Senior Data Engineer: Life Sciences AI & Agentic ML

McKinsey & Company; New York (NY); On-site; USD 176,000 - 180,000; Full time

Benefits offered by this job

World-class benefits

Job summary

McKinsey & Company, part of the Life Sciences AI team integrated with QuantumBlack, AI by McKinsey, is seeking a senior software engineer in North America to design and deploy advanced analytics and agentic solutions for Pharma and MedTech.

You will build scalable data pipelines, lead tech workstreams, and mentor teammates while collaborating with data scientists, ML engineers, and industry experts. This role offers opportunity to work in a cross-functional, Agile context with global impact.

Qualifications

• Degree in computer science, business analytics, engineering, mathematics, or a related field.
• Proven experience building end-to-end data pipelines and platforms for AI/ML, analytics, or BI.

Responsibilities

• Design, deliver, and deploy differentiated analytics and agentic solutions for Life Sciences.
• Transform pilots into production-ready systems supporting end-to-end workflows.
• Lead technical initiatives and mentor team members in agile settings.

Skills

Python

SQL

PySpark

Agentic AI

Generative AI

Education

Degree in computer science / analytics / engineering / math

Tools

Pandas

Spark

dbt

LangChain

LangGraph

Temporal

Terraform

Databricks

Snowflake

BigQuery

Job description

McKinsey & Company, part of the Life Sciences AI team integrated with QuantumBlack, AI by McKinsey, is seeking a senior software engineer in North America to design and deploy advanced analytics and agentic solutions for Pharma and MedTech.

You will build scalable data pipelines, lead tech workstreams, and mentor teammates while collaborating with data scientists, ML engineers, and industry experts. This role offers opportunity to work in a cross-functional, Agile context with global impact.