Research Investigator / Senior Research Investigator (In-vitro Pharmacology, Exploratory Sciences), London

The role

You will design, build, and run biochemical, biophysical, and cellular assays for novel therapeutic modalities. You will generate high-quality datasets to support machine learning models and work with interdisciplinary teams to drive drug discovery.

What you will do

• Design, develop and run biochemical, biophysical and cellular assays for novel modalities.
• Generate quantitative data on binding kinetics, ternary complex formation, degradation and functional pathway readouts.
• Develop modality specific cellular assays that show target engagement and functional pathway effects.
• Profile novel chemical matter from in silico design pipelines and interpret results.
• Help build and refine screening cascades for internal and partnered programmes.
• Generate high-quality, reproducible, ML-ready datasets.
• Propose and test new assays or experimental formats to close gaps in models.
• Use LLM agentic workflows and in silico tools for literature review, hypothesis generation, and design.
• Work with cross-disciplinary colleagues to test in silico hypotheses in the wet lab.
• Design, coordinate and monitor wet-lab studies across the CRO ecosystem.

Required qualifications

• BSc, MSc or PhD in a relevant field of biology (Pharmacology, Biochemistry, Biophysics, Cell Biology or a related discipline)
• Extensive experience in the design and implementation of biological screening cascades applied to drug design projects from hit identification to candidate selection phases
• Relevant post-doctoral or industry drug discovery experience
• Strong hands-on expertise in in vitro pharmacology and/or biophysics, including assay development, optimisation and data analysis.
• Experience with, or a strong interest in, novel modalities (e.g. TPD, molecular glues, peptides, induced proximity).
• Experience with, or clear enthusiasm for, LLM agentic workflows, in silico hypothesis building and data-driven discovery.
• Highly collaborative, adaptable, and motivated by a fast-moving, interdisciplinary environment.
• Ability to work across several projects and therapeutic areas.
• Communicates clearly with colleagues from very different scientific and technical backgrounds.

Nice to have

• Experience working with CROs or external collaborators.
• Experience generating data to validate virtual screens, de novo designs or ML-predicted binders.
• Worked with Data Science groups in setting up systems for ingestion of biological data.
• General knowledge of machine learning modelling applied to biological systems and drug discovery
• Experience with lab automation and high-throughput data workflows.
• Scripting or data analysis skills (e.g. Python, R) or experience building agents or prompts for scientific workflows

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.