As a member of the cross-functional Data Ecosystem Team, you will help build and scale an AI-ready data architecture supporting In-Vivo biology labs. You will design innovative software solutions that extract valuable insights from Pfizer’s proprietary data and external datasets, enabling the generation of testable hypotheses across the entire drug discovery value chain.
Requirements
- PhD in Biology, Pharmacology, Toxicology, Computer Science, Physics, Statistics, or a related technical discipline
- Master’s degree and 2+ years of experience building AI powered research applications
- Experience in In-Vivo Pharmacology
- Strong background in data handling, integration and analysis
- Thorough understanding of drug discovery and biology with a particular focus on in vivo / in vitro translational research.
- Research experience in developing data products and data integration solutions
- Exceptional programming skills in Python
- Strong full-stack development experience with focus on python, in-depth database expertise with a focus on postgres and ETL frameworks
- Strong communication skills—verbal, written, and presentation
Benefits
- 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution
- paid vacation
- holiday and personal days
- paid caregiver/parental and medical leave
- health benefits to include medical, prescription drug, dental and vision coverage
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