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

POSITION SUMMARY

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. 

POSITION 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.

 

BASIC QUALIFICATIONS

• 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).

 

PREFERRED QUALIFICATIONS

• 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  (added)

• Experience creating, managing, and using databases.

• Experience moving prototypes from development to production

Work Location Assignment:  This is a hybrid role requiring you to live within commuting distance and work on-site an average of 2.5 days per week or more as needed.

  
Relocation support available

 

The annual base salary for this position ranges from $82,700.00 to $137,900.00. In addition, this position is eligible for participation in Pfizer’s Global Performance Plan with a bonus target of 10.0% of the base salary. We offer comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of life’s moments. Benefits offered include a 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, and health benefits to include medical, prescription drug, dental and vision coverage. Learn more at Pfizer Candidate Site – U.S. Benefits | (uscandidates.mypfizerbenefits.com). Pfizer compensation structures and benefit packages are aligned based on the location of hire. The United States salary range provided does not apply to Tampa, FL or any location outside of the United States.

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

Candidates must be authorized to be employed in the U.S. by any employer.

U.S. work visa sponsorship (such as TN, O-1, H-1B, etc.) is not available for this role now or in the future.

Research and Development