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Principal Data Scientist - Scientific AI, Life Sciences

McKinsey & Company

Software Engineering, Data Science

Atlanta, GA, USA · Austin, TX, USA · Boston, MA, USA · Atlanta, GA, USA · Miami, FL, USA · Austin, TX, USA · Bentonville, AR, USA · Addison, TX, USA · Edina, MN, USA · North Carolina, USA · Tampa, FL, USA · Houston, TX, USA · Columbus, OH, USA · St. Louis, MO, USA

Posted on Feb 11, 2025

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Analytics

Principal Data Scientist - Scientific AI, Life Sciences

Job ID: 94902

Atlanta
Austin
Boston
Charlotte
Chicago
Connecticut - Darien
Houston
Los Angeles
New Jersey
New York City
Philadelphia
Pittsburgh
San Francisco
Seattle
Silicon Valley
Washington DC

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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.

Who You'll Work With

You’ll be working in one of our offices in North America in our Life Sciences practice.

You will work with cutting edge AI teams on research and development topics across our life sciences, global energy and materials (GEM), and advanced industries (AI) practices, serving as a Principal Data Scientist in a technology development and delivery capacity.

You will lead a team of cross functional technologists and practitioners to innovate alongside clients and client service teams to develop new solutions or enhance existing assets. This will involve leveraging advanced mathematics, stats and machine learning to derive structure and knowledge from raw data sets across various industry sectors that will enable solutions for many clients and amplify impact across a broad range of issues. You will mentor data scientists across multiple projects, ensuring statistical validity, training data, and overall analytics methodological approach align with client and asset development objectives.

You will be part of the McKinsey’s global scientific AI team helping to answer industry questions related to how AI can be used for therapeutics, chemicals & materials (including small molecules, proteins, mRNA, polymers, etc.).

In this role you will lead the development and own the data science and analytics roadmap of client-facing analytics assets across a broad range of topics.

Your impact within our firm

Your role will be split between developing new internal knowledge, building AI and machine learning models & pipelines, supporting client discussions, prototype development, and deploying directly with client delivery teams.

You will bring distinctive statistical, machine learning, and AI competency to complex client problems through part-time staffing on clients. With your expertise in advanced mathematics, statistics, and/or machine learning, you will help build and shape McKinsey’s scientific AI offering.

As a Principal Data Scientist, you will play a pivotal role in the creation/dissemination of cutting-edge knowledge and proprietary assets. You will work in a multi-disciplinary team and build the firm’s reputation in your area of expertise.

You will act as an analytics translator with senior stakeholders while also advising clients throughout the stages of model development. You will help build our teams by collaborating with others across the practice and beyond as well as mentoring junior colleagues.

Your qualifications and skills

Master’s degree with 8+ years or PhD degree with 7+ years of relevant experience in statistics, mathematics, computer science, or equivalent experience with experience in research
Thought leadership or people leadership experience (e.g. managed project teams or direct reports)
Experience in client delivery with direct client contact
Proven experience applying machine learning techniques to solve business problems
Proven experience in translating technical methods to non-technical stakeholders
Strong programming experience in python (R, Python, C++ optional) and the relevant analytics libraries (e.g., pandas, numpy, matplotlib, scikit-learn, statsmodels, pymc, pytorch/tf/keras, langchain)
Experience with version control (GitHub)
ML experience with causality, Bayesian statistics & optimization, survival analysis, design of experiments, longitudinal analysis, surrogate models, transformers, Knowledge Graphs, Agents, Graph NNs, Deep Learning, computer vision
Ability to write production code and object-oriented programming

Please review the additional requirements regarding essential job functions of McKinsey colleagues.

Industries

High Tech
Life Sciences

Capabilities

Technology

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FOR U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity/Affirmative Action 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 $241,100 - $245,100 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.

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