AI Data Engineer — Pharmacokinetics, Dynamics, and Metabolism (Senior Associate)

Pfizer • Groton, CT

18d • $82,700 - $137,900 • Hybrid

About The Position

In this role, you’ll apply modern data engineering and MLOps best practices within a highly collaborative environment to advance the next generation of data- and AI-enabled ADME (Absorption, Distribution, Metabolism and Excretion) 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 OR 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 (e.g., pandas, NumPy, scikit‑learn).
• Experience working in a structured, collaborative data/software development environment, including version control (e.g., Git).
• Understanding of data architecture principles that support scalable AI/ML workflows.
• Experience deploying tools in a cloud environment (AWS, GCP, or Azure).
• Permanent work authorization in the United States.

Nice To Haves

• Experience working with heterogeneous datasets for processing, integration, and analysis.
• Exposure to low‑code visualization tools (e.g., Dash, Streamlit).
• Understanding of large language model (LLM) and retrieval‑augmented generation (RAG) concepts.
• Understanding of basic chemistry concepts and chemical structures.
• Experience working in cross domain teams
• Experience creating, managing, and using databases.
• Experience moving prototypes from development to production.

Responsibilities

• Support data processing, visualization, and exploratory analysis for computational workflows using Python.
• Enable machine learning and data science workflows by preparing, structuring, and validating data for AI‑enabled ADME use cases.
• Design, curate, and maintain well‑structured datasets and databases for chemical, biological, and toxicology data, aligned with Pfizer data standards and quality expectations.
• Contribute to data architecture efforts by implementing scalable, reusable data pipelines and AI‑ready data assets.
• Apply best practices for data integrity, security, and regulatory compliance, including version control, testing, documentation, and reproducible code.
• Communicate progress and results through clear documentation, reports, and presentations, and contribute to team discussions to improve workflows.
• Stay current with emerging data engineering and computational tools, and apply new methods and best practices as appropriate.

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
• Relocation support available
• Relocation assistance may be available based on business needs and/or eligibility.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior