AI Data Engineer-In Vivo Data

Role

As an AI Data Engineer on the In Vivo Data team, you will design and build an AI-ready data architecture and data products to enable scalable correlation, analysis, and visualization of in vitro and in vivo datasets to support translational drug discovery research.

Key Responsibilities

• Develop and implement a data platform for efficient, scalable correlation and analysis of in vitro and in vivo data
• Process, analyze, curate, and integrate internal pharmacodynamics and toxicology datasets and relevant public-domain datasets
• Build data analysis pipelines and ETL workflows; engineer data products optimized for specific access patterns
• Implement, test, and validate new data analysis and visualization methods
• Collaborate with machine learning experts to develop ML methods and data products for translational studies
• Drive external collaborations with companies and academic institutions; present and publish scientific results
• Define in vivo data capture, metadata tagging, and storage strategies and onboard colleagues via workshops, hackathons, and trainings

Requirements

• PhD in Biology, Pharmacology, Toxicology, Computer Science, Physics, Statistics, or related technical discipline OR Master’s degree plus 2+ years building AI-powered research applications
• Experience in in-vivo pharmacology and translational in vivo/in vitro research
• Strong background in data handling, integration, and analysis
• Exceptional programming skills in Python
• Full-stack development experience with emphasis on Python and in-depth database expertise (focus on Postgres) and ETL frameworks
• Strong communication skills (verbal, written, presentation) and demonstrated ability to solve complex analyses/problems in a timely fashion

Preferred Qualifications

• Nextflow pipeline development experience
• Experience processing and analyzing large heterogeneous drug discovery datasets
• Proficiency in front-end technologies (TypeScript, ReactJS) and browser-based visualization techniques
• Familiarity with AI/ML libraries (PyTorch, Lightning) and experience with LLMs/RAG systems
• Experience with Claude Code or equivalent and vibe coding paradigms
• Proven software engineering practices: package development, cloud architectures, CI/CD, and related tooling
• Strong publication record and experience taking prototypes to production

Work Arrangement

• Hybrid role: must live within commuting distance and work on-site an average of 2.5 days per week or more as needed

Compensation & Benefits

• Annual base salary range: $106,000.00 to $171,500.00 (USD)
• Eligible for Pfizer’s Global Performance Plan with a bonus target of 15% of base salary and participation in share-based long-term incentive program
• Benefits include 401(k) with Pfizer matching contributions and an additional Pfizer Retirement Savings Contribution, paid vacation/holiday/personal days, paid caregiver/parental and medical leave, and medical/prescription/dental/vision coverage
• Relocation assistance may be available based on business needs/eligibility