Senior Fellow - Scientific AI

Senior Fellow - Scientific AI

Full-Time 63000 - 77000 £ / year (est.) Home office (partial)
Mckinsey & Company, Inc.

At a Glance

  • Tasks: Support scientific teams, develop knowledge assets, and drive innovative R&D solutions.
  • Company: Join McKinsey & Company, a leader in scientific AI and innovation.
  • Benefits: Competitive salary, comprehensive benefits, and a focus on holistic well-being.
  • Other info: Dynamic global community with mentorship and continuous learning opportunities.
  • Why this job: Make a real impact in scientific AI while growing your skills and network.
  • Qualifications: Expertise in computational chemistry or protein engineering and strong communication skills.

The predicted salary is between 63000 - 77000 £ per year.

Do you want to do work that matters, alongside supportive leaders who will help you grow faster than you ever thought possible? Are you a creative problem-solver who is energized by challenges? You’ve come to the right place.

YOUR IMPACT

Your work 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 bring distinctive scientific knowledge, specifically in protein engineering and/or computational chemistry, to complex client R&D challenges through part‑time staffing on client studies with a multidisciplinary 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 work 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 protein engineering, computational chemistry, or a similar field, and artificial intelligence / machine learning (i.e., deep learning, foundation models, Bayesian modelling, and causal inference), you will help build and lead McKinsey’s forward‑looking capabilities to transform clients’ innovation engines. Your core responsibilities will include but not be limited to; 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; and elevation of the firm’s reputation in your area of expertise.

YOUR GROWTH

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, all while upholding our unwavering commitment to ethics and integrity. 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 QUALIFICATIONS AND SKILLS

  • Proven mastery of fundamental concepts in one or multiple branches of computational proteomics, protein engineering, computational chemistry, and/or adjacent scientific disciplines, as well as being current 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.
  • Experience managing direct reports, or a complex network of internal & external stakeholders.
  • Track record of recent leadership and engagement in the external ecosystem via publications, conference participation, keynote speeches, connectedness with academia and/or industry.
  • 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.

Senior Fellow - Scientific AI employer: Mckinsey & Company, Inc.

McKinsey & Company is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Located in the United Kingdom, employees benefit from unparalleled growth opportunities, mentorship from industry leaders, and the chance to work on cutting-edge technologies while shaping user-centric solutions. With a strong emphasis on Agile practices, this role not only enhances technical skills but also promotes meaningful contributions to client success.

Mckinsey & Company, Inc.

Contact Details:

Mckinsey & Company, Inc. Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Fellow - Scientific AI

Get Involved in Research Communities

Dive headfirst into the scientific research world by joining relevant communities and forums. Engage in discussions, share your insights, and even attend conferences or seminars in your field. This not only boosts your visibility but can also lead to potential job opportunities—don't forget to connect with like-minded folks!

Show Off Your Research Projects

Have you worked on any cool research projects? Make it easy for potential employers to see your work by creating a portfolio or a personal website. This way, when you apply for roles like the one at Mckinsey & Company, Inc., you can point them to your projects and publications, showcasing your expertise directly.

Utilise Professional Networks

Networking is key in scientific research. Join professional bodies or organisations related to your field. They often have job boards and resources tailored for job seekers. Make connections with professionals who may know about openings or can give you tips on landing a full-time position.

Keep Your Eyes on Openings & Apply Directly

Don’t just rely on job boards! Keep an eye on the careers section of the websites of companies like Mckinsey & Company, Inc.. Apply directly through their website because sometimes they post jobs there before anywhere else. Plus, it shows your proactive approach!

We think you need these skills to ace Senior Fellow - Scientific AI

Computational Proteomics
Protein Engineering
Computational Chemistry
Artificial Intelligence
Machine Learning
Deep Learning
Causal Inference

Some tips for your application 🫡

Highlight Your Research Experience:When applying for a full-time role in scientific research, make sure to emphasise your research experience prominently in your CV. Share specific projects you’ve worked on, the methodologies you used, and any significant findings. If you’ve published papers or presented at conferences, definitely include that too – it shows you’re on it in the academic world!

Tailor Your Cover Letter to the Research Area:Your cover letter should reflect your passion for the specific area of research at Mckinsey & Company, Inc.. Mention relevant experiences that align with the organisation’s goals or projects. This shows that you’ve done your homework and are genuinely interested in the position – plus, it helps us see how you’d fit into the team dynamics.

Showcase Your Data Analysis Skills:In scientific research, data analysis skills are a big deal! Make sure to detail any relevant analytical tools or software you’re familiar with, like R, Python, or statistical packages. Employers are keen to know you can handle the data-heavy elements of the role, so add specific examples where you’ve used these skills effectively.

Discuss Your Future Research Goals:In your motivation section, it’s a great idea to talk about your future research goals and how they align with the work being done at Mckinsey & Company, Inc.. This shows that you’re not just looking for any job, but rather a chance to contribute meaningfully to the field. We love to see applicants who are forward-thinking and enthusiastic about their research journey!

How to prepare for a job interview at Mckinsey & Company, Inc.

Showcase Your Research Skills

In scientific research, it’s crucial to demonstrate your ability to design and conduct experiments. Come armed with examples of past projects where you've developed hypotheses, collected data, and analysed results. Be ready to discuss any specific methodologies or tools you’ve used, like PCR techniques or statistical software.

Prepare for Technical Questions

Expect some technical questions specific to your field. Make sure you're up to speed with recent advancements in scientific research related to the role at Mckinsey & Company, Inc.. Brush up on concepts relevant to their projects and be prepared to discuss how you would approach a specific research problem or challenge they might face.

Know Your Publications

If you've authored or co-authored any papers, be prepared to discuss them! Highlighting your contributions to published research can really set you apart. It shows not only your expertise but also your ability to communicate complex ideas clearly, which is key in scientific research roles.

Exhibit Your Team Spirit

In full-time roles, collaboration is often at the heart of scientific research. Prepare examples that show how you've successfully worked in teams, dealt with conflicts, or contributed to group projects. We want to know how you can work effectively with the team at Mckinsey & Company, Inc. to drive research projects forward.