Lead and design AI strategies for biologics discovery and engineering, with a focus on AI–wet lab integration and accelerated translation of computational findings to experiments
Job Summary
Lead and design AI strategies for biologics discovery and engineering, with a focus on AI–wet lab integration and accelerated translation of computational findings to experiments.
Drive the generation, curation, and utilization of high-quality wet-lab data; provide actionable feedback to experimental teams for optimizing data production for ML applications.
The annual base pay for this position ranges from $116,670.40 - $175,005.60.
Matching Summary
Lead and design AI strategies for biologics discovery and engineering, with a focus on AI–wet lab integration and accelerated translation of computational findings to experiments.
Salary
Base: $116,670.40 - $175,005.60; Bonus/Equity: eligibility for various incentives including short-term incentive bonuses and equity-based awards; Benefits: qualified retirement programs, paid time off, health, dental, and vision coverage
Skills & Requirements
Must-have
AI/ML for biological problems
protein language models
de novo protein design
multi-modal data integration
Python and AI/ML frameworks
wet-lab data generation and curation
Nice-to-have
structural informatics expertise
molecular dynamic simulation
agentic AI integration
external scientific community presence
Key Requirements
Master and 2+ years experience or PhD and 0+ years experience
Substantial academic or industry experience
Hands-on track record in ML/DL for protein analysis
Experience leading computational and experimental biology initiatives
Proficiency with Python and major AI/ML frameworks