About the roleI’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, interfacesCan work closely with chemists and biologists, and actually make the models usefulHas experience delivering in a fast-paced environmentYou 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