Principal Data Scientist – Scientific AI, Life Sciences

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Principal Data Scientist – Scientific AI, Life Sciences

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McKinsey & Company
Role Overview

As a Principal Data Scientist, you will work in our North America offices within the Life Sciences practice. You will collaborate with cutting-edge AI teams on research and development across life sciences, global energy and materials (GEM), and advanced industries (AI). Your leadership will guide cross-functional teams to develop innovative solutions leveraging advanced mathematics, statistics, and machine learning to extract insights from complex data sets, impacting multiple client projects.
Your Responsibilities

Lead the development and execution of data science and analytics roadmaps for client-facing assets.
Mentor data scientists and ensure methodological rigor across projects.
Collaborate with AI teams on research related to therapeutics, chemicals, and materials, including small molecules, proteins, mRNA, and polymers.
Translate complex technical methods for non-technical stakeholders and advise clients throughout model development stages.
Build and shape McKinsey’s scientific AI offerings by creating proprietary assets and disseminating knowledge.
Your Impact

You will develop internal knowledge, build AI models and pipelines, support client discussions, and deploy solutions with delivery teams. Your expertise will enhance McKinsey’s reputation in scientific AI and contribute to innovative client solutions.
Qualifications and Skills

Master’s degree with 8+ years or PhD with 7+ years in statistics, mathematics, computer science, or related fields.
Experience in research, thought leadership, or managing project teams.
Proven ability to apply machine learning techniques to solve business problems.
Strong programming skills in Python and familiarity with relevant libraries (pandas, numpy, scikit-learn, PyTorch, etc.) and version control (GitHub).
Experience with advanced statistical methods including causality, Bayesian statistics, deep learning, transformers, knowledge graphs, and computer vision.
Ability to communicate complex technical concepts to non-technical stakeholders.
Additional Details

Seniority Level: Mid-Senior level
Employment Type: Full-time
Job Function: Consulting and Science
Industries: Business Consulting and Services

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