2027 Spring Post-Doctoral Fellowship Opportunities, Cambridge, MA
Core
Post-doctoral fellow developing AI-enabled approaches for impurity identification, structural elucidation, and mechanistic understanding of process- and degradation-related impurities in pharmaceutical development.
Role type
Post-doctoral research fellow (analytical chemistry/AI)
Builds
High-quality experimental datasets and AI models for analytical sciences
Domain
Biopharmaceuticals / Analytical Chemistry / AI
Deliverable
production ML models
Required skills
Mass spectrometry (LC-MS/MS, high-resolution), structural elucidation, Python/R programming, data analysis
Preferred skills
None stated
Technologies
Python, R, LC-MS/MS, high-resolution mass spectrometry
Responsibilities
Apply state-of-the-art AI tools to identify and characterize impurities; develop experimental datasets to train and validate AI models; collaborate with analytical scientists, synthetic chemists, and data scientists
Seniority
Post-doctoral fellow