Lead Computational Chemist, Molecule Discovery

Eli Lilly and Company; Indianapolis (IN); In loco; USD 194.000 - 339.000; Tempo pieno

Vantaggi offerti da questo lavoro

Company bonus

Comprehensive benefits

Descrizione del lavoro

Eli Lilly and Company is seeking a senior computational chemist to lead in silico drug discovery efforts, partnering with LSMD and ExploR&D teams. The role emphasizes virtual screening, cheminformatics, and AI/ML to identify and optimize small-molecule leads.

You will drive design hypotheses, model development, and collaboration across disciplines, leveraging TuneLab technology and data-driven strategies to accelerate biotech partnerships while thriving in a fast-paced team environment.

Competenze

• PhD in Computational Chemistry, Cheminformatics or related field with extensive research/industry experience.
• Strong record applying computational chemistry, virtual screening, and cheminformatics to hit identification and lead generation.
• Proficiency in Python and AI/ML methods for drug discovery.

Mansioni

• Lead computational chemistry efforts using virtual screening, ML/AI, and cheminformatics to support target and lead discovery.
• Collaborate with biotech teams and cross-functional partners to design workflows for screening libraries and modelling.
• Guide library design, hit prioritization, and expansion with predictive models and AI-driven approaches.
• Apply TuneLab AI/ML platform for predictive modelling and design hypotheses.
• Deliver high-quality data, analyses, and models to project teams to accelerate decisions.

Conoscenze

Python

AI/ML

Cheminformatics

Drug discovery

Team collaboration

Formazione

PhD in Computational Chemistry

MS in a related field

BS in a related field

Strumenti

RDKit

PyTorch

OpenEye

Descrizione del lavoro

Eli Lilly and Company is seeking a senior computational chemist to lead in silico drug discovery efforts, partnering with LSMD and ExploR&D teams. The role emphasizes virtual screening, cheminformatics, and AI/ML to identify and optimize small-molecule leads.

You will drive design hypotheses, model development, and collaboration across disciplines, leveraging TuneLab technology and data-driven strategies to accelerate biotech partnerships while thriving in a fast-paced team environment.