Postdoctoral Fellow, Materials Science & Characterization PPG Analytical
Core
Lead generation, integration, and curation of analytical datasets for targeted lipid nanoparticles (tLNPs) using experimental data from internal and external sources, applying machine learning to identify quality-relevant attributes.
Role type
Postdoctoral Fellow, Materials Science & Characterization
Builds
Multimodal characterization datasets for tLNP development
Domain
Biopharmaceuticals / Nanomedicine / Materials Science
Deliverable
production ML models
Required skills
tLNP formulation and characterization, advanced analytical instrumentation (Cryo-EM, SAXS, DLS, NTA, DSC), experimental design, data curation, multivariate statistics, interpretable machine learning
Preferred skills
Experience with external CRO data integration, scientific publication record
Technologies
Cryo-EM, SAXS, DLS, NTA, DSC, fluorescence, optical techniques
Responsibilities
Design and execute tLNP analytical experiments; curate and harmonize multimodal datasets; apply statistical and ML analyses to assess particle heterogeneity and stability; troubleshoot technical challenges; collaborate on scientific publications and presentations.
Seniority
Postdoctoral Fellow, research-focused IC
