Job Detail

Senior Researcher: Machine Learning - Microsoft Research AI for Science

Data Science and AI Full–time
ID: #10255
Posted: 2026-03-19
Salary

Description

## Full Description Deep learning has only just started its transformative impact on the natural sciences. In Microsoft Research AI for Science we are seeking to solve some of the fundamental challenges in the molecular sciences with deep learning. For our lab Berlin, Germany or Cambridge,UK-we are seeking exceptional Machine Learning Researcher candidates for a moonshot project in the field of molecular biology. Ifyou are passionate about this research area and believe you can make a lasting impact, we would love to receive your application. Microsoft's mission is to empower every person and every organization on the planet to achieve more, and we're dedicated to this mission across every aspect of our company. Our culture is centered on embracing a growth mindset and encouraging teams and leaders to bring their best each day. Join us and help shape the future of the world. This post will be open until the position is filled. When submitting your application, include your CV with a list of publications as an attachment. A completed or nearly completed PhD or comparable industry research experience is expected. Responsibilities: • Contribute to and drive an ambitious, high-impact, research agenda development on machine learning in the molecular sciences. • Develop efficient and expressive machine learning models for biomolecules. • Develop strategies for integrating large-scale heterogeneous model data from molecular simulation and laboratory experiments, and identifying untapped data sources. • Write research code to test new approaches or develop novel theoretical and practical insights. • Prepare technical papers and presentations. • Working on a day-to-day basis with an international and interdisciplinary research team on one overarching research goal. • Being fully committed to one research project that may take several years to come to fruition and prioritizing team success over individual research interests. Qualifications: Required • Experienced in Python software development with object-oriented design and basic deployment, ideally demonstrated by published software projects (e.g., github). • Experienced in developing and implementation of deep learning systems (e.g., in PyTorch or JAX). • Experienced in modelling or simulation of molecules, ideally biomolecules. • High-quality publications in leading disciplinary or interdisciplinary journals or conferences. Preferred • Experience with protein science or bioinformatics. • Experience with interpreting and including experimental data into models, e.g., Cryo-EM. • Understanding of computational statistics and experience with generative model development (e.g., diffusion or flow-models). • Experience in method development for molecular dynamics and statistical mechanics. • Track-record of developing and optimizing novel deep learning architectures. #Research #AI for Science Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form . Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

Hard Skills 6
Skill Source Confidence
Python llm_hard
100%
Deep Learning llm_hard
100%
PyTorch llm_hard
100%
GitHub llm_hard
80%
Statistics llm_hard
80%
Neural Networks llm_hard
80%
Soft Skills 13
Skill Source Confidence
Digital Literacy llm_soft
100%
Presentation Skills llm_soft
100%
Analytical Thinking llm_soft
100%
Research Skills llm_soft
100%
Written Communication llm_soft
100%
Technical Writing llm_soft
100%
Teamwork llm_soft
100%
Collaboration llm_soft
100%
Problem-Solving llm_soft
100%
Critical Thinking llm_soft
100%
Cross-Functional Communication llm_soft
80%
Creative Problem Solving llm_soft
80%
Continuous Learning llm_soft
80%
Apply Options
Publisher Direct Link
AI Search No Apply
AI Search No Apply
API Logs for this Job
Query Country Status Response ms Created
Senior Researcher: Machine Learning - Microsoft Research AI for Science extracted 5687 2026-03-22 02:20
Senior Researcher: Machine Learning - Microsoft Research AI for Science classified 399 2026-03-21 20:58
junior research scientist in Cambridge gb duplicate 4822 2026-03-21 17:17
junior deep learning engineer in Cambridge gb duplicate 6681 2026-03-21 17:12
junior AI developer in Cambridge gb duplicate 3661 2026-03-21 17:07
junior ML engineer in Cambridge gb duplicate 6140 2026-03-21 17:01
junior data scientist in Cambridge gb processed 3327 2026-03-21 16:55
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  "job_description": "## Full Description\n\nDeep learning has only just started its transformative impact on the natural sciences. In Microsoft Research AI for Science we are seeking to solve some of the fundamental challenges in the molecular sciences with deep learning.\n\nFor our lab Berlin, Germany or Cambridge,UK-we are seeking exceptional Machine Learning Researcher candidates for a moonshot project in the field of molecular biology. Ifyou are passionate about this research area and believe you can make a lasting impact, we would love to receive your application.\n\nMicrosoft's mission is to empower every person and every organization on the planet to achieve more, and we're dedicated to this mission across every aspect of our company. Our culture is centered on embracing a growth mindset and encouraging teams and leaders to bring their best each day. Join us and help shape the future of the world.\n\nThis post will be open until the position is filled. When submitting your application, include your CV with a list of publications as an attachment. A completed or nearly completed PhD or comparable industry research experience is expected.\n\nResponsibilities:\n\n• Contribute to and drive an ambitious, high-impact, research agenda development on machine learning in the molecular sciences.\n\n• Develop efficient and expressive machine learning models for biomolecules.\n\n• Develop strategies for integrating large-scale heterogeneous model data from molecular simulation and laboratory experiments, and identifying untapped data sources.\n\n• Write research code to test new approaches or develop novel theoretical and practical insights.\n\n• Prepare technical papers and presentations.\n\n• Working on a day-to-day basis with an international and interdisciplinary research team on one overarching research goal.\n\n• Being fully committed to one research project that may take several years to come to fruition and prioritizing team success over individual research interests.\n\nQualifications:\n\nRequired\n\n• Experienced in Python software development with object-oriented design and basic deployment, ideally demonstrated by published software projects (e.g., github).\n\n• Experienced in developing and implementation of deep learning systems (e.g., in PyTorch or JAX).\n\n• Experienced in modelling or simulation of molecules, ideally biomolecules.\n\n• High-quality publications in leading disciplinary or interdisciplinary journals or conferences.\n\nPreferred\n\n• Experience with protein science or bioinformatics.\n\n• Experience with interpreting and including experimental data into models, e.g., Cryo-EM.\n\n• Understanding of computational statistics and experience with generative model development (e.g., diffusion or flow-models).\n\n• Experience in method development for molecular dynamics and statistical mechanics.\n\n• Track-record of developing and optimizing novel deep learning architectures.\n\n#Research #AI for Science\n\nMicrosoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form .\n\nBenefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.",
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