Senior Research Investigator Research Leader Translational Pharmacology
AI-first drug design and development company building a unified drug-design engine to advance new medicines.
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 shape translational pharmacology research focused initially on neurodegenerative disease. You will develop therapeutic hypotheses, establish target-validation workflows, profile novel compounds, lead portfolio scientific strategy, oversee external studies, and collaborate with AI and biology specialists to advance programmes from target identification to portfolio entry.
Requirements
- PhD or equivalent experience in Neuroscience, Translational Medicine, Pharmacology, Cellular Biology, Molecular Biology, or a related discipline
- Deep understanding of neurodegenerative disease biology
- Expertise in translational models, patient-derived cellular systems, and screening-cascade design
- Experience advancing therapeutic hypotheses through target validation and compound profiling
- Experience designing and managing external research studies with CROs and academic collaborators
- Experience collaborating with bioinformatics, cheminformatics, or computational biology teams
- Ability to work in a high-velocity interdisciplinary environment
Responsibilities
- Define neurodegeneration research strategy and identify therapeutic opportunities
- Evaluate target tractability, translational relevance, and competitive differentiation
- Establish target-validation criteria for portfolio progression decisions
- Develop disease-relevant therapeutic hypotheses and screening cascades
- Profile novel chemical matter and build pre-clinical data packages
- Develop strategies for target engagement, biomarkers, and patient stratification
- Design assays and experimental systems to evaluate AI-designed molecules
- Lead portfolio scientific strategy, timelines, and delivery of decision-quality data
- Manage outsourced studies with CROs and academic collaborators
- Track scientific advances, clinical landscapes, and translational technologies