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About the Role

Join the Exploratory Sciences team at Isomorphic Labs, focused on tackling intractable proteins critical for disease biology. You will be the experimental engine behind exploratory programs, designing, building, and running assays to validate new therapeutic modalities and generate data that shapes our AI-driven drug design engine.

Responsibilities

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 linking molecular data to therapeutic hypotheses.
Profile novel chemical matter from in silico design pipelines and interpret results to guide next design cycles.
Help build and refine screening cascades for internal and partnered programs.
Generate high-quality, reproducible, ML-ready datasets, applying agreed data quality, ontology, and QC standards.
Propose and test new assays or experimental formats that close gaps in our models.
Use LLM agentic workflows and in silico tools to speed up literature review, hypothesis generation, experimental design, and analysis.
Work with cross-disciplinary colleagues to test in silico hypotheses in the wet lab and feed results back into the platform.
Contribute biological insight and user feedback to Platform builds.
Work closely with medicinal chemistry, DMPK, computational chemistry, and computational biology to drive SAR and compound progression.
Design, coordinate, and monitor wet-lab studies across the CRO ecosystem.
Present results clearly to project teams and stakeholders and help shape project decisions.
Represent the company externally, interacting with existing and prospective collaborators.

Requirements

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 with 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, with the ability to work across several projects and therapeutic areas.
Communicates clearly with colleagues from very different scientific and technical backgrounds.
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.

Skills

In vitro pharmacology
Biophysics
Assay development
Assay optimisation
Data analysis
Biochemical assays
Biophysical assays
Cellular assays
SPR/GCI
nanoDSF
Spectral Shift
MST
HiBiT
NanoBRET
TR-FRET
AlphaLisa
LLM agentic workflows
In silico hypothesis building
Data-driven discovery
Python
R

Location

Remote
Hybrid

Work Type

Hybrid

Experience Level

Post-doctoral
Industry drug discovery experience

Education Level

About the Company

Isomorphic Labs is applying frontier AI to help unlock deeper scientific insights, faster breakthroughs, and life-changing medicines with an ambition to solve all disease.
Isomorphic Labs (IsoLabs) was launched in 2021 to advance human health by building on and beyond the Nobel-winning AlphaFold system.
Our interdisciplinary team of drug discovery experts and machine learning specialists has built powerful new predictive and generative AI models that accelerate scientific discovery at digital speed.
Our name comes from the belief that there is an underlying symmetry between biology and information science.
By harnessing AI’s powerful capabilities, we can use it to model complex biological phenomena to help design novel molecules, anticipate how drugs will perform and develop innovative medicines to treat and cure some of the world’s most devastating diseases.
We have built a world-leading drug design engine comprising AI models that are capable of working across multiple therapeutic areas and drug modalities.
We are continually innovating on model architecture and developing cutting-edge capabilities to advance rational drug design.
Every day, and with each new breakthrough, we’re getting closer to the promise of digital biology, and achieving our ambitious mission to one day solve all disease with the help of AI.

Equal Opportunity

We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy or related condition (including breastfeeding) or any other basis protected by applicable law.
If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.