Senior Scientist, AI-Assisted Lab Optimization | On site - Full Time
Core
Lead a hands-on, AI-in-the-loop wet lab R&D program to optimize viral enrichment, nucleic acid extraction, and sequencing library preparation protocols using frontier AI models as collaborative partners.
Role type
Senior Scientist, AI-Assisted Lab Optimization
Builds
Optimized wet lab protocols for viral detection and biosecurity uplift
Domain
Biosecurity / Molecular Biology / AI-Driven R&D
Deliverable
production ML models
Required skills
Viral enrichment, nucleic acid extraction, NGS library preparation, frontier AI tool fluency, experimental design, quantitative data analysis, protocol development, lab automation coordination, QA/QC documentation
Preferred skills
Metagenomic sequencing, environmental sample handling (wastewater, soil, marine), RNA work, liquid handling automation (Opentrons, Hamilton, Tecan), bioinformatics, Python/R scripting, biosecurity mission experience
Technologies
Opentrons, Hamilton, Tecan, Python, R
Responsibilities
Design and execute structured optimization experiments for viral enrichment and library prep; Partner with frontier AI models to propose and prioritize protocol modifications; Build QC feedback loops aggregating historical sequencing data; Benchmark results to establish reproducible metrics; Design logging systems for annotating AI-human interactions; Produce case studies on AI uplift in wet lab settings; Maintain electronic lab notebooks and uphold rigorous QA/QC.
Seniority
Senior, hands-on IC
