Research Leader (Toxicology), Cambridge, MA

The role

The Toxicology Lead will develop safety assessment strategies for drug discovery and development projects. This role involves guiding the development of an AI predictive toxicology platform and managing relationships with external CROs.

What you will do

• Design and implement safety assessment strategies with an AI-first approach.
• Design screening cascades and mechanistic experiments.
• Develop SAR understanding of toxicology main liabilities.
• Define regulatory safety assessment packages.
• Author toxicology sections of regulatory documents.
• Partner with Machine Learning colleagues to build the predictive toxicology platform.
• Identify state-of-the-art technologies and methods for the platform.
• Maintain and develop relationships with the CRO network.
• Oversee the delivery of data generation campaigns for AI-based models.
• Mentor junior members of the team.

Required qualifications

• Ph.D. in Toxicology, Pharmacology, Biology, or DVM/MD with relevant experience.
• Board Certification.
• Extensive professional experience working in a senior toxicology role across different therapy areas within the biotech or pharma setting.
• Demonstrated experience filing successful INDs/CTAs for both small molecules and biologics.
• Deep understanding of Global Regulatory Guidelines regarding safety assessment.
• Experience of partnering closely with Discovery and Clinical teams.
• Excellent communication (written and verbal), interpersonal and influencing skills.
• Ability to work effectively in a cross-functional, collaborative team environment.
• Track record of creative problem solving with a strong growth mindset, adaptability, willingness to challenge conventional thinking and eagerness to learn new concepts.

Nice to have

• Experience with peptides and other new modalities.
• Good understanding of machine learning techniques.
• Familiarity with Python and KNIME.

About the company

Isomorphic Labs (IsoLabs) was launched in 2021 to advance human health by building on and beyond the Nobel-winning AlphaFold system. The company uses AI to model complex biological phenomena to design novel molecules and develop innovative medicines.