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Turbine

Cell-simulation platform for oncology drug discovery

Vice President of AI

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeBudapest, HungaryNo salary listedHybrid

About the Job

Requirements

  • Strong people leadership skills, including the 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 a network in the AI in drug discovery space.
  • Strategic thinking about where AI creates value in research and commercial applications.
  • Comfort operating at the intersection of AI, biology, and product; computational biology expertise is not required, but curiosity and capacity to learn the domain are required.

Responsibilities

  • Build and maintain a healthy, well-staffed AI team equipped to deliver current products and anticipate future needs.
  • Coach and develop the department to operate seamlessly as part of a modern product organization.
  • Ensure all work streams are clearly connected to Virtual Assay development and extract learnings from each initiative.
  • Partner with the Lab team to streamline data flow, including ensuring up-to-date data requests, efficient handoffs, and productive use of generated data in model development.
  • Drive the strategic direction of Virtual Assay development to establish a differentiated, valuable market position.
  • Collaborate with the CTO to guide internal development toward a general virtual cell capable of zero-shot assay prediction.
  • Represent Turbine at international conferences and contribute to its visibility as a leader in AI-driven biology.

Desired Qualifications

  • 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.

About the Company

Turbine

Cell-simulation platform for oncology drug discovery

Turbine AI builds a cell simulation platform that uses machine learning to model how human cells behave and how cancer treatments may work. Their core product, Simulated Cells, runs virtual experiments to predict which drugs or targets are most likely to be effective and which patients may respond best. The platform helps pharmaceutical teams explore ideas, de-risk development, and potentially cut time and cost in bringing therapies to market. They offer a Virtual Lab to let potential clients test the technology on oncology challenges, including drug resistance in blood cancers. Turbine AI differentiates itself by combining ML-based cell simulations with targeted collaboration with pharma companies (like AstraZeneca) to apply simulations to real drug development problems and identify promising targets and patient populations that traditional lab work might miss.

Company size
51-200
Company stage
Series B
Total funding
$60.9M
Headquarters
Budapest, Hungary
Founded
2016

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