Job Description
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 NON-STANDARD WORK SCHEDULE, TRAVEL OR ENVIRONMENT REQUIREMENTS Limited travel requirements for meetings, trainings, and conferences 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. 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.mypfi