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Capabilities & Insights Analyst - Life Sciences, Research & Development
Job in
Boston, Suffolk County, Massachusetts, 02298, USA
Listed on 2026-06-02
Listing for:
McKinsey
Part Time
position Listed on 2026-06-02
Job specializations:
-
Science
Data Scientist, Research Scientist
Job Description & How to Apply Below
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.
You will work with McKinsey colleagues and clients on Life Sciences R&D topics, with a specific focus on Clinical Development. Projects may involve topics such as protocol design benchmarking, trial site selection, study startup orchestration, enrollment support, submission excellence, along with other topics in Development.
You may also work on projects involving pre-clinical or early development topics, or on broader R&D and portfolio strategy for pharmaceutical companies. Most projects will be with pharmaceutical companies, but with potential for additional projects with biotech or CRO clients.
You will be working with McKinsey colleagues and clients - a multitude of diverse individuals - to scope business questions and understand, disaggregate, and prioritize their information needs in client engagements. You will problem-solve across various international, cross-functional knowledge & intelligence teams to determine the most appropriate solutions to key issues, effectively balancing quality, availability, timelines, and cost factors. You will also gain experience working with Generative AI models, and build the skills to craft clear, effective, and relevant prompts for Generative AI models.
Your day-to-day work will include generating insights through a range of analytical approaches and tools (e.g., Excel, R, Generative AI tools) from licensed third-party data, proprietary McKinsey data sets, and external data sets (e.g., Clinical Trials.gov), bringing perspectives based on primary and secondary research as well as your prior expertise in R&D, and leveraging external and McKinsey-developed Generative AI tools to automate processes and derive insights to help shape the approach to answering key questions.
You will then communicate insights and deliver end products to clients and McKinsey consulting teams in a variety of formats, including memos, PowerPoint presentations and tables.
You will join McKinsey's Boston office as part of our Life Sciences Intelligence (LSi) team in North America. This is a hybrid role, with 2-3 days per week working in-person from McKinsey's Boston office and potential travel to additional…
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