Senior Software Engineer - Full Stack

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 Data 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 Data 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.

The Opportunity:

• Design, develop, and test robust, scalable, and maintainable web applications and backend systems.

• Partner with product managers and scientists to understand user needs, shape requirements, and translate them into actionable technical specifications.

• Develop and maintain systems for collecting, structuring, and storing diverse scientific data that support advanced analytics, machine learning, and other data-driven initiatives.

• Implement user-friendly interfaces and intuitive user experiences.

• Contribute to architectural decisions, code reviews, and the evolution of our development processes.

• Be willing to span the stack and contribute where needed, even outside of your core area of expertise.

• Stay up-to-date with emerging technologies and industry best practices.

• Adopt a culture of continuous learning, collaboration, and curiosity.

Who You Are:

• Bachelor’s or Master’s degree in Computer Science or similar technical field, or equivalent experience.

• 4+ years of professional experience in full-stack software development.

• Strong proficiency in either a front-end framework (React.js or similar) OR a Python or Java backend web framework (Django, Spring, or similar).

• Experience with relational databases, NoSQL databases, or data warehouses.

• Experience working on cloud-native architectures in public clouds (ideally AWS).

• Proven understanding and application of engineering best practices.

• Excellent communication skills and ability to build trusted partnerships with internal and external collaborators.

• Ability to quickly acquire new technologies and programming languages.

• Passion for continuous learning.

Preferred But Not Required:

• Experience with biological data and processes is a strong plus.

• Experience working with scientists or in a research environment is advantageous.

Onsite presence, on our South San Francisco campus, is expected for at least 3 days a week.

Relocation benefits are available for this job posting.

The expected salary range for this position based on the primary location of California is $142,500 - $264,700 of hiring range.  Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law.  A discretionary annual bonus may be available based on individual and Company performance.  This position also qualifies for the benefits detailed at the link provided below.

Benefits

#LI-JD1

#gCSCatalysts

#gCS

Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.

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