Hybrid work in Groton, CT with Pfizer offers an environment focused on advancing AI in pharmacokinetics, ADME, and related sciences. This Senior Associate AI Data Engineer role centers on applying data engineering and MLOps to automate workflows, curate AI‑ready datasets, and enable scalable AI solutions across ADME science.
What we offer
- Location: Groton, CT with hybrid work options
- Salary: USD 82,700 to 137,900 per year
- 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 including medical, prescription drug, dental and vision coverage
- Relocation assistance may be available based on business needs and eligibility
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
Requirements
- Master of Science in Computer Science, Data Science, Physics, Statistics, or a related technical discipline, or a Bachelor of Science 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 (Git)
- Understanding of data architecture principles that support scalable AI/ML workflows
- Experience deploying tools in a cloud environment (AWS, GCP, or Azure)
Technologies
- Python
- pandas
- NumPy
- scikit-learn
- Git
- AWS
- GCP
- Azure
- Dash
- Streamlit
Sunshine Act
Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws require Pfizer to provide government agencies with information such as a health care provider’s name, address and the type of payments or other value received, generally for public disclosure. Subject to further legal review and regulatory clarification, which Pfizer intends to pursue, reimbursement.
Equal employment opportunity and eligibility
Pfizer is committed to equal opportunity in the terms and conditions of employment for all applicants and employees without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements. For accessibility or accommodation requests related to the online application process or interviewing, please email disabilityrecruitment@pfizer.com.
