As a Senior Scientist in AI/ML, you’ll work with a high level of scientific independence under strategic direction, applying advanced machine learning and informatics approaches to real-world drug discovery challenges. This role is central to operationalising our AI/ML strategy, delivering high-quality, data‑driven insights across integrated drug discovery programs.
Chesterford Research Park (Hybrid – minimum 3 days onsite)
What You’ll Do
- Develop, deploy, and apply AI/ML models for molecular design, prediction, and decision-making
- Apply AI/ML and cheminformatics approaches to support high‑quality scientific decisions across client programs
- Drive innovation in AI, automation, and in silico strategies to accelerate hit‑to‑candidate progression
- Collaborate closely with medicinal chemists, biologists, computational scientists, project leaders, and clients
- Clearly present scientific results, challenges, and recommendations to internal and external stakeholders
- Stay current with emerging AI/ML technologies and scientific literature, sharing knowledge across teams
- Contribute to scientific proposals, client presentations, and business development activities
- Mentor and support colleagues, helping to build AI and informatics capability across the organization
- Act as an ambassador for Charles River at conferences and external scientific events, as needed
What You’ll Bring
Required
- PhD in Computational Chemistry, AI/ML, Chemoinformatics, or a related field
- OR
- BSc/MSc in Chemistry or Computer Science with significant industry experience applying AI/ML in drug discovery
- Demonstrated experience developing and deploying AI/ML methods in a drug discovery environment
- Strong Python programming skills, including experience with Jupyter notebooks and modern IDEs
- Experience working with both structured and unstructured data
- Proven ability to work effectively in multidisciplinary, project‑based teams
- Strong problem‑solving skills with the ability to communicate complex ideas clearly and pragmatically
Nice to Have
- Experience in a CRO or pharmaceutical drug discovery organization
- Solid understanding of the mathematics and statistics underpinning AI/ML methods
- Experience with commercial and open‑source molecular modeling software
- Exposure to bioinformatics or biologics‑focused data
Additional Details
- Hybrid role, with at least 3 days onsite (or more as required) at Chesterford Research Park (Saffron Walden)
- Travel may be required for client meetings and scientific conferences
What We Offer
At Charles River Discovery UK, we offer a competitive and comprehensive benefits package designed to support your health, wellbeing, and professional growth—including a generous bonus, non‑contributory pension, health and dental coverage, and more.
