AI Data Engineer--Computational Toxicology (Senior Associate)

Pfizer • Groton, CT

1d • Hybrid

About The Position

You will apply modern Data Engineering and MLOps best practices in a highly collaborative environment. You will be a core contributor to our Computational Safety Sciences team, helping drive the next generation of data- and AI-enabled drug safety science. You will focus on automating scientific workflows, curating and engineering AI-ready datasets, and enabling scalable, reusable AI solutions across functions. You will work closely with Bioinformaticians, Data Scientists, Toxicologists, and Technology partners to turn complex scientific data into robust, production-grade AI assets.

Requirements

• MS in Biology, Pharmacology, Toxicology, Computer Science, Physics, Statistics, or a related technical discipline OR BS and 1+ years of experience building AI powered research applications
• Experience in R and/or Python for data analysis and modeling.
• Proficiency in version control (e.g., Git) and adherence to coding best practices, including structured workflows, documentation, and reproducibility standards.
• Experience in database creation, management, and analysis particular with toxicology datasets
• Understanding of data architecture principles to support AI workflows.
• Foundational knowledge in biology and/or chemistry.
• Strong communication, collaboration, and problem-solving skills.
• Ability to communicate and to work on teams
• Limited travel requirements for meetings, trainings, and conferences
• Permanent work authorization in the United States.

Nice To Haves

• Experience working with heterogeneous datasets for basic processing, integration, and analysis.
• Exposure to front-end or visualization tools (e.g. Shiny, Streamlit).
• Basic understanding of LLM and RAG concepts is a plus.
• Foundational software engineering skills, including writing clean code and using version control.
• Familiarity with common Python scientific libraries (e.g., NumPy, pandas).
• Interest in AI-assisted coding tools and modern development workflows.
• Contributor to team or academic projects.
• Experience supporting prototypes or analyses moving toward reusable solutions.
• Exposure to workflow tools (e.g., Nextflow).

Responsibilities

• Apply Python and/or R programming to support data processing, visualization, and exploratory analyses in support of computational safety science workflows.
• Implement and support machine learning and data science workflows by preparing, structuring, and validating data for AI-enabled toxicology and safety assessment use cases.
• Design, curate, and maintain well-structured datasets and databases for chemical, biological, and toxicology data, ensuring consistency with Pfizer data standards and quality expectations.
• Collaborate closely with toxicologists, pathologists, bioinformaticians, and data scientists to integrate multi-modal datasets (e.g., chemical structures, in vitro and in vivo data, omics).
• Contribute to foundational data architecture efforts by helping implement scalable, reusable data pipelines and AI-ready data assets.
• Follow best practices for data integrity, security, and regulatory compliance, while adopting good coding hygiene, version control, testing, and documentation to support reproducibility.
• Communicate results and progress through clear documentation, reports, and presentations, and actively participate in team discussions to continuously improve workflows and approaches.
• Stay current with emerging data engineering and computational toxicology methods, with a strong interest in learning and applying new tools and best practices.

Benefits

• 401(k) plan with Pfizer Matching Contributions
• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Associate degree