Senior Data Scientist — Life Sciences AI Impact

McKinsey & Company; Newark (NJ); On-site; USD 176,000 - 180,000; Full time

Job summary

McKinsey & Company's Life Sciences AI team, integrated with QuantumBlack, AI by McKinsey, seeks a Senior Data Scientist to build AI transforming Pharma and MedTech across North America. You will collaborate with global teams to move pilots to production, shaping end-to-end commercial workflows and delivering real patient impact.

You'll design advanced ML models, evaluate agentic outputs, write production-grade code, and mentor colleagues while partnering with senior stakeholders to translate

Qualifications

• Master's or PhD level in CS/ML/AI or related fields.
• ,

Responsibilities

• You will partner with global teams to create differentiated analytics for Life Sciences use cases.
• You will help transform pilots into production-ready systems that reshape end-to-end commercial workflows.
• You will design advanced ML models, evaluate agentic outputs, write optimized production code.
• You will mentor junior colleagues and translate analytics into actionable insights.
• You will explore emerging technologies and collaborate with diverse experts to deliver innovations.

Skills

Advanced degree in CS/ML/AI

Machine learning

Knowledge graphs

Agentic ML methods

Graph neural networks

Deep learning

Python

Production-grade code

Git / version control

Team leadership

Communication skills

Travel flexibility

English communication

Education

Master's or PhD in CS/ML/AI-related field

Tools

Python

PyTorch/TensorFlow/Keras

Pandas/NumPy/Matplotlib

SQL

Databricks

Docker

Kubernetes

AWS

GCP

Azure

LangChain

LangGraph

Job description

McKinsey & Company's Life Sciences AI team, integrated with QuantumBlack, AI by McKinsey, seeks a Senior Data Scientist to build AI transforming Pharma and MedTech across North America. You will collaborate with global teams to move pilots to production, shaping end-to-end commercial workflows and delivering real patient impact.

You'll design advanced ML models, evaluate agentic outputs, write production-grade code, and mentor colleagues while partnering with senior stakeholders to translate