Senior Fellow Scientific AI

McKinsey & Company; Frankfurt; Vor Ort; EUR 70.000 - 110.000; Vollzeit

Zusammenfassung

A leading consulting firm seeks an expert in scientific AI to support client service teams, develop internal knowledge assets, and innovate within research and development sectors. The role demands a strong foundation in scientific disciplines and AI methodologies, aiming to enhance clients' innovation strategies and productivity. This opportunity offers a dynamic environment focused on continual learning and impactful contributions.

Leistungen

Competitive salary

Comprehensive benefits package

Mentorship opportunities

Continuous learning environment

Qualifikationen

• Proven mastery in chemistry, medicine, computational biology, or related fields.
• Deep understanding of AI methods including deep learning and machine learning.
• Experience managing complex stakeholder networks.

Aufgaben

• Deliver distinctive capabilities and insights through collaboration with client teams.
• Lead initiatives for scientific AI and innovation.
• Mentor junior colleagues to expand scientific AI knowledge.

Kenntnisse

Leadership

Communication

Innovation

Technical Expertise

AI and Machine Learning

Ausbildung

PhD in a relevant scientific discipline

Jobbeschreibung

Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance / high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.

In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues—at all levels—will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won’t find anywhere else.

When you join us, you will have :

• Continuous learning : Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
• A voice that matters : From day one, we value your ideas and contributions. You’ll make a tangible impact by offering innovative ideas and practical solutions. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
• Global community : With colleagues across 65+ countries and over 100 different nationalities, our firm’s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you’ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
• World-class benefits : On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.

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.

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
• 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