🚀 Researcher,BioEmu (Machine Learning & Molecular Biology)
Hiring now — limited positions available!
Microsoft Corporation
- 📍 Location: Cambridge
- 📅 Posted: Oct 16, 2025
At Microsoft Research AI for Science ( , we believe machine learning and artificial intelligence has the potential to transform scientific modelling and discovery crucial for solving the most pressing problems facing society including sustainable materials and discovery of new drugs.
We seek a highly motivated Researcher to join our Biomolecular Emulator (BioEmu) team. The BioEmu project aims to model the dynamics and function of proteins --- how they change shape, bind to each other, and bind small molecules. This approach will help us to understand biological function and dysfunction on a structural level and lead to more effective and targeted drug discovery. Our BioEmu-1 model was published in Science ( (see our blog post ( for links to our open-source software and other resources, as well as this explainer video ( ).
**Why this role is exciting**
Youu2019ll work on problems that donu2019t yet have wellu2011defined benchmarks. Where part of the innovation is deciding what to optimise and proving it matters for biology. Itu2019s an opportunity to bridge stateu2011ofu2011theu2011art ML with meaningful biomedical impact in a highly collaborative research environment.
**Contract Duration: 2 Years**
**Location: Berlin, Germany Or Cambridge, UK**
**Responsibilities**
**Create novel ML techniques** and the datasets needed to train them for biomolecular structure, dynamics, and function.
**Design, implement, and iterate on model architectures and training algorithms** (e.g., diffusion/sequenceu2013structure models, representation learning).
**Define success where standards donu2019t exist:** propose sound benchmarks and metrics to evaluate model quality and realu2011world utility.
**Build highu2011quality research code** (Python/PyTorch) with reproducible workflows and robust data pipelines.
**Partner across disciplines** u2014communicate clearly with ML researchers and experimental/computational biologists; present results and influence direction.
**Work autonomously and as a team player,** regularly reporting insights, risks, and next steps.
**Thrive on imperfect, heterogeneous data,** applying rigorous data curation, augmentation, and uncertaintyu2011aware evaluation to u201cmessyu201d realu2011world datasets.
**Aim for impact:** translate promising ideas into artifacts others can use (papers, code, models, datasets).
**Qualifications**
**Required/Minimum Qualifications:**
**Masters or PhD or equivalent experience** in Machine Learning, Physics, Chemistry, or a related discipline.
Experience developing computational methods or machine learning models.
Strong communication skills to work effectively in an interdisciplinary team, including explaining technical concepts to collaborators from diverse backgrounds.
**Other Requirements:**
Candidates should have deep expertise in some discipline relevant to the project, for example:
Deep learning methods in structural biology
Designing and producing large scale datasets for machine learning
Collaborative code development in a shared codebase
Large-scale, distributed model training and other workflows
Computational methods to make use of real-world biological data (cryo-EM, binding affinity assays, etc.)
Computational biology / bioinformatics workflows
Molecular dynamics simulation, rare event sampling and statistical mechanics
**Preferred/Additional Qualifications:**
Capability to align research goals with external collaborators and apply computational data generation efforts and model development to real-world health challenges such as drug design
Microsoft is an equal opportunity employer. Consistent with applicable law, 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 and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( .
We seek a highly motivated Researcher to join our Biomolecular Emulator (BioEmu) team. The BioEmu project aims to model the dynamics and function of proteins --- how they change shape, bind to each other, and bind small molecules. This approach will help us to understand biological function and dysfunction on a structural level and lead to more effective and targeted drug discovery. Our BioEmu-1 model was published in Science ( (see our blog post ( for links to our open-source software and other resources, as well as this explainer video ( ).
**Why this role is exciting**
Youu2019ll work on problems that donu2019t yet have wellu2011defined benchmarks. Where part of the innovation is deciding what to optimise and proving it matters for biology. Itu2019s an opportunity to bridge stateu2011ofu2011theu2011art ML with meaningful biomedical impact in a highly collaborative research environment.
**Contract Duration: 2 Years**
**Location: Berlin, Germany Or Cambridge, UK**
**Responsibilities**
**Create novel ML techniques** and the datasets needed to train them for biomolecular structure, dynamics, and function.
**Design, implement, and iterate on model architectures and training algorithms** (e.g., diffusion/sequenceu2013structure models, representation learning).
**Define success where standards donu2019t exist:** propose sound benchmarks and metrics to evaluate model quality and realu2011world utility.
**Build highu2011quality research code** (Python/PyTorch) with reproducible workflows and robust data pipelines.
**Partner across disciplines** u2014communicate clearly with ML researchers and experimental/computational biologists; present results and influence direction.
**Work autonomously and as a team player,** regularly reporting insights, risks, and next steps.
**Thrive on imperfect, heterogeneous data,** applying rigorous data curation, augmentation, and uncertaintyu2011aware evaluation to u201cmessyu201d realu2011world datasets.
**Aim for impact:** translate promising ideas into artifacts others can use (papers, code, models, datasets).
**Qualifications**
**Required/Minimum Qualifications:**
**Masters or PhD or equivalent experience** in Machine Learning, Physics, Chemistry, or a related discipline.
Experience developing computational methods or machine learning models.
Strong communication skills to work effectively in an interdisciplinary team, including explaining technical concepts to collaborators from diverse backgrounds.
**Other Requirements:**
Candidates should have deep expertise in some discipline relevant to the project, for example:
Deep learning methods in structural biology
Designing and producing large scale datasets for machine learning
Collaborative code development in a shared codebase
Large-scale, distributed model training and other workflows
Computational methods to make use of real-world biological data (cryo-EM, binding affinity assays, etc.)
Computational biology / bioinformatics workflows
Molecular dynamics simulation, rare event sampling and statistical mechanics
**Preferred/Additional Qualifications:**
Capability to align research goals with external collaborators and apply computational data generation efforts and model development to real-world health challenges such as drug design
Microsoft is an equal opportunity employer. Consistent with applicable law, 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 and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( .
👉 Apply Now
Hurry — interviews are being scheduled daily!