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Bristol Myers Squibb Logo

Data Scientist - Drug Discovery

Bristol Myers Squibb

$122,740 - $148,700
Aug 1, 2025
Princeton, NJ, US
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Bristol Myers Squibb (BMS) is seeking a drug discovery data scientist to join their Data Science and Advanced Analytics team to develop informative analysis tools and inferential models for machine learning (ML)-enhanced lead discovery and optimization, integrating ML with target-based and phenotypic screens to drive the discovery of novel medicines.

Requirements

  • Expert knowledge of one or more scripting programming languages, preferably Python, with a focus on machine learning and applications like Matlab, Tableau, and Spotfire to analyze and visualize data.
  • Ability to extract information from databases using a variety of software packages (e.g., Oracle SQL developer)
  • Knowledge of experimental design principles and statistical methods for biological assays.
  • Strong analytical, statistical, and problem-solving skills to understand technical business problems and devise and implement solutions.
  • Ability to translate complex data insights into actionable recommendations for cross-functional teams.
  • Demonstrated ability to quickly learn and apply domain-specific knowledge.

Responsibilities

  • Collaborate across R&D data science teams to develop enterprise strategies for machine learning in drug discovery and champion the evaluation and implementation of next generation AI/ML and analytics tools
  • Mine multi-omics/functional genomics data to identify relevant biological pathways & improve mechanistic understanding from phenotypic screening campaigns
  • Develop machine learning (ML) and analytics tools to analyze large High Throughput Screening and other data sets, and integrate to enable hypothesis testing to address key scientific questions
  • Utilize necessary tools to extract and prepare datasets for downstream consumption in models and analytics
  • Write and document programming code in one or more languages (Python preferred) to facilitate data preparation / cleaning, model development, evaluation, and deployment
  • Create deployable tools to enable end-user interaction with datasets and models
  • Present analyses and results to technical and non-technical audiences

Other

  • Ability to work effectively on matrixed teams to collaboratively solve challenging problems, while also being able to work independently with minimal supervision
  • Good interpersonal, communication, writing and organizational skills
  • Ph.D. with 0-2+ years of experience in bioinformatics, biology, and data analytics with a focus on machine learning. Postdoctoral or industry experience is a plus.
  • The starting compensation for this job is a range from $122,740 - $148,700, plus incentive cash and stock opportunities (based on eligibility).
  • Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility.