Senior Data Scientist

You will work at the intersection of healthcare and AI, building and deploying advanced AI/ML solutions that transform clinical care, operations, and patient outcomes at scale.

Do you want to do work that matters, alongside supportive leaders who will help you grow faster than you ever thought possible? Are you a creative problem-solver who is energized by challenges?
You’ve come to the right place.

You will design, build, and deploy ML/AI solutions across priority provider use cases; clinical decision support, care management, revenue cycle optimization, patient access, and agentic workforce tools; with clear outcome accountability. Healthcare is one of the most consequential domains in which AI can create real, durable impact; and it is also one of the most complex. Provider organizations are sitting on enormous clinical and operational data assets, but turning those assets into deployed, trusted AI systems at scale requires the kind of rigorous, multi-disciplinary approach that McKinsey and Quantum Black Labs are uniquely positioned to deliver.

You will work on AI systems that directly influence how care is delivered, how clinicians spend their time, how patients flow through the system, and how resources are allocated. The models you build are not proofs-of-concept; they are production systems used by some of the largest health systems in the country. That combination of technical rigor, healthcare domain depth, and real-world deployment scale is rare, and it is what makes your work exceptional.

You will be solving the hardest data and AI challenges in healthcare with direct client exposure and measurable clinical and operational results. You will work with rich, multi-modal clinical datasets (EHR/EMR, claims, clinical notes, imaging, device feeds) using advanced NLP, generative AI, and predictive modeling to surface insights that improve care delivery. You will leverage and extend Quantum Black Labs' latest generative AI and agentic frameworks to build autonomous clinical workflows;

from AI-assisted documentation to intelligent care-management agents that act on behalf of clinicians. You will write optimized, production-ready code; develop reusable ML pipelines and model assets that can scale across multiple health systems in the portfolio. You will partner with Quantum Black Labs data scientists, ML engineers, and product managers, as well as Social, Healthcare, and Private Entities (SHaPE) clinicians and transformation consultants, to translate complex healthcare requirements into production AI systems.

You will contribute to McKinsey's growing body of healthcare AI knowledge; writing papers, presenting at industry conferences, and shaping internal capability-building programs. You will design AI applications to operate safely and reliably in regulated healthcare environments, partnering with data engineers to ensure robust data pipelines, governance, lineage, and HIPAA compliance. You will translate technical outputs into actionable recommendations for clinical and operational leaders, and present findings and implications to executive stakeholders at health systems.

You will rapidly prototype and iterate on statistical and machine learning models, using rigorous experimentation to validate clinical and business impact before scaling.

Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward. In return for your drive, determination, and curiosity, we’ll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible.

Your colleagues—at all levels—will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you’ll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won’t find anywhere else. When you join us, you will have:

• Continuous learning:Our learning and apprenticeship…