Data Engineer, Computational Safety Sciences

Position Summary

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.

Position 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.

Basic Qualifications

• 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
• Technical Skills:
  • 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.

Preferred Qualifications

• 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).

Physical/Mental Requirements

• Ability to communicate and to work on teams

Work Schedule and Location

• Limited travel requirements for meetings, trainings, and conferences
• 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.

Compensation and Benefits

• The annual base salary for this position ranges from $82,700.00 to $137,900.00.
• Eligible for participation in Pfizer's Global Performance Plan with a bonus target of 10.0% of the base salary.
• Benefits 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 including medical, prescription drug, dental and vision coverage.
• Relocation assistance may be available based on business needs and/or eligibility.

Additional Information

• 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.
• Pfizer is committed to equal opportunity employment and complies with all applicable laws.
• Pfizer is an E-Verify employer.
• This position requires permanent work authorization in the United States.