Director, Research Commercialization (AI Blackbelts)

Minimum qualifications:

• 15 years of experience in a technical field bridging software engineering/AI and a scientific domain (e.g., computational biology, cheminformatics, physics).
• 7 years of experience managing and scaling specialized engineering, research, or technical incubation teams.
• Experience with modern machine learning and Generative AI applied to scientific data (e.g., Graph Neural Networks, protein folding models, molecular dynamics, genomics).

Preferred qualifications:

• PhD in Computational Biology, Chemistry, Physics, Bioinformatics, Artificial Intelligence, or a related quantitative field.
• Experience operating in a "strategic AI co-engineering" or highly technical incubation environment, building with external customers.
• Familiarity with the complex regulatory, security, and data governance requirements inherent in scientific and healthcare enterprise environments.
• Proven track record of engaging with C-level executives (CSO, CIO, Head of R&D) and driving complex technical transformations in scientific or highly regulated industries (e.g., Pharma, Life Sciences).
• Strong reputation in the scientific AI community, with published research in journals, patents, or contributions to open-source scientific computing projects.