At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world.
Job title: Advisor – Fragment-based Computational Design
Location: Bracknell, UK
Reports to: Associate Vice President - Novel Platforms
Hybrid/Remote: Hybrid

POSITION SUMMARY

Lilly Small Molecule Discovery is seeking a Computational Scientist to join our Novel Platforms Fragment-based Discovery team. We are reimagining Fragment-Based Lead Discovery (FBLD) by embedding computation at its core—from data curation and modeling to design, triage, and decision-making. You will be a key contributor to an interdisciplinary initiative spanning structural biology, biophysics, chemistry, and AI systems, with the mission of transforming how fragments are discovered, evolved, and optimized. You’ll develop and integrate cutting-edge tools, to extract insight from diverse experiments—SPR, NMR, X-ray crystallography, cryo-EM, virtual screens—and convert them into actionable hypotheses. Your work will directly impact how Lilly identifies, and advances leads against challenging targets.

REQUIRED QUALIFICATIONS

• Ph.D. with 3+ years or M.S. with 5+ years of industry experience in structural biology, chemical biology, or related fields.
• Hands-on experience with software pertaining to FBLD such as Maestro/Schrodinger, ICM-Pro, GINGER, FrankenROCS, Fragmentstein, cluster4x, PanDDA, and the use of scripting to automate their use, ideally in a High-Performance Computing (HPC) environment.
• Proven track record of FBLD.
• Proven ability to independently design experiments, troubleshoot challenges, and effectively collaborate in a fast-paced environment.