Visionary Director: Cheminformatics & Applied AI

BioSpace; Boston (MA); On-site; USD 194,000 - 308,000; Full time

Job summary

Lilly is seeking a Director/Senior Director of Cheminformatics and Applied AI to lead scientific vision, organizational leadership, and enterprise influence within Early Molecule Discovery. You will drive platform capabilities, collaborate with Computational Chemistry, Medicinal Chemistry, and cross-functional partners, and guide data-driven decisions to accelerate discovery programs.

The role emphasizes scientific leadership, external innovation, and building capabilities across DEL, VS, and

Qualifications

• PhD in Cheminformatics, Computational Chemistry, Chemical Engineering or related field with 4+ years of drug discovery experience.
• Alternative: BS/MS with 8+ years of equivalent experience in pharma/biotech.
• Proven leadership shaping capabilities and strategic direction.

Responsibilities

• Serve as expert in cheminformatics and applied AI/ML to advance drug discovery programs.
• Develop and apply methods across DEL, HTS, VS and other modalities to improve hits.
• Drive analytics and ML for DEL, including enrollment of models trained on DEL outputs.
• Identify critical scientific problems and drive solutions through data-driven thinking.
• Stay current with external advances and deploy relevant technologies.

Skills

Scientific leadership

AI/ML fluency

Collaboration

Data-driven decisions

Education

PhD in Cheminformatics

4+ years drug discovery

Tools

RDKit

OpenEye

Python

SQL

PyTorch

scikit-learn

Job description

Lilly is seeking a Director/Senior Director of Cheminformatics and Applied AI to lead scientific vision, organizational leadership, and enterprise influence within Early Molecule Discovery. You will drive platform capabilities, collaborate with Computational Chemistry, Medicinal Chemistry, and cross-functional partners, and guide data-driven decisions to accelerate discovery programs.

The role emphasizes scientific leadership, external innovation, and building capabilities across DEL, VS, and