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Research Intern - Redmond, United States - Microsoft Corporation
Description
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 research internship with the Microsoft Health Futures ) group at Microsoft Research in Redmond (US).
To this end, we are responsible for research, incubations, and moonshots that drive cross-company strategy, partnerships, and real-world impact across healthcare and the life sciences.
We are an interdisciplinary team of experts and practitioners who endeavor to develop next-generation methods and tools for precision health.
Health regulatory policy is dynamic and multi-faceted, requiring an understanding of new and developing technologies, the health and life sciences industry, and the principles and considerations informing policy in areas such as safety and reliability software as a medical device, real world evidence, privacy, ethics, and responsible AI.
The Scientific and Regulatory Affairs team of Health Futures is seeking a Healthcare Regulatory and Policy research intern to review and synthesize developments in the rapidly evolving regulatory landscape impacting precision health and digital healthcare globally.
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 co-audit tools ) 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.
As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals.
Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
ResponsibilitiesResearch 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.
QualificationsRequired 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.
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 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.
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.
There is a different range applicable to specific work locations, with the San Francisco Bay area and New York City Metropolitan area, and the base pay range for this role in those locations is USD $6,690 -$11,030 per month.
The base pay range for this internship is- Applied Sciences IC3 : USD $6,290 -$12,170 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 $8,060 - $13, 240 per month.
Certain roles may be eligible for benefits and other compensation.Find additional benefits and pay information here:
)
Microsoft accepts applications and processes offers for these roles on an ongoing basis.
Microsoft is an equal opportunity employer.
Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances.
If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ) .
