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Research Coordinator - Life Sciences

McKinsey & Company
parental leave, paid time off
United States, Massachusetts, Boston
Feb 12, 2026
Consulting
Research Coordinator - Life Sciences
Job ID: 105459

Do you want to work on complex and pressing challenges-the kind that bring together curious, ambitious, and determined leaders who strive to become better every day? If this sounds like you, you've come to the right place.
Your Impact
You will join McKinsey's Boston office on a temporary basis for a 1-year fixed contract as part of our Life Sciences Intelligence (LSi) team in North America. This is a hybrid role in which you will spend at least 3 days per week working in-person from McKinsey's Boston office, with potential for additional travel as needed.
The LSi team is part of McKinsey's global Client Capabilities Network (CCN) with more than 3,500 colleagues delivering distinctive client impact and fueled by a culture of innovation. The CCN is our platform for innovating our service to Life Sciences clients, building intellectual property, digital assets, and consistent approaches for delivering high-quality client service.
Within the CCN, our Life Sciences team is the second largest industry group in the firm, with 80+ professionals across major hubs in Boston, Lisbon, Poland, India, and China. In this role, you will have opportunities for high levels of interaction with global colleagues across the LSi team, as well as other consultants and leadership for the broader Life Sciences practice.
In this role, you will work across the full range of topics in the Life Sciences industry, including operations, medical devices, pharma commercial, pharma R&D, animal health, and other topics. You will work with McKinsey colleagues and clients 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.
On a day-to-day basis, you will provide responsive, high-quality assistance through research request handling and project support for work in McKinsey's Life Sciences practice; this could include brief periods of ad hoc support or dedicated support over longer time periods, depending on project needs and fit. You will also spend a significant amount of your time collaborating with tenured colleagues and leaders on the LSi team to advance LSi team priorities and support new capability development and delivery.
This work will require generating insights through a range of analytical approaches and tools (e.g., Excel, Generative AI tools) from licensed third-party data (e.g., pharmaceutical market data, clinical trials data) and proprietary McKinsey data sets, bringing perspectives based on your personal expertise and background, and leveraging external and McKinsey-developed Generative AI tools to automate processes and derive insights. 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.
We believe the Life Sciences practice and LSi team have exciting years ahead, as we expand our portfolio of offerings and change the way we work to incorporate new tech-enabled capabilities. You will be at the core of this work and will help to meaningfully advance adoption of our growing portfolio of proprietary analytical and knowledge assets.
In addition to working with consulting teams and clients, you will continuously develop your knowledge and skills in Life Sciences topics. Together with LSi colleagues and Life Sciences leadership, you will analyze new topics and trends and integrate them into our existing capabilities infrastructure.
You can expect extensive coaching and further development opportunities, including mentoring from experienced colleagues, regular leadership feedback and coaching, and access to high-quality McKinsey internal trainings.
No immigration sponsorship is offered. Must be authorized to work in the U.S. indefinitely.
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
  • Bachelor's degree in a relevant field (e.g., STEM field, business, finance, economics) with a consistent outstanding academic record is required
  • 0-2 years of experience (can include internship or academic research experience) and/ or demonstrated strong interest in pharmaceutical, medical device, or biotech topics
  • Some understanding of financial, economic and general business concepts and terminology, and interest in conducting business research in a dynamic environment
  • High level of proficiency with Microsoft Excel, Word, PowerPoint, and data manipulation
  • Experience with crafting clear, effective, and relevant prompts for Generative AI models
  • Ability to accomplish work in a fast paced, deadline-driven work environment, while maintaining high quality of output with attention to detail
  • Excitement to drive your own professional development, including proactivity in communications, strong sense of ownership, and ability to balance multiple priorities at the same time
  • Excellent problem-solving skills including the ability to structure a problem, disaggregate issues, identify root causes and recommend solutions
  • Professional attitude, work standards and service orientation, and strong team orientation
  • Excellent written and verbal communications skills
Please review the additional requirements regarding essential job functions of McKinsey colleagues.
Our
unwavering commitment to integrity
drives everything we do, guiding us to always act in the best interests of our clients, our people, and the communities we serve.


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FOR U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by applicable law.

Certain US jurisdictions require McKinsey & Company to include a reasonable estimate of the salary for this role.
For new joiners for this role in the United States, including all office locations where the job may be performed, a reasonable estimated range
is $80,000 - $84,600 USD -to help you understand what you can expect. This reflects our best estimate of the lowest to highest
[salary/hourly wages] for this role at the time of this posting, ensuring you have a clear picture right from the start, though it's important
to remember that actual salaries may vary. Factors like your office location, your unique blend of experience and skills, start date and our current
organizational needs all play a part in determining the final figure. Certain roles are also eligible for bonuses, subject to McKinsey's discretion
and based on factors such as individual and/or organizational performance.

Additionally, we provide a comprehensive benefits package that reflects our commitment to the wellness of our colleagues and their families.
This includes medical, mental health, dental and vision coverage, telemedicine services, life, accident and disability insurance, parental leave and family planning benefits, caregiving resources, a generous retirement contributions program, financial guidance,
and paid time off.

FOR NON-U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity employer. For additional details
regarding our global EEO policy and diversity initiatives, please visit our
McKinsey Careers and
Diversity & Inclusion sites.

Job Skill Group - N/A

Job Skill Code - JCIA - Junior Capabilities and Insights Analyst

Function -

Industry - Life Sciences

Post to LinkedIn - Yes

Posted to LinkedIn Date - Fri Feb 06 00:00:00 GMT 2026

LinkedIn Posting City - Boston

LinkedIn Posting State/Province - Massachusetts

LinkedIn Posting Country - United States

LinkedIn Job Title - Research Coordinator - Life Sciences

LinkedIn Function - Consulting

LinkedIn Industry - Management Consulting

LinkedIn Seniority Level - Entry level
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