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About the Role
Lead Turbine's AI and computational biology efforts as we scale our Virtual Assay platform. Build and mentor a world-class team, guide technical strategy, and ensure our AI capabilities remain at the forefront of the field. Ensure reliable, reproducible Virtual Assay capabilities while deepening our understanding of biology and improving our competitive position.
Responsibilities
- Build and maintain a healthy, well-staffed AI team equipped to deliver current products and anticipate future needs
- Coach and develop your department to operate seamlessly as part of a modern product organization
- Ensure all work streams are clearly connected to Virtual Assay development and that we extract learnings from each initiative
- Partner with our Lab team to streamline data flow—ensuring up-to-date data requests, efficient handoffs, and that generated data feeds productively into model development
- Drive the strategic direction of Virtual Assay development to position us as a differentiated, valuable player in the market
- Collaborate with our CTO to guide internal development toward a general virtual cell capable of zero-shot assay prediction
- Represent Turbine at international conferences and contribute to our visibility as a leader in AI-driven biology
Requirements
- Strong people leadership skills; ability to build trust, develop talent, and create a high-performing culture
- Direct experience building or working with AI inference tools at production complexity
- Established credibility and network in the AI in drug discovery space
- Strategic thinking about where AI creates real value, both in research and in commercial applications
- Comfort operating at the intersection of AI, biology, and product; you don't need to be a computational biologist, but you must be curious and capable of learning the domain
- Prior experience scaling AI teams or shipping AI products in regulated industries
- Exposure to or understanding of biological assays, phenotyping, or drug discovery
- Track record of publishing or speaking at major AI/ML conferences
Skills
- AI
- Computational Biology
- Deep Learning
- AI inference tools
- AI in drug discovery
- AI, biology, and product
- Biological assays
- Phenotyping
- Drug discovery
- Publishing
- Speaking at major AI/ML conferences
Experience Level
- VP level
About the Company
- Turbine is building Virtual Assays—AI-powered predictive models that can run biological experiments in silico.
- We're combining deep learning with a systematic approach to biology to enable faster, cheaper, more extensive testing.
- Our team is small, focused, and composed of researchers and engineers who care deeply about getting biology right.