Research Intern - AI for Biomedical Imaging Strategy

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.

This position is for a business strategy internship with the Microsoft Health Futures group at Microsoft Research in Redmond (USA). Health Futures is responsible for research, incubation, and strategic partnerships that drive cross-company strategy, as well as value creation in the health and life sciences. We are an interdisciplinary team of researchers, scientists, engineers, biotechnologists, designers, social scientists, strategists, healthcare experts, and medical professionals who endeavor to develop next-generation methods and tools for health and healthcare. We offer a unique vibrant environment that features cutting-edge academic research and real-world delivery, with close feedback loops and rapid iterations among all three, much like a lean startup. Our mission is to empower every person on the planet to live a healthier future.

 

We are looking for an intern to join the Strategy & Operations team within Health Futures. Our team drives strategy, manages partnership opportunities, advises on regulatory strategy and compliance, and leads operations across Health Futures. Specifically, we are responsible for guiding the overall strategic vision of the organization, executing cross-functional operations, and leading partnership development in early stages of the project funnel, as well as closely supporting our research teams throughout the duration of their research.

 

You will be paired with mentors and play a critical role in the success of our current and future program investments by developing meaningful analyses from market and scientific data. The role will require an interdisciplinary approach and willingness to collaborate widely with projects and stakeholders across Health Futures and the broader Microsoft organization. This internship will be focused on our biomedical imaging strategy and partnerships.

Responsibilities

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.

Additional Responsibilities

• Perform market landscape analysis and contribute to the strategic vision for AI in biomedical imaging.
• Produce high quality discussion/presentation materials (e.g., landscape assessment, business case, etc.) to facilitate engaging discussions with internal and external stakeholders.
• Contribute to pipeline management by supporting partnership activities in biomedical imaging. 
• Work closely with technical, research, and business leads in Health Futures to document lessons learned and best practices.

 

Qualifications

Required Qualifications

• Current enrollment in an advanced degree program (PhD, MBA, MS / MA, etc.) with a graduation date after Summer 2025.

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

• At least two years of experience in a healthcare, radiology/imaging, or precision health business or policy setting.
• General understanding of machine learning use cases in healthcare.
• Understanding of AI business models and the impact of