Uk Residency Programme

3 weeks ago


Cambridge, United Kingdom Microsoft Full time

The advent of big data heralds a new era of precision healthcare, where medicine is tailored to individuals, reducing cost, suffering, and missed treatment opportunities. AI can play a key role in this transformation by discerning knowledge from data and separating signal from noise.
- Health Futures is an interdisciplinary team of scientists, engineers, and medical practitioners who endeavor to develop next-generation AI for precision healthcare. We offer a unique vibrant environment that features cutting-edge academic research, enterprise software development, and real-world delivery, with close feedback loops and rapid iterations among all three, much like a lean startup.

The research as an AI resident will involve building causal and multimodal models with unstructured electronic health records such as text, images, and multi-omics to scale biomedical evidence generation from real-world observational data. This role offers a unique opportunity to work on real health problems while being exposed to and developing state-of-the-art approaches in causal and multimodal learning with the potential of impacting millions of patients around the world.
- Come and join our vibrant team as part of our two-year residency program and contribute to this vision to help patients around the world have a better future.

healthfutures #RWE #biomedicalAI #LLM #GenAI

**Responsibilities**:

- Conduct analyses using real-world data (RWD) sources such as electronic health records, medical images, and multi-omics to explore opportunities for modeling.
- Collaborate with cross-functional teams to design and implement state-of-the-art systems by considering medical factors and responsible AI principles.
- Communicate findings to internal and external stakeholders.
- Contribute to an evolving team with a growth mindset, creating clarity and influencing the team direction

**Qualifications**:
**Required/Minimum Qualifications**:
**Preferred/Additional Qualifications**:

- Experience in working with biomedical data a plus; willingness to learn a must.
- Impact driven mindset and ability work and learn in a collaborative and diverse environment.
- Strong verbal and writing communication skills.
- Hands-on experience implementing machine learning models and software engineering skills for prototyping and testing new research ideas.
- Track record of publications in top ML, NLP, or computer vision venues



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