Senior Data Scientist, Scientific AI Life Sciences

McKinsey; Boston (MA); On-site; USD 214,000 - 218,000; Full time

Job summary

McKinsey's Life Sciences Practice in North America seeks a Principal Data Scientist with a strong foundation in statistics, ML, and software engineering. You will build advanced models, create AI-driven solutions, and work across client discussions to deliver impactful outcomes.

You will mentor colleagues, drive end-to-end analytics, and codify methodologies for scalable deployment in a fast-paced, multidisciplinary environment.

Qualifications

• Advanced degree in statistics, mathematics, or computer science with research experience.
• Life Sciences domain knowledge is required.
• ML experience with causality, Bayesian statistics, optimization, survival analysis, DOE, longitudinal analysis, and deep learning.

Responsibilities

• Write production code and apply object-oriented programming practices.
• Lead teams of at least 3 people and mentor colleagues.
• Develop AI/ML models and pipelines; deploy with client delivery teams.
• Translate complex outputs into actionable recommendations for senior stakeholders.

Skills

Statistics

Machine Learning

Python

OOP

Team Leadership

Git/GitHub

Education

Master's or PhD in a relevant field

Tools

Pandas

NumPy

Matplotlib

Scikit-Learn

Statsmodels

PyMC

PyTorch

TensorFlow

Keras

LangChain

Job description

McKinsey's Life Sciences Practice in North America seeks a Principal Data Scientist with a strong foundation in statistics, ML, and software engineering. You will build advanced models, create AI-driven solutions, and work across client discussions to deliver impactful outcomes.

You will mentor colleagues, drive end-to-end analytics, and codify methodologies for scalable deployment in a fast-paced, multidisciplinary environment.