Director of AI Engineering
Pfizer
full-time
Posted on:
Location Type: Hybrid
Location: California • Connecticut • United States
Visit company websiteExplore more
Job Level
Tech Stack
About the role
- Build AI that directly shapes R&D decisions
- Design, develop, and scale production-grade AI systems in drug discovery and development programs
- Own foundational and predictive modeling end-to-end
- Advance generative AI for drug design
- Engineer elegant, reliable ML systems
- Automate and standardize the entire lifecycle of ML systems
- Decode high-dimensional biology
- Influence portfolio and strategy decisions
- Stay at the frontier of emerging AI methods
- Raise AI fluency across the organization
- Represent the science externally
Requirements
- PhD or Master’s in Computer Science, Machine Learning, Computational Biology, Software Engineering, AI, or a related discipline.
- 2–5 years of applied AI/ML experience.
- Experience in life sciences preferred, but not required (pharma, biotech, or health tech).
- A working understanding of R&D workflows is preferred but not required.
- Comfort operating across disciplines—chemistry, biology, pharmacology, statistics.
- Demonstrated expertise in predictive modeling, generative AI, and ML system design.
- Strong programming skills in Python and modern ML frameworks (e.g., PyTorch, TensorFlow).
- Proven ability to collaborate with other scientists.
Benefits
- Health insurance
- Retirement plans
- Paid time off
- Flexible work arrangements
- Professional development
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
AIMLpredictive modelinggenerative AIML system designPythonPyTorchTensorFlowdrug discoverydrug development
Soft skills
collaborationinfluencecommunicationinterdisciplinary understandingleadership
Certifications
PhDMaster’s