Senior Data Scientist - Life Sciences

McKinsey • Chicago, IL

70d

About The Position

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 culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey. A voice that matters: From day one, we value your ideas and contributions. You'll make a tangible impact by offering innovative ideas and practical solutions. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes. Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm's diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you'll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences. World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.

Requirements

• Bachelor's or advanced degree from an accredited institution, with consulting experience preferred-ideally within healthcare.
• Entrepreneurial mindset with the ability to thrive in a fast-changing environment and build connections across the organization.
• Strong work ethic, professional attitude, and a 'can-do' mindset, with the ability to manage multiple workstreams in a dynamic setting.
• Exceptional problem-solving skills, creativity, and a passion for working in cross-cultural environments.
• Familiarity with big data, pharmaceutical/MedTech data, and a working knowledge of the pharmaceutical space a plus.
• Hands-on technical expertise, with proficiency in SQL, Python, and experience in unit and end-to-end testing frameworks.
• Experience leading the development of large-scale applications across multiple technical stacks, with familiarity in cloud environments and DevOps practices.
• Skilled in Agile Development methodologies, backlog prioritization, and feasibility/complexity assessments.
• Proven track record of leading high-performing engineering teams, mentoring and coaching team members, and fostering technical excellence.
• Comfortable working in environments where GenAI tools support development, testing, and automation workflows.
• Strong communication skills, with the ability to align teams on complex technical decisions and explain technical concepts to non-technical colleagues.

Responsibilities

• Make application architecture decisions with the help of the team, leveraging GenAI-supported insights, tools, or accelerators when relevant.
• Deliver highly performant, tested, and scalable clean code, incorporating GenAI-assisted development practices when beneficial.
• Own product deployment and performance in production, potentially using GenAI-based observability or anomaly detection tools.
• Mentor and coach the technical team through code reviews and pair programming, encouraging thoughtful use of GenAI tools.
• Anticipate and identify technical impediments and resolve them through architecture design, technology choices, or prioritization.
• Work closely with the Product Owner to align the roadmap with strengths and opportunities within the existing architecture.
• Act as a thought partner to the Product Owner in story creation and acceptance criteria, communicating tradeoffs in a GenAI-aware environment.
• Co-create engineering practices, coding style guidelines, and testing approaches, embedding GenAI considerations where appropriate.
• Constantly look for better ways to solve technical problems and design solutions, integrating GenAI-supported methods.

Benefits

• Comprehensive benefits package to enable holistic well-being for you and your family.
• Competitive salary based on your location, experience, and skills.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Professional, Scientific, and Technical Services
• Education Level: Bachelor's degree
• Number of Employees: 5,001-10,000 employees