Senior Researcher - Real World Evidence - Microsoft Research

The advent of big data heraldsa newera 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 separatingsignalfrom noise.

We aspire to advance AI toward developing health systems that can instantly incorporate anynew informationtooptimizedelivery 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 whoendeavorto develop next-generation AI for precision healthcare. We offer a unique vibrant environment that featurescutting-edgeacademic 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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At Microsoft, our mission-to empower every person and every organization on the planet to achieve more-guides how we partner with customers to deliver trusted, impactful solutions. With a growth mindset culture, we innovate responsibly and measure success by shared progress-people, teams, and customers. Join us to do meaningful work that changes the world and helps shape what's next for everyone.

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 formodelling.
• 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.

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.