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Job Details

Bristol Myers Squibb

Senior Principal Scientist, Computational and Systems Biology

Science and Research



Cambridge, Massachusetts, United States

Working with Us
Challenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You’ll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams rich in diversity. Take your career farther than you thought possible.

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. Read more:

We seek a collaborative and highly innovative computational scientist to join our Predictive Sciences team to work on multi-omics perturbation data from compounds in our proprietary library to infer novel mechanism-of-action (MoA) and help build models, facilitating the design of new compounds with desired MoA.

This position will work alongside biology and chemistry colleagues and other global Informatics and Predictive Sciences (IPS) teams. The successful applicant will play a key scientific role in analyzing screening data from our compound library to infer their MoA and therapeutic effects on specific disease subtypes. This candidate will also work on developing methods to deepen our understanding of additional protein degradation machinery and work with the chemistry team to incorporate these findings to expand our compound library. This candidate will collaborate extensively with the machine learning and chemoinformatic team to build generative and predictive models to identify rules to design compounds with desired therapeutic effects. We seek a meticulous and scrupulous candidate passionate about learning a new drug discovery paradigm, bringing new medicines to the patients, and comfortable working in a fast-paced and highly collaborative environment.


  • Interrogate multi-dimensional compound profiling data from proteomics, transcriptomics, and phenomics screens to characterize compounds’ MoA.
  • Use the compound’s MoA to infer their therapeutic effects on specific disease sub-types and design experiments to validate their efficacy in the relevant pre-clinical models.
  • Work with other members of the Predictive Sciences team to nominate high-value targets and interrogate our compound library to identify compounds downmodulating them.
  • Develop methods to interrogate and deepen our understanding around additional mechanisms to degrade proteins and devise experimental strategies to validate it.
  • Devise screening strategies, guide screen execution, and develop corresponding data analytics
  • Collaborate with the machine learning team to design de novo molecules with desirable MoA profiles using generative AI approaches.
  • Work with informatics and compound management team to manage compound screen and high throughput assay datasets.
  • Associate MoA classes of a compound library to its chemical features to elucidate Structure-Activity Relationships.
  • Collaborate with internal and external partners to plan and execute various screening and validation strategies for drug discovery programs.
  • Author scientific reports and present methods, results, and conclusions to a publishable standard.

Basic Qualifications

  • Bachelor's Degree in computational biology, or systems biology with 10+ years of academic / industry experience and 2+ years of leadership experience.
  • OR Master's Degree in computational biology, or systems biology with 8+ years of academic / industry experience and 2+ years of leadership experience.
  • OR PhD in computational biology, or systems biology with 6+ years of academic / industry experience and 2+ years of leadership experience.

Preferred Qualifications

  • Ph.D. in computational biology, or systems biology with 8+ years of post-doctoral experience in applying computational and analytical approaches in university, pharma, or biotech settings, focusing on drug discovery or elucidating underlying disease pathology.
  • Working knowledge of drug discovery in pre-clinical or early-phase drug development using screening data from various high-throughput omics platforms.
  • Strong expertise in unsupervised machine learning and pattern recognition.
  • Ability to analyze and interpret data from multiple experimental assays and propose new biological hypotheses.
  • Demonstrated cross-discipline collaborations, particularly with chemo-informatics, machine learning, and wet-lab scientists.
  • Strong scientific understanding of molecular biology, preferably in Oncology.
  • Expertise in programming and scripting languages (R, Python, or Matlab).
  • Strong applied statistical background.
  • Proven problem-solving skills and ability to work independently.
  • Excellent verbal and written communication skills.

The starting compensation for this job is a range from $159,000-$185,000, plus incentive cash and stock opportunities (based on eligibility).

The starting pay rate takes into account characteristics of the job, such as required skills and the where the job is performed.

Final individual compensation will be decided based on demonstrated experience.

For more on benefits, please visit our

Eligibility for specific benefits listed on our BMS Careers site may vary based on the job and location.

If you come across a role that intrigues you but doesn’t perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career.

Uniquely Interesting Work, Life-changing Careers
With a single vision as inspiring as “Transforming patients’ lives through science™ ”, every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in an inclusive culture, promoting diversity in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues.

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

COVID-19 Information
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.

BMS is dedicated to ensuring that people with disabilities can perform complex functions through a transparent recruitment process, reasonable workplace adjustments and ongoing support in their roles. Applicants can request an accommodation prior to accepting a job offer. If you require reasonable accommodation in completing this application, or in any part of the recruitment process, direct your inquiries to Visit 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.