Senior Research Investigator Biologics Pharmacology
Isomorphic LabsVisit Isomorphic Labs website
AI-first drug design and development company building a unified drug-design engine to advance new medicines.
Series BRecently funded
London, United Kingdom
Funding history
Investors
About Isomorphic Labs
Isomorphic Labs uses predictive and generative AI models, computational biology, and drug-design expertise to develop therapeutics across partnered and internal programs.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will design and oversee pharmacology plans for large-molecule therapeutics. You will lead in vivo and in vitro studies, coordinate internal workflows and CROs, guide project milestones, assess new biologics targets, and feed pharmacology data into generative AI design loops.
Requirements
- PhD in Immunology, Cancer Biology, Molecular Biology, Biochemistry, Pharmacology, or a related discipline
- 5+ years of professional experience in biotech or pharma
- Expertise in disease models for biologics drug development
- Experience designing and executing studies for biologics drug discovery and development
- Experience in immunology, inflammation, or oncology
- Proficiency with multispecifics or antibody-drug conjugates
- Experience managing collaborations with Contract Research Organizations and academic groups
- Interest in applying AI and machine learning to drug design
- Excellent written and verbal communication skills
Responsibilities
- Design, execute, and oversee pharmacology plans for large-molecule therapeutics
- Lead in vivo efficacy and complex in vitro functional assays
- Act as Biology Lead for assigned projects and coordinate internal workflows and external CROs
- Progress candidates toward go/no-go decisions and program milestones
- Identify, evaluate, and introduce new biologics projects into the portfolio
- Assess biological feasibility and therapeutic potential of new targets
- Collaborate with interdisciplinary teams to feed pharmacology data into design loops
- Deploy generative AI tools to discover therapeutic strategies