Senior Researcher - Machine Learning for Life Sciences - Microsoft Research

About the role

Health Futures is a mission-focused organization within Microsoft Research, working at the forefront of artificial intelligence, healthcare, and life sciences research. We are a global and diverse team of engineers, scientists, and domain experts who are expanding the technological frontier of health and life sciences through deep research. We offer a unique and vibrant environment that features innovative academic research, enterprise software development, and real-world delivery, with close feedback loops and rapid iterations between all three.

Our mission is to empower every person on the planet to live a healthier future. We are looking for a Senior Researcher - Machine Learning for Life Sciences to help advance the ways artificial intelligence can accelerate and advance discovery in biomedicine and the life sciences. This role is ideal for a candidate with intellectual curiosity who wants to craft a research agenda, articulate it clearly to team members with diverse backgrounds, and execute it as part of that research team. Successful applicants will bring deep expertise in AI and a passion for making new discoveries in health and the life sciences.

Responsibilities

• Design, implement, and evaluate novel methodologies for scientific discovery through artificial intelligence, including techniques around post-training, inference-time optimization, interpretability, and experimental design.
• Application-specific benchmarking and interpretation: Invent and apply techniques for developing a deep understanding of the capabilities of deep learning models as they relate to specific biological data domains and life sciences research questions.
• System Optimization: Develop approaches for inference-time optimization of interaction patterns with deep learning models, e.g., context optimization, intelligent sampling.
• Participate in robust, repeatable team-based technical research and be an effective communicator.

Qualifications

Required Qualifications

• Doctorate in a relevant field
• OR Master’s Degree in a relevant field AND 3+ years of related research experience
• OR Bachelor’s Degree in a relevant field AND 4+ years of related research experience
• OR equivalent experience.

Preferred Qualifications

• Experience creating and using generative AI or other ML techniques in the life sciences.
• Experience working with biological data (e.g., genomics, transcriptomics, proteomics, microscopy), applying both advanced methods and standard bioinformatics tools.
• Proven track record in bioinformatic algorithm development, benchmarking, interpretation, and application.
• Experience innovating software, systems, or workflows that leverage generative AI-based systems to solve real-world problems in the life sciences, including techniques like context engineering, prompt optimization, and optimization of test-time compute.
• Experience creating robust, repeatable technical research artifacts as part of an interdisciplinary team.
• Experience publishing academic papers as a lead author or essential contributor.

Pay

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 $160,200 - $261,000 per year. Certain roles may be eligible for benefits and other compensation.