At a Glance
- Tasks: Drive scientific innovation using AI in diverse sectors like Life Sciences and Sustainability.
- Company: Join a global leader in consulting with a focus on scientific AI.
- Benefits: Competitive salary, comprehensive benefits, and a culture of continuous learning.
- Other info: Collaborate with a diverse team across 65+ countries and grow your expertise.
- Why this job: Make a real impact by revolutionising research and development with cutting-edge technology.
- Qualifications: PhD or Master's in relevant fields with strong project management skills.
The predicted salary is between 36000 - 60000 £ per year.
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 will 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 will 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.
- 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.
- 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.
- World-class benefits: On top of a competitive salary, we provide a comprehensive benefits package to enable holistic well-being for you and your family.
As a member of McKinsey's global Scientific AI team, 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. 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 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.
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 will 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.
PhD degree preferred with 1+ year experience or a master’s degree 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 (i.e., experimental and/or computational).
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 the 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.
Research Science Specialist - Scientific AI employer: Mckinsey & Company
As a Portfolio Manager - Events at our firm, you will thrive in a dynamic and high-performance environment that champions continuous learning and diverse perspectives. We offer exceptional benefits and a global community of colleagues, ensuring your contributions are valued and impactful from day one. With structured mentorship and opportunities for professional growth, you'll be empowered to make a real difference while enjoying a collaborative and innovative work culture.
StudySmarter Expert Advice🤫
We think this is how you could land Research Science Specialist - Scientific AI
✨Tip Number 1
Network like a pro! Reach out to people in your field on LinkedIn or at industry events. Don’t be shy—ask for informational interviews to learn more about their experiences and share your passion for scientific AI.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your research projects, publications, or any relevant work. This is your chance to demonstrate your expertise and how you can contribute to the team.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to scientific AI. Think about how you can apply your knowledge to real-world problems and be ready to discuss your thought process.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining our team and contributing to our mission.
We think you need these skills to ace Research Science Specialist - Scientific AI
Some tips for your application 🫡
Show Your Passion:When you're writing your application, let your enthusiasm for scientific AI shine through! We want to see how your curiosity and drive align with our mission to revolutionise research and development.
Tailor Your Experience:Make sure to highlight your relevant experience in biology, chemistry, or computer science. We love seeing how your background can contribute to our innovative projects, so be specific about your skills and achievements!
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and make it easy for us to understand your qualifications and ideas. Remember, less is often more!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity with our global team.
How to prepare for a job interview at Mckinsey & Company
✨Know Your Science
Make sure you brush up on the latest trends and methodologies in your scientific domain. Be ready to discuss how your expertise in areas like protein engineering or computational biology can drive innovation. This shows you're not just knowledgeable but also passionate about your field.
✨Showcase Your Resilience
Prepare to share examples of challenges you've faced in previous roles and how you overcame them. Highlighting your resilience and determination will resonate well, especially in a high-performance culture where adaptability is key.
✨Engage with Curiosity
During the interview, ask insightful questions about the company's approach to scientific AI and client engagement. This demonstrates your curiosity and eagerness to contribute innovative ideas, aligning perfectly with their values.
✨Highlight Collaboration Skills
Be ready to discuss your experience working in interdisciplinary teams. Emphasise how you’ve mentored others or contributed to team development, as this aligns with their focus on building capabilities and fostering a global community.
