Research Intern - Biomedical AI for Precision Health

Research Internships at Microsoft provide a dynamic environment for research careers with a network of world-class research labs led by globally-recognized scientists and engineers, who pursue innovation in a range of scientific and technical disciplines to help solve complex challenges in diverse fields, including computing, healthcare, economics, and the environment.

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.

Microsoft Research's Health Futures is an interdisciplinary team of scientists, engineers, and medical doctors 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.

We are looking for an innovative, collaborative Research Intern to join our efforts at the intersection of AI and healthcare, where we partner with premier medical centers and develop state-of-the-art deep learning, natural language processing (NLP), and multi-modal technologies to extract knowledge from tens of millions of research publications, distill patient information from hundreds of millions of electronic health records (EHRs), and assimilate them with billions of genomics data points to support biomedical research and clinical decision making. For more information visit Real-world Evidence - Microsoft Research

Required Qualifications

• 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. 

Preferred Qualifications

• 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.

The base pay range for this internship is USD $6,550 - $12,880 per month. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $8,480 - $13,920 per month.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-intern-pay 

Microsoft accepts applications and processes offers for these roles on an ongoing basis.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.  We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

Research Interns put inquiry and theory into practice. Alongside fellow doctoral candidates and some of the world’s best researchers, Research Interns learn, collaborate, and network for life. Research Interns not only advance their own careers, but they also contribute to exciting research and development strides. During the 12-week internship, Research Interns are paired with mentors and expected to collaborate with other Research Interns and researchers, present findings, and contribute to the vibrant life of the community. Research internships are available in all areas of research, and are offered year-round, though they typically begin in the summer.

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.