Senior Knowledge Expert, Scientific AI
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About The Position
You will work as a member of McKinsey's global scientific AI team to transform the way our clients do research and development in industries where scientific innovation is core to value creation: Life Sciences, Specialty Chemicals, Global Energy and Materials, Agriculture, Advanced Industries, and Sustainability. With your expertise at the intersection of a core scientific discipline or disciplines (i.e., chemistry, medicine, computational biology, protein engineering, materials, biostatistics, physics) and artificial intelligence / machine learning (i.e., deep learning, causal inference, Bayesian modelling, and foundation models), you will help build and lead McKinsey's forward-looking capabilities to transform clients' innovation engines. Your core responsibilities will entail: * 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 expertise Your role will be split between supporting client service teams of scientific & technical colleagues, developing new internal knowledge & technology assets and building the firm's external network. You will be expected to bring distinctive knowledge to complex client/CST problems through part-time staffing on client studies with a multi-disciplinary team. You will drive proposal processes and participate in client negotiations by identifying end-to-end opportunities to transform R&D and architecting solutions that address specific client needs. You will also advance the latest thinking in scientific AI and generate a steady stream of whitepapers, scientific publications and keynote speeches in top scientific and AI conferences and journals. Your role will also include establishing an external network & playing a lead role in external reputation building and attracting and retaining junior colleagues by mentoring them to expand their scientific AI knowledge and impact. You will lead firm and cell-level initiatives to scale our service in scientific AI and continuously improve the productivity & impact of our service line.
