Do you want to work on complex and pressing challenges—the kind that bring together curious, ambitious, and determined leaders who strive to become better every day? If this sounds like you, you’ve come to the right place.

YOUR QUALIFICATIONS AND SKILLS

• Proven mastery of fundamental concepts in one or multiple branches of a specific science (chemistry, medicine, computational biology, protein engineering, materials, biostatistics, physics) as well as being up-to-date on latest ideas and publications
• Deep understanding of the data sources, AI methods and related analytical technologies, e.g., AI principles, deep learning, machine learning (supervised learning or unsupervised), causal inference, large language models, foundation models, computer vision, diffusion models, reinforcement learning, knowledge graphs, or computer vision
• Ability to develop new-to-world solution architecture blueprints based on industry/client needs, and decompose the end-state solution into incremental releases to prove feasibility and deliver value
• Track record of innovation at the intersection of AI and a scientific discipline
• Compelling communicator with track record of translating technical methods to non-technical executive stakeholders as well as counselling non-technical stakeholders on the opportunity, the specific solution, and the technical and organizational requirements required for sustainable change and value capture
• Track record of recent leadership and engagement in the external ecosystem via publications, conference participation, keynote speeches, connectedness with academia and/or industry
• Experience managing direct reports, or a complex network of internal & external stakeholders

• Delivery of distinctive capabilities, knowledge, and insights through your work with client service teams and clients
• Technical and scientific leadership in the creation & dissemination of cutting-edge knowledge and proprietary assets
• Elevation of the firm’s reputation in your area of expertis