Microsoft Research Intern - Biomedical AI Precision Health 

United States, Washington 

352623701

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. Artificial intelligence (AI) can play a key role in this transformation by discerning knowledge from data and separating signal from noise.

We aspire to advance AI toward developing health systems that can instantly incorporate any new information to optimize delivery and accelerate discovery. A key bottleneck is that current health systems are mired in overwhelming unstructured data and non-scalable manual processing. Recent advances in generative AI, such as large language models (LLMs), offer unprecedented “universal structuring” capabilities that can supercharge health information processing and unlock many high-value applications in real-world evidence and precision health.

• Currently enrolled in a PhD program in Computer Science, or a related STEM field.

Other Requirements

• 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. After you submit your application, a request for letters may be sent to your list of references on your behalf. Note that reference letters cannot be requested until after you have submitted your application, and furthermore, that they might not be automatically requested for all candidates. You may wish to alert your letter writers in advance, so they will be ready to submit your letter.

• 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.
• Passionate about real-world applications and impact.
• Proficient verbal and writing communication skills.
• Track record of publications in top ML or NLP venues.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

The Research Intern will collaborate with a team of top-notch scientists, engineers, and biomedical practitioners to:

• 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.
• 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.