Join a well-funded early-stage BioAI startup applying machine learning to a hard, underexplored biological problem. Work closely with chemists and biologists to develop ML-first platform. Deliver in a fast-paced environment.
Key Highlights
Technical Skills Required
Benefits & Perks
Job Description
About the role
I’m working with a well-funded early-stage BioAI startup applying machine learning to a hard, underexplored biological problem with real implications for climate resilience and food security.
They’re building an ML-first platform where research doesn’t sit in isolation. Models are expected to ship, be used by scientists, and influence real experimental decisions.
They’re looking for an ML Research Scientist who:
- Has a strong grounding in modern ML (generative models, representation learning, geometric deep learning, etc.)
- Has worked with biological or molecular data in some form… proteins, molecules, structure, interfaces
- Can work closely with chemists and biologists, and actually make the models useful
- Has experience delivering in a fast-paced environment
You don’t need prior experience in the exact problem space. Almost nobody has. Adjacent domains and an engineering mindset matter more than perfect overlap.
Fully remote (UK), with 1/4ly London meetups, long runway, real scientific ownership.
Salary: £90,000 - £120,000 + generous equity