Senior Software Engineer - Life Sciences (San Francisco)

QUALIFICATIONSUndergraduate or master’s degree; or equivalent experience5+ years of experience in software development, with demonstrated knowledge and hands-on experience across the full application stack with some of the following languages/frameworks: JavaScript, TypeScript, React, Angular, Vue, jQuery, Java, Sprint, C#, .NET, Node.js, SQL, MySQL, SQL Server, MongoDB, cloud-native databases, AWS, Azure, GCP, Jenkins, Docker, Circle CI, TravisExperience with big data, pharmaceutical/MedTech data, a working knowledge of the pharmaceutical space, and/or greater Healthcare space requiredEntrepreneurial mindset with the ability to thrive in a fast-changing environment and build connections across the organization; comfort with ambiguity and rapid changes common in early-stage product developmentExceptional problem-solving skills, creativity, and a passion for working in cross-cultural environmentsStrong work ethic, professional attitude, and a “can-do” mindset, with the ability to manage multiple workstreams in a dynamic setting,Ability to collaborate closely with Product Owners and stakeholders to deliver feasibility/complexity assessments and think critically about backlog prioritizationPractical knowledge of software engineering best practices, including Agile development methodologies, DevOps, DataOps, MLOps, containerization (e.g., Docker), and orchestration, as well as hands-on experience with CI/CD tools and version control systems (GitHub), and ability to leverage and model Agile development practices and mindsetsRecent experience in implementing cloud-native software solutions on AWS, Azure and/or GCP with hands-on experience debugging complex distributed systems using cloud-native observability tooling, experience with cloud-native architecture design a plusExperience building software solutions which integrate with GenAI resources, LLMs, or Agentic flows. Experience in prompt engineering for software development use cases. Experience in implementing GenAI capabilities with cloud-native software using modern frameworks (e.g., langchain, lammaindex) a plusStrong communication skills, with the ability to align teams on complex technical decisions and explain technical concepts to non-technical colleaguesWHO YOU'LL WORK WITHDriving 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, all while upholding our unwavering commitment to ethics and integrity. 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.WHAT YOU'LL DOAs a Senior Software Engineer with the Life Sciences Data and Analytics Center of Excellence, you will develop full stack software applications in an exciting Life Sciences context, while leveraging GenAI-supported insights, tools, or accelerators when relevant.You will deliver highly performant, tested, and scalable clean code, with openness to incorporating GenAI-assisted development practices when beneficial. You will make application architecture decisions with the help of the team, and own product deployment and performance in production, potentially using GenAI-based observability or anomaly detection tools in the operating environment.In this role, you will mentor and coach the more junior members of the technical team, including through code reviews and pair programming, and encourage thoughtful use of GenAI tools in the development process. You will anticipate and identify technical impediments and resolve them through architecture design, technology choices, or prioritization—considering GenAI’s role in enhancing or accelerating these pathways. Additionally, you will work closely with the Product Owner to align the roadmap with strengths and opportunities within the existing architecture, including GenAI-enabled processes.You will act as a thought partner to the Product Owner in story creation and acceptance criteria, clearly communicating tradeoffs in a GenAI-aware environment. You will co-create engineering practices, coding style guidelines, and testing approaches, embedding GenAI considerations such as code suggestions, test automation, or documentation generation where appropriate. Finally, you will constantly look for better ways to solve technical problems and design solutions, remaining open to challenging the status quo and integrating GenAI-supported methods where they enhance team performance or quality.McKinsey’s Life Sciences (LS) Practice serves clients across multiple dedicated functional service lines spanning Commercial, R&D, and Operations, as well as a host of client interest groups and functional joint ventures. Within the LS Practice, you’ll be a member of the Data & Analytics CoE.The Data & Analytics CoE is a highly visible, critical component of the practice. We are a growing group with an expanding global footprint. This is a top global priority and a high-profile position; the CoE regularly works with McKinsey Life Sciences senior leaders. We have the important remit of improving the insights we deliver to clients by designing the data strategy and delivering a large portion of analytics for the LS practice.