Healx is looking for a Machine Learning Engineer to join our Tech team and help develop our drug discovery platform, working to discover new treatments for rare diseases. You'll contribute to developing and applying advanced machine learning approaches, knowledge graph reasoning, and agentic workflows that underpin our discovery efforts, working closely with domain experts to translate complex biological questions into robust, scalable solutions.
What You'll Do
- Build automated reasoning over large knowledge graphs and proprietary methods for efficient generation of experimentally testable therapeutic hypotheses.
- Contribute to building, maintaining and improving our rare-disease knowledge graphs used to identify and reason over novel therapeutic hypotheses.
- Develop agentic tools and workflows to enable our teams to unlock insight from proprietary data and large datasets.
- Contribute and advocate for best engineering practices across our tech teams.
What We're Looking For
- 2-5 years professional experience in machine learning, artificial intelligence or a related field, from academia or industry.
- An advanced degree (masters, PhD) in machine learning, biochemistry or a related field with a focus on applied research, or equivalent industry experience applying machine learning to complex real-world problems.
- Strong software development experience in Python and a good appreciation of the principles of software engineering.
- Ability to work independently to scope, plan and deliver end-to-end machine learning solutions, managing your own priorities effectively and communicating progress and blockers proactively.
Technical Stack
- Python
Team & Environment
You'll be part of a highly cross-functional and collaborative team that brings together machine learning engineers, software engineers, bioinformaticians and drug discovery scientists. This role is part of the Tech team and reports to the Director of Tech Strategy.
Benefits & Compensation
- Competitive salary and share options.
- 7% employer pension contributions.
- Life insurance of 4x base salary.
- Private medical insurance.
- 25 days annual leave (plus bank holidays) with the option to purchase additional days.
- Wellbeing support via Spill and our Employee Assistance Programme.
- Home office set-up allowance.
- Enhanced family leave policies, miscarriage and fertility leave.
- Personal learning and development budgets.
- One paid day off per year to volunteer for a cause aligned with our mission.
Work Mode
This is a hybrid role based in Cambridge, UK.
Diversity and inclusion sits at the heart of our mission to help people with rare diseases, and we believe that attracting and empowering a diverse team is critical to achieving this goal. We welcome applications from people from all backgrounds and walks of life.
