Postdoctoral Researcher, Experimental Data Generation & CRO Strategy
Core
Design scalable experimental campaigns for biomolecular interactions and conformational dynamics to generate data for BioEmu models and drug discovery.
Role type
Postdoctoral Researcher (Experimental Data Generation & CRO Strategy)
Builds
Experimental datasets for machine-learning models (BioEmu) and protein characterization pipelines.
Domain
Biophysics / Structural Biology / Drug Discovery
Deliverable
production ML models
Required skills
Experimental campaign design, biomolecular interaction analysis, CRO management, quantitative biophysical reasoning, project coordination, protein production/assay development, data curation for ML, Python scripting.
Preferred skills
Experience with binder design, affinity optimization, high-throughput assay development, model-guided experimental design.
Technologies
SPR, BLI, ITC, cryo-EM, X-ray crystallography, NMR, HDX-MS, Cross-link Mass Spec, Python.
Responsibilities
Design scalable campaigns for biomolecular interactions and conformational dynamics; Coordinate parallel programs with CROs and academic collaborators; Diagnose assay artifacts and failed fits using quantitative reasoning; Translate research goals into work packages and milestones; Provide scientific direction on protein production and structural characterization; Curate datasets for machine-learning applications.
Seniority
Postdoctoral, hands-on IC
