Hybrid Director of AI Engineering

Posted 2 days ago

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About the role

  • 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.

Benefits

  • Health insurance
  • Retirement plans
  • Paid time off
  • Flexible work arrangements
  • Professional development

Job title

Director of AI Engineering

Job type

Experience level

Lead

Salary

Not specified

Degree requirement

Postgraduate Degree

Location requirements

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