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17 hours ago
The position of Healthcare AI Fellow is designed to deliver cutting-edge Life Sciences and Specialty Healthcare solutions.
A key aspect of this role is the development of highly customized, privacy-first AI solutions that empower healthcare providers to make data-driven decisions.
Key responsibilities include:
- Designing, building, and refining multi-agent, LLM-driven AI pipelines to drive innovation in the field of Healthcare AI.
- Developing unique evaluation frameworks and tooling to shape the team's approach to engineering and solution delivery.
- Collaborating with clinicians, data architects, and seasoned ML engineers to solve complex problems and drive rapid iteration.
To be successful in this role, candidates should possess:
- Advanced Python skills and expertise in at least one major ML framework (PyTorch, TensorFlow, JAX).
- A proven track record of deploying robust, production-grade AI solutions.
- Demonstrated ability to take ownership of outcomes and drive impact.
Nice-to-have skills include experience with retrieval-augmented generation, vector databases, or agent orchestration. Familiarity with healthcare standards and constraints is also desirable, although training will be provided.
This role offers direct mentorship from pioneering leaders in Healthcare AI, immediate ownership of impactful projects, and an accelerated professional trajectory in a high-engagement culture.
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