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 collaborative, 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. The Senior Software Engineer will play a key role in executing the strategy for the Data Ecosystem for this newly created group.
The Data and Solutions Engineering group within Computational Catalyst is accountable for establishing a common Data Fabric which connects our Systems, specifically our Data Pipelines and Applications for data acquisition, collection, storage, transformation, linkage and sharing. This team strives to build delightful applications and systems for our stakeholders with a strategic mindset. The team is responsible for end to end product lifecycle management and the work done is leveraged downstream for building key scientific insights and enabling our ML/AI workflows and models.
As a Full Stack Engineer in Data and Solutions Engineering, you will work closely with Catalyst colleagues such as Software Engineers, Product Leaders, and Tech/ML Ops as well as directly with our key partners including Computational Scientists, ML Scientists, and Research Scientists. You’ll build robust and scalable systems that unlock the potential of our diverse scientific data, accelerating the discovery and development of life-changing treatments for patients.

Please refer the Job description for details