Role OverviewThe Advisor of Computational Peptide Biochemistry will drive peptide discovery programs by providing computational modeling support for the team, building computational and AI/ML-based infrastructure at Protomer Team in Eli Lilly. The successful candidate will work closely with peptide discovery team, structural biologists, assay biologists, and medicinal chemists to guide peptide structure-activity relationship studies from hit identification to lead optimization.
What You Will Do
The ideal candidate will contribute as the lead biochemist and assay biologist for the team on macrocyclic discovery, contributing both insight and developing strategy for assays for various efforts in the group. They will work on molecule testing efforts from lead identification to lead optimization and contribute along the way to phase 1b and beyond.
Why It Might Be a Fit
The ideal candidate will be a creative computational scientist for the integration of the latest computational and AI/ML-based approaches into the automated and high-throughput peptide drug discovery workflows. They will be expected to manage the scientific portfolio, the business supporting the portfolio, and mentoring of junior scientists within the oral macrocycles group at Protomer.
Requirements
- PhD in computational chemistry, medicinal chemistry, computational biology, machine learning, cheminformatics, biophysics, or closely related discipline
- 0-3 years of drug discovery experience with demonstrated track record of computational impact on peptide discovery programs in academia, biotech, or pharma
- Strong track record in AI/ML, computational tools, and molecular designs for linear and cyclic peptides
Benefits
- Company bonus
- Comprehensive benefit program
- 401(k) plan
- Pension
- Vacation benefits
- Medical, dental, vision, and prescription drug benefits
- Flexible benefits
- Life insurance and death benefits
- Certain time off and leave of absence benefits
- Well-being benefits
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