Senior Computational Chemist - AI-Driven Drug Discovery

Eurofins DiscoverX; Saint Charles (MO); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Medical benefits

Dental & Vision

401(k) match

Paid vacation & holidays

Life & disability insurance

Job summary

Eurofins Discovery is seeking an experienced computational scientist to lead data-driven drug discovery efforts, promoting AI/ML solutions and integrating computational chemistry into hit finding and lead optimization.

The role requires strong expertise in cheminformatics, data governance, and cross-functional collaboration across chemistry, biology, and IT to deliver actionable insights and drive programs forward in a fast-paced environment.

Qualifications

• Proven track record in drug discovery projects and lead optimization.
• Strong understanding of medicinal chemistry and translating computational insights into design hypotheses.
• Experience with ligand-based design (QSAR, similarity searching, conformational analysis).

Responsibilities

• Represent Computational Chemistry as SME for nonclinical R&D.
• Pursue independent research projects and develop novel computational workflows.
• Develop and utilize state-of-the-art computational software and simulation techniques.
• Analyze, interpret and report research informatics data.
• Collaborate with medicinal chemistry for lead optimization activities such as docking and scoring.
• Apply new tools for integrative analysis and visualization of large data sets.
• Contribute to data governance with IT and lab teams.
• Communicate project status and strategies with leadership.
• Deliver client-focused results on time and with quality.

Skills

Computational chemistry

AI/ML in drug discovery

Leadership

Cross-functional collaboration

QSAR

Docking & scoring

Data governance

Statistics

Job description

Eurofins Discovery is seeking an experienced computational scientist to lead data-driven drug discovery efforts, promoting AI/ML solutions and integrating computational chemistry into hit finding and lead optimization.

The role requires strong expertise in cheminformatics, data governance, and cross-functional collaboration across chemistry, biology, and IT to deliver actionable insights and drive programs forward in a fast-paced environment.