We're working with a well-backed, technology-driven biotech applying machine learning to large-scale biological data to better understand disease and develop new treatments. They're at a great stage, well-resourced, but still shaping their science and culture, so this hire will have real influence over both.
They're after a machine learning scientist with a strong methods background who's keen to point it at biology and drug discovery. You'd be building and applying ML approaches to complex biological datasets, working alongside biologists, data scientists, and engineers to surface insights that move programmes forward.
The role:
- Develop and apply machine learning methods to large, complex biological datasets
- Collaborate across a multidisciplinary team of scientists and engineers
- Turn data into actionable insight that supports the discovery of new therapies
- Contribute to the tools, methods, and standards the team relies on
What they're looking for:
- Advanced degree (PhD or equivalent) in a quantitative or life-sciences field — ML, computer science, computational biology, or similar
- 3+ Years of Industry experience
- Hands-on experience applying ML to biological or scientific data
- Comfort working across multiple data types and bringing them together
- Strong programming (Python or similar) and solid engineering practices
- A collaborative approach and a real interest in impact
Competitive salary, bonus and equity, plus strong benefits — health cover, generous and parental leave, learning budget, and more.