Senior Data Engineer, Life Sciences AI - Pipelines

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

Job summary

McKinsey & Company's Life Sciences AI team, integrated with QuantumBlack, is seeking a senior software engineer to build AI that transforms Pharma and MedTech. You will design and deploy advanced analytics, partner with global teams, and help scale data pipelines across cloud platforms.

The role offers collaboration with data scientists and engineers in Agile teams, opportunities for growth, and exposure to asset-based consulting.

Qualifications

• Degree in computer science, data analytics, or a related field.
• 5+ years of professional experience in data engineering or software engineering.
• Proficiency in Python for production-grade pipelines, with SQL and PySpark.

Responsibilities

• Design, deliver, and deploy advanced analytics and agentic solutions across Life Sciences.
• Transform pilots into production-ready systems shaping end-to-end commercial workflows.
• Design and manage scalable data pipelines and secure analytics platforms.
• Lead technical workstreams and mentor junior colleagues.

Skills

Python

SQL

PySpark

Agentic AI

Generative AI

Machine Learning

Data pipelines

AWS

Azure

GCP

Spark

Education

Degree in computer science or related field

Tools

Databricks

Snowflake

BigQuery

Terraform

LangChain

dbt

LangGraph

Spark

Job description

McKinsey & Company's Life Sciences AI team, integrated with QuantumBlack, is seeking a senior software engineer to build AI that transforms Pharma and MedTech. You will design and deploy advanced analytics, partner with global teams, and help scale data pipelines across cloud platforms.

The role offers collaboration with data scientists and engineers in Agile teams, opportunities for growth, and exposure to asset-based consulting.