Director of AI Engineering developing AI systems for drug discovery at Pfizer. Collaborating with scientists to leverage AI in transforming R&D through innovative medicines and therapies.
Responsibilities
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.
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