Senior Software Engineer - Life Sciences

As 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.