Senior Research Investigator, (Biologics Pharmacology), London

The role

You will contribute to the pharmacology and translational biology strategy for large molecule therapeutics. You will work with an interdisciplinary team to design and optimize protein-based therapeutics using a generative AI drug design engine.

What you will do

• Design, execute, and oversee pharmacology plans for large molecule therapeutics.
• Lead the design and execution of in vivo efficacy and complex in vitro functional assays.
• Act as Biology Lead for assigned projects to progress candidates toward milestones.
• Coordinate internal workflows and external CROs.
• Collaborate with computational biology and design teams to identify and evaluate new biologics projects.
• Partner with ML, Biology, and CompBio teams to build a generative AI platform.

Required qualifications

• PhD in Immunology, Cancer Biology, Molecular Biology, Biochemistry, Pharmacology or a related scientific discipline.
• 5+ years professional experience in an industry role within a biotech or pharma setting.
• Scientific expertise in disease models and their use in biologics drug development.
• Experience in the design and execution of studies to support project progression in biologics drug discovery and development.
• Experience within the immunology, inflammation or oncology therapeutic areas.
• Proficiency with modalities such as multi-specifics or antibody drug conjugates (ADCs).
• Proficiency in managing external collaborations with CROs and academic groups.
• Passion for applying AI/ML to drug design.
• Excellent communication and interpersonal skills.
• Track record of creative problem solving in drug discovery.

Nice to have

• Experience leveraging machine learning or computational biology techniques for biologics design and optimisation.
• Experience in antibody discovery, engineering, and optimisation strategies.
• In-depth understanding of protein structure-function relationships of antibodies.

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 models to accelerate scientific discovery and design novel molecules.