In this role, you'll apply modern data engineering and MLOps best practices to advance the next generation of data- and AI-enabled ADME science. Your key responsibilities will include automating scientific workflows, curating and engineering AI-ready datasets, and enabling scalable, reusable AI solutions across various functions.
Requirements
- M.S. in Computer Science, Data Science, Physics, Statistics, or a related technical discipline
- B.S. with 2+ years experience building AI-powered research applications
- Strong communication, collaboration, and problem-solving skills
- Proficiency in Python for data analysis and modeling
- Experience working in a structured, collaborative data/software development environment
- Understanding of data architecture principles that support scalable AI/ML workflows
Benefits
- 401(k) plan with Pfizer Matching Contributions
- paid vacation, holiday and personal days
- paid caregiver/parental and medical leave
- health benefits to include medical, prescription drug, dental and vision coverage