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Senior Principal Scientist, Computational and Systems Biology

Employer
Bristol Myers Squibb
Location
San Diego County, California, US
Salary
Competitive
Closing date
Dec 6, 2022

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Sector
Consultancy/Private Sector
Field
Informatics / GIS
Discipline
Biology
Salary Type
Salary
Employment Type
Full time
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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 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 colleagues in the biology and chemistry departments and with 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 collaborate extensively with the machine learning and chemoinformatic team to build generative models and identify rules to design compounds with desired therapeutic effect. We seek a meticulous and scrupulous candidate who is 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.

Responsibilities
  • Devise screening strategies, guide screen execution, and develop corresponding data analytics
  • Interrogate multi-dimensional compound profiling data from proteomics, transcriptomics, and phenomics screens to classify compounds into MoA classes.
  • 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.


Requirements
  • 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.


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 adastaffingsupport@bms.com. Visit careers.bms.com/eeo-accessibility 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.
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