Scientist I, Synthetic Biology
Core
Develop pooled screens to test hundreds of thousands of protein variants in parallel to identify protein binders and modulators using synthetic biology, DNA libraries, and machine learning.
Role type
Scientist I, Synthetic Biology (Experimental IC)
Builds
Pooled screening workflows for protein binding and functional readouts
Domain
Biotechnology / Synthetic Biology / Drug Discovery
Deliverable
production ML models
Required skills
Pooled binding screen design, DNA library design, Next-generation sequencing (NGS), Recombinant protein production, Python scripting, Quantitative reasoning, Experimental troubleshooting
Preferred skills
Mammalian cell engineering, Membrane protein studies, CRISPR, Lentiviral transduction, Transposon-based integration, AI-assisted coding tools
Technologies
Python, Cursor, LLM-based platforms
Responsibilities
Build pooled screening workflows from assay setup through data interpretation; Establish reliable assay conditions and quantitative measures; Identify opportunities to test unconventional hypotheses for drug program acceleration; Synthesize findings into recommendations and present to cross-disciplinary teams; Use quantitative reasoning and modeling to inform experimental choices; Take ownership of applied biology projects from concept to delivery.
