In-Vitro Pharmacology Lead — Exploratory Sciences

Isomorphic Labs; Greater London; Hybrid; GBP 180,000 - 250,000; Full time

Benefits offered by this job

Hybrid work model with office days

Job summary

Isomorphic Labs in London seeks a Research Leader in In-vitro Pharmacology within Exploratory Sciences. You will build and lead a biologist team to shape pharmacology strategies across modalities, using AI-enabled workflows and close collaboration with ML and engineering teams.

You will set screening cascades, study design and CRO partnerships, mentoring scientists to become leaders while ensuring ML-ready data and robust experimental plans that accelerate drug discovery.

Qualifications

• PhD or equivalent in Pharmacology, Biochemistry, Biophysics, Cell Biology or related field.
• Extensive in vitro pharmacology and biophysics expertise.
• Experience leading scientists and CRO studies.
• Hands-on with novel modalities (e.g. molecular glues, peptides).
• Experience with LLM agentic workflows and data-driven discovery.
• Strong collaboration and cross-functional communication.
• Ability to work across multiple projects and therapeutic areas.

Responsibilities

• Lead and grow a team of research investigators in Exploratory Sciences.
• Define and own the experimental pharmacology strategy across portfolio.
• Develop and optimize screening cascades for novel modalities.
• Drive data quality, ML readiness, and integration with in silico models.
• Mentor scientists and foster growth within the team.
• Collaborate with ML, engineering and medicinal chemistry to align platforms.

Skills

Pharmacology

Biophysics

Leadership

Novel modalities

LLM agentic workflows

Collaboration

Data-driven discovery

Education

PhD or equivalent in Pharmacology/biochemistry/biophysics/ccell biology

Tools

Python

R

Lab automation

Job description

Isomorphic Labs in London seeks a Research Leader in In-vitro Pharmacology within Exploratory Sciences. You will build and lead a biologist team to shape pharmacology strategies across modalities, using AI-enabled workflows and close collaboration with ML and engineering teams.

You will set screening cascades, study design and CRO partnerships, mentoring scientists to become leaders while ensuring ML-ready data and robust experimental plans that accelerate drug discovery.