AI for Science Postdoctoral Researcher - Biomolecular AI & Experimental Data Integration Job at Microsoft Corporation (Cambridge)

Job Description

At Microsoft Research AI for Science we seek highly motivated Postdoctoral Researchers for experimental data integration into the next Biomolecular Emulator (BioEmu) model. Microsoft Research AI for Science focuses on the development of machine learning and artificial intelligence methods for transforming molecular simulation and discovery of novel materials, drugs and chemical reactions. 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.

Job Responsibility

Bridging Models with Real-World Experimental Signals
Experimental Data Strategy & Dataset Development
Model-Aware Experimental Design
Scalable Data Processing & Automation
Collaboration & External Coordination
Independent Research & Impact

Requirements

Completed or nearly complete PhD or equivalent experience in a science or engineering discipline
Deep expertise in at least one relevant area, such as machine learning for biomolecular systems, molecular modeling and simulation, structural biology, experimental protein assays, or statistical mechanics
Strong Python skills and experience building data analysis, modeling, or machine learning pipelines
Experience working with real-world biological, structural, experimental, or molecular datasets
Ability to work across disciplines and communicate complex ideas clearly
Track record of independently owning and delivering research projects

Nice to have

Experience connecting computational models to experimental data, such as cryo-EM, X-ray, NMR, SPR, mass spectrometry, NGS, or other assay readouts
Background in generative models, diffusion models, representation learning, molecular dynamics, or statistical mechanics for biomolecular systems
Experience with large-scale dataset generation, curation, or automated analysis workflows
Familiarity with experimental workflows such as protein expression, purification, interaction assays, or high-throughput systems
Interest in closing the loop between modeling and experiment
Experience or interest in drug discovery, therapeutics, or real-world biomedical applications
Ability to collaborate with external partners and align research goals with practical health challenges

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AI for Science Postdoctoral Researcher - Biomolecular AI & Experimental Data Integration

Job Description

Job Responsibility

Requirements

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AI for Science Postdoctoral Researcher - Biomolecular AI & Experimental Data Integration

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