Senior Scientist, Computational Biology

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.
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We are seeking a collaborative and innovative scientist to join the Immunology, Cardiovascular, & Fibrosis (ICF) Computational Biology team. You would be responsible for helping advance Bristol Myers Squibb's cardiovascular 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.
Responsibilities:
- Represent the Computational Biology team for cardiovascular translational research activities
- Collaborate with teams of multi-disciplinary scientists to define and execute analysis plans to address scientific questions using internal and external omics datasets
- 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)
Qualifications:
- Ph.D. in bioinformatics, computational biology, engineering, statistics, molecular biology, immunology, genetics, or similar. Or MS plus additional relevant experience.
- Demonstrated ability to advance multi-disciplinary team projects
- Proficiency with at least one high-level programming language such as R or Python for 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 cardiovascular diseases (e.g. heart failure, cardiomyopathies, etc.) is a plus
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.
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 any part of the recruitment process direct your inquiries to adastaffingsupport@bms.com. Visit careers.bms.com/eeo-accessibility to access our complete Equal Employment Opportunity statement.
Company: Bristol Myers Squibb
Req Number: R1534698
Updated: 2021-06-12 02:29:58.379 UTC
Location: Princeton,New Jersey
Bristol Myers Squibb is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, pregnancy, citizenship, marital status, gender expression, genetic information, political affiliation, or any other characteristic protected by law.