Senior Machine learning Scientist
About the Role:
We’re building AI systems that can reason through biology and accelerate drug discovery.
As part of our Turing team, you’ll develop LLM- and agent-based tools that help scientists explore data, generate hypotheses, and make better decisions — faster.
This is not a typical data science role.
It’s about turning cutting-edge AI into real scientific impact.
Responsibilities
* Build and deploy LLM-powered systems (RAG, agents, workflows) for scientific use
* Design tools that support ML scientists and researchers in their day-to-day work
* Work with large, messy biomedical datasets (omics, literature, clinical data)
* Create multi-step AI workflows that automate research and reasoning
* Develop evaluation frameworks to ensure models are accurate and reliable
* Collaborate closely with ML engineers, data scientists, and biologists
Requirements:
Core:
* Experience building with LLMs (GPT-style models, RAG, agents, tooling)
* Strong Python + data/ML engineering skills
* Experience working with real-world data systems (not just notebooks)
* Ability to build tools that support other technical users
Bonus:
* Experience in biotech, healthcare, or scientific data
* Background in multi-step workflows or agent-based systems
* Experience evaluating or benchmarking ML/AI systems
Why This Role
* Work at the intersection of AI + science + real-world impact
* Build systems that go beyond chat — AI that reasons and acts
* Collaborate in a deeply cross-functional, high-calibre team
* Your work directly contributes to discovering new medicines