Role overview
Healx is an AI-powered tech bio company that is redesigning drug discovery. With 10,000 rare diseases affecting 400 million people globally, 90% of which have no approved treatment, Healx is on a mission to pioneer the next generation of drug discovery to help rare disease patients in need. We combine data, artificial intelligence and deep pharmacology expertise to develop treatments more quickly and cheaply than traditional drug discovery. 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. Below we have included the qualities that we feel are required for you to excel in this role; however we appreciate that people can apply transferable skills and experience. If you think you have what it takes, love our mission and resonate with our values but are worried you don't tick every box – we still want to hear from you and encourage you to apply!
What you'll work on
- 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
- You have 2-5 years professional (in academia or industry) experience in machine learning, artificial intelligence or related field
- You are excited about taking on new challenges and responsibilities in a mission-driven startup aiming at improving patient outcomes
- You have an advanced degree (masters, PhD) in machine learning, biochemistry or related field with a focus on applied research or equivalent industry experience applying machine learning to complex real-world problems
- You have a strong software development experience in Python and a good appreciation of the principles of software engineering
- You thrive in a highly cross-functional environment and you appreciate the opportunity to step up and leave your mark by taking ownership of meaningful technical challenges, contributing ideas that shape the direction of our platform and driving solutions from concept through to deployment
- You are able 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
- You are comfortable navigating a degree of ambiguity, making pragmatic decisions when needed, and you know when to seek input from the broader team to ensure quality and alignment