Microsoft is looking to advance AI for precision healthcare by developing systems that can instantly incorporate new information to optimize delivery and accelerate discovery. A key bottleneck is that current health systems are overwhelmed with unstructured data and non-scalable manual processing. Generative AI, such as LLMs, can help by structuring health information and unlocking applications in real-world evidence and precision health.
Requirements
- Experience with machine learning, natural language processing or a related field.
- Experience with deep learning platforms, such as PyTorch or Tensor Flow.
- Experience with large datasets and distributed computing.
- Experience in working with biomedical data.
- Track record of publications in top ML or NLP venues.
Responsibilities
- Conduct analyses using multimodal real-world data (RWD) sources such as electronic health records, medical imaging, 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.
- Propose novel approaches for unsolved research problems.
Other
- Currently enrolled in a PhD program in Computer Science, or a related STEM field.
- Research Interns are expected to be physically located in their manager’s Microsoft worksite location for the duration of their internship.
- In addition to the qualifications below, you’ll need to submit a minimum of two reference letters for this position as well as a cover letter and any relevant work or research samples.
- Passionate about real-world applications and impact.
- Proficient verbal and writing communication skills.
