Job Vacancy Senior Scientist, Computational and Systems Biology – Predictive Sciences Bristol-Myers Squibb

Job title: Senior Scientist, Computational and Systems Biology – Predictive Sciences

Company: Bristol-Myers Squibb

Job description: 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.

Job Description

We seek a collaborative and highly innovative computational scientist to join our Predictive Sciences team and develop cutting-edge computational strategies to analyze multi-omics perturbation data from compounds in our proprietary library to infer novel mechanism-of-action (MoAs) for oncology application.

This position will work alongside colleagues with other teams in the global Informatics and Predictive Sciences (IPS) group and play a key scientific role in elucidating different compound MoA classes in our library at the level of cellular pathways and biological networks and predict their therapeutic effects on specific primary disease subtypes. We seek candidates who are 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.


  • Integrate multi-dimensional compound profiling data from proteomics, transcriptomics, and phenomics screens to elucidate compound activities
  • Interpret compound MoA by mapping and analyzing compound perturbation in the context of cellular pathways and biological networks
  • Predict a compound’s therapeutic effect by linking compound perturbations with molecularly defined primary disease states.
  • Collaborate with toxicology group to analyze compound profiling data for early identification of potential safety liabilities
  • Design and implement systems biology approaches to prioritize novel drug targets and compound MoAs.
  • Help create knowledge-graph from internal and external datasets to facilitate navigation of knowledgebase.
  • Author scientific reports, and present methods, results, and conclusions to publishable standard.
  • Contribute to planning and execution of collaborative projects with leading academic and commercial research groups worldwide.


  • Ph.D. in computational biology or systems biology with 2+ 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.
  • Systems biology methods focused on both casual and correlative inferences.
  • Extensive experience in analyzing perturbation data from a wide variety of molecular profiles such as transcriptomics and proteomics in an integrative fashion.
  • Knowledge of various public perturbation repositories and ingestion of data from these repositories for internal use.
  • Ability to work with noisy and missing data to tease out relevant information.
  • Expertise in programming and scripting languages (R, Python, or Matlab).
  • Knowledge of various parametric and non-parametric statistical tests and ability to identify and apply the appropriate statistical test.
  • Excellent verbal and written communication skills.

Preferred Experience

  • Experience in machine learning/deep learning.
  • Knowledge of drug discovery in pre-clinical and early phase drug development stages

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.

Expected salary:

Location: San Diego, CA

Job date: Fri, 08 Jul 2022 23:19:10 GMT

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