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Postdoctoral Researcher, Experimental Data Generation & CRO Strategy

Microsoft· Research Sciences
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Hybrid (Berlin, Germany), Hybrid (Cambridge, UK)€8.2k/mointernshipPosted 4w ago

About the role

Postdoctoral researcher to design and lead experimental data-generation campaigns for the BioEmu project, combining experimental or computational biology with ML for biomolecular modeling and drug discovery. Role emphasizes cross-disciplinary collaboration, scalable data pipelines, and external-partner execution.

Responsibilities

  • Experimental campaign design, including areas such as: 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.
  • CRO and external-partner leadership, including areas such as: 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.
  • Data quality and interpretation, including areas such as: 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.
  • Dataset construction and model integration, including areas such as: 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.
  • Collaboration and research impact, including areas such as: 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.

Qualifications

  • PhD in Biology, Biophysics, Biochemistry, Molecular Biology, Protein Science, Bioengineering, Computational Biology, Molecular Modelling, or a related field, with experience designing, conducting, or analyzing biomolecular experiments and/or computational studies.
  • 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.

Skills

Required:Experimental design
Nice to have:CRO/vendor managementProtein production and characterizationData curation and ML-ready dataset constructionScripting/data analysis

Benefits

  • The base pay for this internship is € 8,191.00 per month.
  • The base pay for this internship is £ 6,655.00 per month.
  • Certain roles may be eligible for benefits and other compensation.
Last updated Sep 24, 2026. Interested? Apply on the company site.

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