The Position
The Position
We advance science so that we all have more time with the people we love.
Genentech Research & Early Development (gRED) Computational Sciences (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 the 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 directly to the Executive Director, Data Solutions and Engineering this Function Tech Lead will play a key role in defining and executing the strategy for the Data Fabric for this newly created group.
Are you a High-Performance Computing (HPC) Engineer who would like to help advance new treatments for cancer and infectious diseases? The gCS Infrastructure and Architecture team (gCS I & A) is looking for a talented and motivated Senior HPC Engineer to join us in supporting and building the next-generation platforms for scientific applications and workflows on our on-premises and public cloud-based HPC platforms. This opportunity will utilize and build on your prior experience building, testing, delivering, and supporting scientific computing software in HPC environments. The work will require technical leadership across globally distributed teams, advocacy for best engineering practices, and some hands-on software development. Our gCS I & A team is integral in empowering our scientists. We support cutting-edge research through the development and operation of a variety of foundational technology platforms and systems. This includes high-performance computing (HPC), cloud platforms, modern software development tools, petabyte-scale storage, and advanced machine learning and artificial intelligence systems.
The Opportunity
- Common open source and commercial scientific software codes used in HPC
- High-level programming languages used in science, including Python and R
- Self-service software environment management tools, including conda, mamba, and pip/venv
- Workflow managers, such as Nextflow and Snakemake
- Coach and train other members of the support teams as needed to grow the team's ability to support the scientific community on new software capabilities
- Work directly with and support HPC users
- Collaborate with internationally distributed teams
- Apply and advocate for engineering best practices
- Communicate effectively in both written and verbal form to non-technical audiences
Who You Are
- 4+ years of related experience supporting scientific computing and/or high-performance computing (HPC) platforms
- 4+ years of education (or equivalent experience) with computer science, information systems, engineering, or life/physical sciences preferred
- Experience compiling, delivering, and supporting software codes on an HPC cluster
- Solid engineering and coding skills, and ability to write quality code/scripts. Prior experience with Python and Bash is a must
- Solid understanding of Linux operating system fundamentals
- Basic understanding of HPC schedulers, job optimization, and best practices
- Experience in working with source control management systems such as Git
Preferred
- Experience with software packaging tools such as EasyBuild, Spack, and Homebrew
- Experience with DevOps software engineering practices, including continuous integration and testing frameworks
- Experience with software distribution solutions such as the CernVM File System
- Experience with public cloud platforms and managed services
- Experience as a product owner or technical lead at the team or project level
- Prior experience in the Pharma/Biotech industry
Relocation benefits are available for this opportunity.
For a strong candidate, we are open to this being a remote-based opportunity.
The expected salary range for this position based on the primary location of California is $126,700 - 235,300. 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
Genentech is an equal opportunity employer, and we embrace the increasingly diverse world around us. Genentech prohibits unlawful discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin or ancestry, age, disability, marital status and veteran status.
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