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Job Details

Bristol Myers Squibb

Senior Scientist Computational Biology (R1557065-en-us)

Science and Research




Brisbane, California, 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.

We seek a talented scientist to combine multi-modal data (genetics, omics, imaging, EHR) to enable the development of new therapeutics in partnership with the Immunology, Cardiovascular, and Fibrosis Thematic Research Center (ICF TRC). In this role, the successful candidate will design and apply computational pipelines to nominate novel drug targets, and guide pre-clinical drug development decisions. A key focus of this role will be to design and execute integrative analyses of large biobank-scale genetic data with complimentary multi-modal omics data to predict disease risk and/or characterize disease subtypes.

The successful candidate will be an important member of ICF Predictive Sciences in the globally distributed Informatics & Predictive Sciences (IPS) department. This department is involved in collaborative bioinformatics, computational biology, and patient selection research alongside colleagues in the Research & Early Development (R/ED) organization.

The position offers an exciting opportunity to make a difference in lives of patients, gain industry experience, and interact with the broader scientific community through multi-partner collaborations (e.g. Open Targets, FinnGen, UK Biobank). The successful candidate will also be encouraged to publish their work and to present at external meetings and conferences.

  • Design and perform analyses to infer causal mechanisms driving cardiovascular and fibrotic diseases integrating multi-modal data (genetics, omics, imaging, EHR)

  • Provide data-driven input on experimental design for target identification and validation efforts (e.g. patient population, relevant cell types, assay read-outs, and/or appropriate genetic perturbations).

  • Connect therapeutic hypotheses to specific patient populations (e.g. using polygenic risk scores)

  • Work with internal and external partners (in academia and industry) to collect functional data and develop integrative methods to empower future discovery efforts in ICF.

  • Participate in and oversight of scientific report writing. Presentation of methods, results and conclusions to a publishable standard.

  • Communicate findings in multiple settings (including 1:1, seminars, group, and project meetings)

Background experience
  • A Ph.D. in genomics, genetics, bioinformatics, or a related field and 2 + years relevant experience preferred

  • Proficiency with at least one high-level programming language (R, Python, C/C++) for complex data analysis and reproducible research practices

  • Expertise in statistical genetics, especially experience with GWAS/QTL integration, Mendelian randomization, polygenic risk scores

  • Demonstrated ability of contributing to and helping advance multi-disciplinary team projects

  • Strong communication, data presentation, and visualization skills

  • Track record of excellent interpersonal and communication skills, including ability to provide concise summaries of complex data to empower decision making.

  • Background knowledge in cardiovascular diseases (heart failure, and fibrosis) preferable

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 to access our complete Equal Employment Opportunity statement.

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