Senior Knowledge Expert, Scientific AI

McKinsey & Company
parental leave, paid time off
United States, Georgia, Atlanta
Feb 19, 2025
Analytics Senior Knowledge Expert, Scientific AI Job ID: 94940 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 Impact 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. Your Growth 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 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 Please review the additional requirements regarding essential job functions of McKinsey colleagues. Apply Now Apply Later FOR U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by applicable law. Certain US jurisdictions require McKinsey & Company to include a reasonable estimate of the salary for this role. For new joiners for this role in the United States, including all office locations where the job may be performed, a reasonable estimated range is $243,000 - $243,000 USD -to help you understand what you can expect. This reflects our best estimate of the lowest to highest [salary/hourly wages] for this role at the time of this posting, ensuring you have a clear picture right from the start, though it's important to remember that actual salaries may vary. Factors like your office location, your unique blend of experience and skills, start date and our current organizational needs all play a part in determining the final figure. Certain roles are also eligible for bonuses, subject to McKinsey's discretion and based on factors such as individual and/or organizational performance. Additionally, we provide a comprehensive benefits package that reflects our commitment to the wellness of our colleagues and their families. This includes medical, mental health, dental and vision coverage, telemedicine services, life, accident and disability insurance, parental leave and family planning benefits, caregiving resources, a generous retirement contributions program, financial guidance, and paid time off. FOR NON-U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity employer. For additional details regarding our global EEO policy and diversity initiatives, please visit our McKinsey Careers and Diversity & Inclusion sites. 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