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AI Data Engineer-In Vivo Data
Cambridge, MA 02139
$106k - $171k
1 month ago
💻 Open SourceExplicitly mentions Claude Code and vibe coding paradigms, and experience with LLMs/RAG systems is preferred.
About the Role
Build and scale an AI-ready data architecture for in-vivo biology labs at Pfizer, designing software and data products to extract insights from internal and public datasets and enable testable hypotheses across the drug discovery value chain. Lead development of data platforms, pipelines, integration, analysis, and collaborator onboarding to support translational research.
Job Description
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