VP of AI

Internetwork Expert; Greater London; On-site; GBP 180,000 - 280,000; Full time

Job summary

Turbine is seeking an experienced VP of AI to lead and scale our AI and computational biology efforts for Virtual Assay development.

You will build a world-class team, shape technical strategy, and ensure our AI capabilities stay at the forefront of AI-driven biology. This executive role requires deep leadership, cross-functional collaboration, and a track record in production AI and biotech applications.

Qualifications

• Strong people leadership and team-building abilities.
• Direct experience with AI inference tools in production settings.
• Credible network in AI for drug discovery and biology.
• Strategic thinker focused on AI value in research and product.

Responsibilities

• Build and mentor an AI/development team to scale Virtual Assay capabilities.
• Lead departmental collaboration within a modern product organization.
• Ensure alignment of AI work streams with Virtual Assay development.
• Coordinate with Lab to optimize data flow and model input.
• Set strategic direction for Virtual Assay and AI capabilities.
• Collaborate with CTO on long-term AI biology initiatives.
• Represent Turbine at international AI/biology conferences.

Skills

People leadership

AI inference tools

Production AI experience

Strategic thinking

AI & biology crossover

Tools

AI inference tools

Job description

Join our team as a VP of AI and help virtualize biological experiments to accelerate discovery!

About Turbine

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.

We're seeking an experienced VP of AI to lead Turbine's AI and computational biology efforts as we scale our Virtual Assay platform. In this role, you'll build and mentor a world-class team, guide technical strategy, and ensure our AI capabilities remain at the forefront of the field.

Your core mission: ensure we can scale reliable, reproducible Virtual Assay capabilities while continuously deepening our understanding of biology and improving our competitive position in the AI-driven biology space.

Key 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

You are a Turbiner if these personality traits apply to you

• You have self‑awareness and strong intention on personal growth
• You seek out feedback and learn from mistakes and apply what you learned
• You take responsibility and focus on the outcomes over tasks
• You focus on shared success and are open to challenging others respectfully to get the best possible outcome
• You are in it for the long haul and have passion for our mission

What We're Looking For

You bring a combination of technical depth, leadership experience, and professional visibility in the AI community:

• 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

Nice to Have

• 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