sets, including RNA-Seq, Exome, Whole Genome, single-cell sequencing and high-throughput proteomics to help nominate novel drug targets, enable patient enrichment strategies and guide drug development decisions. The Computational Genomics group also works with scientists across the organization to help develop and maintain the NGS pipelines and infrastructure necessary to support the scientific programs.

We are seeking an innovative scientist to join our Computational Genomics group. Ideally, the individual for this role would be able to function as an independent scientist in new method development to support ongoing scientific research as well as deploy and maintain pipelines across various platforms.


  • Develop and maintain various CWL-based NGS pipelines used for both R&D and clinical applications.
  • Develop and maintain NGS infrastructure to support our in-house CWL framework and downstream data warehouses.
  • Establish best practices for various NGS-based workflows.
  • Collaborate/Partner with scientists across the organization to integrate NGS data to advance scientific programs.
  • Communicate NGS best practices across all relevant teams.


  • Bachelor's Degree in Bioinformatics, Computational Biology, Computer Science or another relevant field and 5+ years of academic / industry experience

  • OR Master's Degree in Bioinformatics, Computational Biology, Computer Science or another relevant field 3+ years of academic / industry experience

  • OR PhD in Bioinformatics, Computational Biology, Computer Science or another relevant field - No experience required

Skills/Qualifications Required:

  • Experience with CWL-based NGS workflows (including CWL and Docker)
  • Common NGS tools (samtools, picard, gatk, etc)
  • Fluent with Linux-based environments (bash), R, Python, git version control and other collaboration tools (Jira, Confluence).
  • Strong problem-solving and collaboration skills, and rigorous and creative thinking
  • Excellent written and oral communication skills, including an ability to explain complex ideas to computational scientists, experimentalists, and clinicians

Skills/Qualifications Preferred:

  • Data visualization with R/Bioconductor
  • Some statistics background
  • Machine learning (ML)
  • AWS cloud computing

Around the world, we are passionate about making an impact on the lives of patients with serious diseases. Empowered to apply our individual talents and diverse perspectives in an inclusive culture, our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues.

Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives.

Physical presence at the BMS worksite or physical presence in the field is an essential job function of this role which the Company deems critical to collaboration, innovation, productivity, employee well-being and engagement, and enhances the Company culture.

To protect the safety of our workforce, customers, patients and communities, the policy of the Company requires all employees and workers in the U.S. and Puerto Rico to be fully vaccinated against COVID-19, unless they have received an exception based on an approved request for a medical or religious reasonable accommodation. Therefore, all BMS applicants seeking a role located in the U.S. and Puerto Rico must confirm that they have already received or are willing to receive the full COVID-19 vaccination by their start date as a qualification of the role and condition of employment. This requirement is subject to state and local law restrictions and may not be applicable to employees working in certain jurisdictions such as Montana. This requirement is also subject to discussions with collective bargaining representatives in the U.S.

Our company is committed to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace adjustments and ongoing support in their roles. Applicants can request an approval of accommodation prior to accepting a job offer. If you require reasonable accommodation in completing this application or if you are applying to a role based in the U.S. or Puerto Rico and you believe that you are unable to receive a COVID-19 vaccine due to a medical condition or sincerely held religious belief, during or any part of the recruitment process, please direct your inquiries to . Visit[Register to View] target="_blank"> [Register to View] to access our complete Equal Employment Opportunity statement.

BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.

Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.