Principal Product Leader, gCS Search

at  Genentech

THE POSITION

We advance science so that we all have more time with the people we love.
At Genentech Research & Early Development (gRED) we have initiated an exciting journey to bring together and further strengthen our computational talent and capabilities by forming a new, central organization - gRED Computational Sciences (gCS). gCS is on a mission to partner across the organization to realize the potential of data, technology and computational approaches that will revolutionize how targets and therapeutics are discovered and developed, ultimately enabling novel treatments for patients across the world. We stand at the beginning of an exciting journey.
The Computational Catalysts group within gCS is a diverse, curious and action-driven team at the intersection of computation, engineering and science with ambition to advance our technical excellence. The focus of the team is on partnering with the informatics and scientific communities to create a computational and data ecosystem that powers scientific discovery and accelerates decision making. We aim to modernize our ability to acquire, store, link, share, find and analyze data across the organization through scalable and integrated solutions that truly make every data point count. Reporting to the Head of Product for Data Solutions and Engineering, this Principal Product Leader will play a key role in defining and executing the strategy for gCS Search.
The Data Solutions and Engineering group within Computational Catalyst is accountable for ensuring solutions are in place that enables users to search for what data exists and if/how it can be accessed. The specific focus will be on use cases that can meaningfully increase scientific productivity. This also means the focus is not on building an enterprise search solution. Instead, the objective is to build a best-in-class Search experience that empowers our scientists to effortlessly discover and access relevant data and insights across the organization, regardless of where or how it is stored, ensuring that knowledge of data is never a bottleneck to innovation and research. Desired outcomes include enhancing our scientist’s productivity by unifying the overall search experience, and using emerging technologies such as AI/ML and LLMs to effectively leverage our data ecosystem.
In hiring new employees, we look for people who are inspired by our mission and can thrive with the collaborative, thorough, and entrepreneurial spirit of our company culture. Because we know that employees are essential to our success in bringing novel medicines to patients, we are dedicated to remaining an extraordinary place to work and to providing employees with programs, services, and benefits that allow them to bring the best to the organization and to their personal lives.
Onsite presence, on our South San Francisco campus, is expected for at least 3 days a week.

Please refer the Job description for details