Research Leader (Toxicology), London

About the Toxicology team

The Toxicology team operates at the cutting-edge intersection of preclinical development and artificial intelligence, redefining how safety is assessed from the very beginning of the drug discovery process. Through collaboration with drug program teams, subject matter experts and ML researchers, we ensure that safety is a key pillar of our drug design engine. We shape the development of state-of-the-art toxicology predictive models, optimising their context of use to rethink drug discovery from HitID to First in Human trials.

 

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.

 

What you will do 

Portfolio deliverables

• As a core member of project teams, tailor and implement project-specific safety assessment strategies with an AI-first approach to support small molecules and biologics.
• Design screening cascades and mechanistic experiments to elucidate and mitigate safety risks, supporting project progression in a data-driven manner.
• Provide technical expertise to develop SAR understanding of toxicology liabilities to enable optimisation of chemical and biological matter.
• Define regulatory safety assessment packages to support successful acceptance by regulatory agencies.
• Communicate clear integrated risk assessments and recommendations to internal stakeholders
• Author and defend toxicology sections of regulatory documents.

CRO interactions

• Since Isomorphic Labs outsource all wet-lab work to external vendors, you will maintain and develop close relationships with the CRO network to:
• Ensure high quality and timely data generation to support our portfolio projects.
• Leverage the scientific expertise of our external collaborators to enhance the team's impact.
• Oversee the delivery of data generation campaigns purposefully designed to support the development of AI-based toxicology models.

People

• Empower fellow team members by sharing your expertise in toxicology, fostering a culture of continuous learning and mutual support.
• Embrace and champion a culture of inclusion and continuous professional development.

 

Skills and qualifications

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