At a Glance
- Tasks: Apply your scientific expertise and AI skills to drive innovation in various sectors.
- Company: Join McKinsey's global Scientific AI team, shaping the future of research and development.
- Benefits: Enjoy competitive salary, comprehensive benefits, and continuous learning opportunities.
- Other info: Collaborate globally and mentor junior team members in a dynamic environment.
- Why this job: Make a real impact by revolutionising how clients approach scientific innovation.
- Qualifications: PhD or master's in relevant fields with strong project management and publication record.
The predicted salary is between 60000 - 80000 £ per year.
Within the Scientific AI team, you will apply your expertise at the intersection of scientific disciplines and AI to shape and scale the firm's scientific innovation capabilities.
YOUR IMPACT
You will apply your expertise at the intersection of scientific disciplines (e.g., protein engineering, chemistry, computational biology, medical/medicine domain expertise, materials science, biostatistics, physics) and artificial intelligence (e.g., machine learning, generative AI, foundation models, causal inference) to shape and scale the firm's scientific innovation capabilities. You'll be working in one of our offices in Europe in our Life Sciences practice. As a member of McKinsey's global Scientific AI team, you will help revolutionize how clients approach research and development in innovation-driven sectors such as Life Sciences, Specialty Chemicals, Global Energy & Materials, Agriculture, Advanced Industries, and Sustainability.
Your work will include applying cutting edge research methods, leveraging diverse data sources, and utilizing advanced analytics to help clients unlock new value through science-driven innovation. Your time will be divided between internal capability building, research to inform product development, and direct engagement with client teams. You will help shape new tools, develop research-backed insights, and bring scientific rigor to client engagements. You will conduct domain specific research, landscape research, data analysis, transformation, and analytics to support the design, development, and maintenance of innovative assets.
You will deliver distinctive domain specific knowledge to client service teams and clients, including the identification of the approach for domain-specific solutions, but also provide scientific and technical leadership in the creation, dissemination, and evolution of proprietary knowledge and assets including supporting manuscript drafting/publication. You will be expected to provide deep research expertise and help shape the problem to support complex client and client service team challenges including expertise on cutting edge approaches and collaborate with product development teams by offering knowledge insights and data extraction capabilities, contributing to product roadmaps at a cellular or system level.
By keeping up to date with domain specific trends, you'll be able to lead ideation sessions, formulate hypotheses, and drive experimentation as part of interdisciplinary teams to deliver high-impact results. You will also mentor and coach junior team members, contributing to team development and capability growth.
YOUR GROWTH
Continuous learning: Structured programs and coaching support your development. A voice that matters: Your ideas and contributions influence outcomes. Global community: Collaborate with colleagues across many countries and cultures. World class benefits: Competitive salary and comprehensive benefits package.
YOUR QUALIFICATIONS AND SKILLS
PhD preferred with 1+ year experience or master's with 3+ years of relevant experience in biology, chemistry, bioengineering or computer science (preference for PhD degree in scientific field or medical degree). Deep expertise in your scientific domain, including familiarity with key data sources, databases, and latest cutting edge methodologies. Experience in understanding and translating technical publications and published code to assess suitability. Strong publication record or evidence of scientific thought leadership. Excellent project management skills and ability to drive complex, cross functional initiatives to completion. High level of professionalism, integrity, and independence. Comfort working in ambiguous and fast paced environments, with the ability to translate complex technical concepts to non-technical audiences.
StudySmarter Expert Advice🤫
We think this is how you could land Research Science Specialist - 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 Research Science Specialist - Scientific AI
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.
