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.
Evaluate, recommend, and implement emerging technologies, adopting best practices in data science, computational biology, and protein engineering to ensure world-class innovation and delivery.
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 short-term incentive bonuses, equity-based awards; Benefits: qualified retirement programs, paid time off, health, dental, and vision coverage
Skills & Requirements
Must-have
AI/ML for biologics discovery
Protein language models
De novo protein design
Multi-modal AI approaches
Python and AI/ML frameworks
Wet-lab data generation and feedback
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
AI/ML application to biological problems
Machine learning/deep learning for protein analysis