Research Leader (Toxicology), London

Your impact

As a Research Leader (Toxicology), you will own the safety assessment strategy of specific drug discovery and development projects from inception to regulatory submission. Working closely with the drug design platforms (small molecules and biologics), you will drive the optimisation of Iso’s assets with an AI-first approach in mind. In addition, you will guide the development of our AI predictive toxicology platform in order to increase the probability of success of Iso’s assets and contribute to the reduction of animal testing in drug discovery, in collaboration with the AI/ML research and data strategy teams. 

If you are an experienced, innovative and ambitious project toxicologist looking to play an active part in the AI-driven transformation of the pharmaceutical industry, joining Isomorphic Labs will lift you out of your comfort zone and provide an amazing opportunity for personal growth and development.

Essential

• PhD in Toxicology, Pharmacology, Biology, or related technical field, or equivalent industrial experience.
• 8+ years of professional experience working in a senior toxicology role within a biotech or pharma setting.
• Proven track record of delivering successful non-clinical safety strategies as a project representative across different therapy areas.
• Demonstrated experience designing, implementing and filing successful IND packages 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, with an 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

• Board certification
• Experience with peptides and other new modalities.
• Good understanding of the application of AI/ML techniques in drug discovery