Cadd Postdoctoral Scientist

Eli Lilly Eli Lilly · Pharma · Boston, MA +1

Postdoctoral Scientist role focused on developing synthesis-aware virtual screening workflows for early small-molecule drug discovery, integrating AI/ML with structure-based drug design and fragment chemistry.

What you'd actually do

  1. Develop and apply synth(on)-fragment–based virtual screening methods for small-molecule hit discovery.
  2. Design fragment growth, linking, and merging strategies constrained by real-world synthetic feasibility.
  3. Integrate structure-based modeling (docking, scoring, ML/DL affinity prediction) with reaction-aware generative designs.
  4. Prioritize compounds that balance binding potential, chemical diversity, and synthetic accessibility.
  5. Collaborate closely with medicinal chemists, fragment scientists, and screening teams to enable rapid experimental validation.

Skills

Required

  • PhD in Computational Chemistry, Computer Science, or a related field
  • Strong background in CADD and structure-based drug design
  • Experience with fragment-based drug discovery concepts
  • Proficiency in Python
  • Familiarity with cheminformatics tools (e.g., RDKit)
  • Proficiency in DL/ML methods for binding prediction or molecular design
  • Ability to work with large chemical libraries and computational workflows

Nice to have

  • Experience with synth(on)- or reaction-based chemical libraries
  • Familiarity with synthetic accessibility scoring, retrosynthesis, or reaction rule systems
  • Experience collaborating with medicinal chemistry teams
  • Strong collaboration and scientific communication skills

What the JD emphasized

  • synth(on)-fragment–based virtual screening
  • synthesis-aware virtual screening workflows
  • reaction-aware generative designs

Other signals

  • AI/ML for drug discovery
  • Virtual screening workflows
  • Structure-based drug design
  • Fragment-based drug discovery