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

Pfizer offers a hybrid AI Data Engineer position in Groton, CT, with a yearly salary range of USD 82,700 to 137,900. The Senior Associate role focuses on pharmacokinetics and ADME, leveraging data engineering and MLOps to automate workflows, curate AI-ready datasets, and support scalable AI initiatives across ADME science.

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 assistance may be available based on business needs and/or eligibility

Responsibilities

• Assist with data processing, visualization, and exploratory analyses to support computational workflows using Python.
• Prepare, structure, and validate data to enable machine learning and data science workflows for AI-enabled ADME use cases.
• Design, curate, and maintain well-structured datasets and databases covering chemical, biological, and toxicology data in alignment with Pfizer data standards and quality expectations.
• Contribute to data architecture by implementing scalable, reusable data pipelines and AI-ready data assets.
• Follow best practices for data integrity, security, and regulatory compliance, including version control, testing, documentation, and reproducible code.
• Document progress and results clearly, prepare reports and presentations, and participate in team discussions to improve workflows.
• Stay current with emerging data engineering and computational tools, applying relevant methods and best practices as appropriate.

Requirements

• M.S. in Computer Science, Data Science, Physics, Statistics, or a related technical discipline OR B.S. with 2+ years of experience building AI-powered research applications.
• Strong communication, collaboration, and problem-solving skills.
• Proficiency in Python for data analysis and modeling, including pandas, NumPy, and scikit-learn.
• Experience in a structured, collaborative data and software development environment, with version control such as Git.
• Understanding of data architecture principles that support scalable AI/ML workflows.
• Experience deploying tools in cloud environments such as AWS, GCP, or Azure.

Technologies

• Python
• pandas
• NumPy
• scikit-learn
• Git
• AWS
• GCP
• Azure
• Dash
• Streamlit

Sunshine Act

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EEO and Employment Eligibility

Pfizer is committed to equal opportunity in all terms and conditions of employment for every applicant and employee, regardless of race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability, or veteran status. Pfizer also complies with applicable nondiscrimination and work authorization laws. For accessibility assistance with the careers site or application process, please email [email protected].