Microsoft Research Intern - Scientific & Regulatory Affairs Health Futures 

United States, Washington 

452926926

The use of generative AI in medicine holds much promise for future breakthroughs, as well as faster and less costly approval of new diagnostics and treatment therapies.As the focus of this internship, we would like to study the potential for how generative AI can be used in the drug development lifecycle to accelerate the approach to areas such as regulatory filings, generation of real world evidence, clinical trial documentation and audits. With the potential for this content to become increasingly reliant on AI generated content, we need to consider how both regulators and professionals engage and develop trust. You will collaborate with a team of top-notch researchers, medical practitioners, and regulatory professionals to explore an area such as the below, based on current research directions:

• Research the application of based on generative AI to quality management systems and processes related to preparation of regulatory filings in the drug development context.
• Evaluate the development of regulatory frameworks in health and life sciences, particularly as related to the use of AI to generate real world evidence, to educate a diverse audience and facilitate discussions about the impact of regulation on our work.
• Collaborate with our interdisciplinary team to identify implementation challenges and best practices for responsible and safe deployment of generative AI technologies in health and life sciences technology research.

Required Qualifications

• Enrolled in a Masters, PhD, or Graduate program related to digital health policy, regulation, user research and/or bioethics.
• At least 1 year of experience in a healthcare or life sciences R&D or policy setting.

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. 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

• You should have a general understanding of machine learning and data science practices in health and life sciences, and a desire to study the policy implications of emerging technologies in these domains.
• You are passionate about the potential of technology and AI to improve human health.
• You have experience/interest in conducting research into regulatory, legal and/or policy impacts of AI systems within the domain of healthcare and/or life-sciences.
• You have demonstrated ability to document research into complex legal and/or policy frameworks.
• Efficient analytical, organizational, and communication skills with a passion for collaborative work.
• You enjoy seeing things from different points of view, creatively distilling the essence of ideas, and creating clarity in complexity.

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