Senior Researcher - Machine Learning for Life Sciences - Microsoft Research

Microsoft Corporation

Redmond, WA

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JOB DETAILS

SALARY

$119,800–$234,700 Per Year

SKILLS

Academic Research, Artificial Intelligence (AI), Benchmarking, Bioinformatics, Biology, Biomedicine, Compensation and Benefits, Computer Testing, Deep Learning, Develop Methodologies, Enterprise Applications, Experiment Design, Futures, Genomics, Health Science, Healthcare, Integrated Circuits (ICs), Machine Learning, Microscopy, Microsoft Product Family, Proteomics, Publications, Research Skills, Scientific Research, Software Design, Software Development, Technical Research, Writing Skills

LOCATION

Redmond, WA

POSTED

22 days ago

**Overview** 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 working on 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 us 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 a diverse set of backgrounds, and execute it as a member of that research team. Successful applicants will bring deep expertise about AI and will be passionate about making new discoveries in health and the life sciences. _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._ _\#Research_ **Responsibilities** + Design, implement, and evaluate novel methodologies for scientific discovery through artificial intelligence, non-exhaustively 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 of interest. + System Optimization: Develop approaches for inference-time optimization of interaction patterns with deep learning models, e.g., context optimization, intelligent sampling, etc. + In addition to these specific technical areas, candidates will be required to participate in robust, repeatable team-based technical research and be effective communicators. **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** + 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. This includes 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. 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. (https://careers.microsoft.com/v2/global/en/accessibility.html)

About the Company

Microsoft Corporation

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We also offer unparalleled depth and breadth of career opportunities. As an industry leader in multiple fields, working for Microsoft means being able to do whatever you feel passionate about—and being able to make an impact in that field. From day one, we give our employees significant responsibility. This means that you’ll know that you directly contributed to something that has a positive impact on people worldwide. Whether you choose to work in management, dive deep into the newest technology, or explore multiple professions, you’ll find everything you need at Microsoft to drive your career—and to make a difference.

WE GET IT – YOU’RE MORE THAN YOUR JOB
Everyone works differently and is motivated by different things. We also understand that there’s more to you than your job. That’s why we offer competitive pay and a wide assortment of benefits-- to help you make the most of life at work and away from it.

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COMPANY SIZE

10,000 employees or more

INDUSTRY

Other/Not Classified

FOUNDED

1975

WEBSITE

http://www.microsoft.com

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