1 day ago
Base Salary
$143k - $265k/yr
Responsibilities
- Establish, optimize, and maintain reusable workflows, core libraries, and interactive visualization tools for proteomics, genetics, and genomics data.
- Evaluate, refine, and productionize analytical pipelines for scientific research and pipeline decision-making.
- Promote standardized data models, metadata tracking, data reuse, multimodal analysis, and centralized biological data repositories.
- Translate complex analytical requirements into robust, modular, and maintainable software components.
- Combine open-source tools, commercial technologies, and custom software into unified applications.
- Collaborate with software engineers, computational biologists, machine learning scientists, and research teams on programmatic and user-friendly interfaces.
- Deliver software projects across requirements gathering, design, testing, continuous deployment, documentation, and long-term maintenance.
Requirements
- PhD in Software Engineering, Computer Science, Bioinformatics, or a related quantitative field with at least 2 years of relevant experience, or a master’s degree with at least 5 years of relevant experience.
- Expertise in at least one biological domain, such as multimodal single-cell, proteomics, or large-scale genetic analysis.
- Demonstrated ability to identify, diagnose, and mitigate anomalous data and edge cases.
- Extensive hands-on experience developing software and analytical tools in modern Python and R data science ecosystems, frameworks, and web architectures.
- Ability to apply emerging computational technologies, modern machine learning frameworks, or agentic tooling to scientific workflows.
- Preferred experience designing and managing FAIR data architectures, including data provenance, lineage tracking, and biological data cataloging.
- Preferred professional experience in biotechnology, pharmaceuticals, or drug discovery R&D.
- Preferred experience developing scalable web applications or interactive dashboards for biological data visualization.
- Ability to decompose ambiguous scientific problems into modular components and work autonomously across concurrent deadlines.
Benefits
- Hybrid schedule in South San Francisco with three days per week on campus.
- No relocation benefits are available for this posting.
- Benefits are provided as detailed in the linked benefits information.
- A discretionary annual bonus may be available based on individual and company performance.
Tech Stack
Categories
Data Engineering
About Genentech
Genentech discovers, develops, and commercializes biologic therapies for serious diseases across oncology, immunology, neuroscience, ophthalmology, infectious disease, and metabolism. Founded in 1976 and headquartered in South San Francisco, it operates as a member of the Roche Group, with research centered in its gRED organization and revenue driven by prescription drug sales and collaborations.