Software Engineer

Genentech Research & Early Development (gRED) is seeking a Full Stack Software Engineer to join their newly formed gRED Computational Sciences (gCS) organization. This role sits within the Computational Catalysts group, specifically in the Data and Solutions Engineering team, where you'll be instrumental in building the data ecosystem that powers scientific discovery.

The position offers an unique opportunity to work at the intersection of technology and biotechnology, where your software engineering skills will directly contribute to advancing medical research and drug development. You'll be developing scalable systems that handle diverse scientific data, building both frontend and backend solutions that enable scientists and researchers to make breakthrough discoveries.

As part of the role, you'll collaborate with a diverse team including Software Engineers, Product Leaders, Computational Scientists, and ML Scientists. The work environment promotes continuous learning and innovation, with access to cutting-edge technologies and complex technical challenges. The team culture emphasizes collaboration, curiosity, and technical excellence.

The position offers a competitive salary range of $115,200 - $214,000, along with relocation benefits and the opportunity to work in a hybrid setting at the South San Francisco campus. You'll be part of a mission-driven organization that advances science to give people more time with their loved ones.

Key technical aspects include full-stack development using React.js, Python/Java frameworks, working with various databases, and cloud technologies (AWS). While experience with biological data is a plus, the role primarily requires strong software engineering fundamentals and the ability to quickly learn new domains.

This is an excellent opportunity for a mid-level software engineer who wants to make a meaningful impact in healthcare while working with cutting-edge technology. The role offers significant growth potential within a newly formed organization that's positioning itself at the forefront of computational sciences in biotechnology.