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.
