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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Postdoctoral Researcher, Experimental Data Generation & CRO Strategy - **Company:** Microsoft - **Location:** Cambridge, UK - **Contract:** Temporary contract - **Skills:** Data Analysis, Computational Biology, Computer Simulation, Data Files, Experimental Data, Python (Programming Language), Molecular Modeling, Scripting - **Published:** September 16, 2026 - **Apply:** https://dejobs.org/x/x/B4BDA6408BF5474C921A51B3227B1F97/job/ ## About the Role * PhD (or equivalent experience) in Biology, Biophysics, Biochemistry, Molecular Biology, Protein Science, Bioengineering, Computational Biology, Molecular Modelling, or a related field, with demonstrated expertise in either (a) biomolecular experimentation and quantitative assays or (b) computational methods and datasets for biomolecular systems. * Strong quantitative understanding of experimental measurements and their limitations. * Ability to coordinate complex projects and communicate clearly across experimental and computational teams. * Experience working with real-world biological, structural or biophysical datasets. * Ability to independently own and deliver research projects. Preferred/Additional Qualifications: * Experience managing CROs, vendors or distributed experimental collaborations. * Expertise in protein-protein interactions, binder design, affinity optimizationor high-throughput assay development. Familiar with techniques such as protein expression and purification, binding assays (SPR, BLI, ITC, cryo-EM), structural biology (X-ray crystallography, NMR), Mass Spec (HDX-MS, Cross-link Mass Spec). * Practical Python or equivalent scripting skills for data analysis, QC and workflow automation. * Experience in designing, curating or standardizing datasets for machine-learning applications. Interest in model-guided experimental design, drug discovery or therapeutic applications. This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. ## Description 1.Experimental campaign design, Examples of responsibilities include: * Design scalable campaigns for biomolecular interactions, conformational dynamics and related protein measurements. * Select systems, constructs, assays and controls based on scientific value, feasibility, diversity, throughput and cost. * Anticipate bottlenecks and define success criteria, contingency plans and follow-up experiments. 2. CRO and external-partner leadership, Examples of responsibilities include: * Translate research goals into clear work packages, milestones and experimental requirements. * Coordinate parallel programs with CROs and academic collaborators, review progress and guide corrective iterations. * Provide scientific direction on protein production, assay development and biophysical or structural characterization. 3. Data quality and interpretation, Examples of responsibilities include: * Review raw and processed experimental outputs, including binding curves and kinetic measurements. * Diagnose artifacts, failed fits and systematic assay problems using quantitative and biophysical reasoning. * Define reproducible QC criteria and scalable triage processes beyond manual review. 4. Dataset construction and model integration, Examples of responsibilities include: * Convert heterogeneous experimental outputs into traceable, model-ready datasets with appropriate metadata and provenance. * Work with computational researchers to prioritize systems, evaluate model predictions and design informative follow-up experiments. * Use basic scripting and data-analysis tools to organize, inspect and summarize experimental datasets. 5. Collaboration and research impact, Examples of responsibilities include: * Communicate experimental findings, limitations and risks to biological and computational collaborators. * Drive projects from ambiguous questions to usable datasets, scientific conclusions and publications. * Contribute to the experimental data strategy for future BioEmu models. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [JavaScript? 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