Senior Researcher - Real World Evidence - Microsoft Research
Microsoft
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 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 Senior Researcher to join our efforts in developing and deploying new technologies at the intersection of AI and healthcare. We partner with premier medical centers and pharmaceutical companies and develop state-of-the-art deep learning, natural language processing (NLP), and multi-modal technologies to extract knowledge from billions of unstructured data records and sources to support biomedical research and development and clinical decision making. For more information visit Real-world Evidence - Microsoft Research.
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Responsibilities
The ideal candidate will collaborate with a team of leading 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 modelling.
- Collaborate with cross-functional teams to design and implement state-of-the-art systems by considering medical factors and responsible AI principles.
- Communicate findings to internal and external stakeholders, as well as the broader community through blogposts and publications in reputable academic venues
- Contribute to an evolving team with a growth mindset, creating clarity and influencing the team direction.
- Propose novel approaches for unsolved research problems.
Qualifications
Required Qualifications
- Doctorate in relevant field
- OR Master's Degree in relevant field AND 3+ years related research experience
- OR Bachelor's Degree in relevant field AND 4+ years related research experience
- OR equivalent experience.
Preferred Qualifications
- Doctorate in relevant field AND 3+ years related research experience
- OR Master's Degree in relevant field AND 6+ years related research experience
- OR Bachelor's Degree in relevant field AND 8+ years related research experience
- OR equivalent experience.
- Experience publishing academic papers as a lead author or essential contributor.
- Experience participating in a top conference in relevant research domain.
Research Sciences IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. 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 $158,400 - $258,000 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. 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 with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.