We’re passionate about delivering on Our Promise to improve the lives of patients and create healthier communities for all. We foster a culture of inclusivity, integrity and creativity while boldly pursuing answers to the world’s most complex health challenges and transforming society. The Opportunity Genentech is seeking a talented and highly motivated Bioinformatics Software Engineer to join our newly established Computational Sciences Center of Excellence (CoE) within the Analytics and Workflows group. In this role, you will operate at the critical intersection of data science, biology, and software engineering, building scalable tools that bridge the gap between raw experimental data and meaningful biological interpretation. You will work alongside world-class computational biologists, data scientists, and research teams across gRED and pRED to advance drug discovery pipelines and deliver life-changing medicines to patients worldwide. Establish, optimize, and maintain reusable workflows, core libraries, and interactive visualization tools for the analysis and quality control of proteomics, genetics, and genomics data. Evaluate, refine, and productionize analytical pipelines that empower research scientists to interrogate complex biology and make data-driven pipeline decisions. Facilitate seamless data reuse, multimodal analysis, and downstream AI/ML initiatives by promoting standardized data models, metadata tracking, and centralized repositories. Deeply engage with computational scientists and domain researchers to translate complex analytical needs into robust, modular, and maintainable software components. Evaluate and combine open-source tools, commercial technologies, and custom in-house software into unified, reliable applications. Collaborate with interdisciplinary teams of software engineers, computational biologists, and machine learning scientists to build diverse programmatic and user-friendly interfaces. Who you are Hold a 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 in a clinical, academic, or commercial research setting. Possess expert knowledge in at least one biological domain—such as multimodal single-cell, proteomics, or large-scale genetic analysis—with a demonstrated track record of rapidly identifying, diagnosing, and mitigating anomalous data or edge cases. Bring extensive hands-on experience developing robust software and analytical tools within modern Python and R data science ecosystems, frameworks, and web architectures. Demonstrate AI fluency by actively applying emerging computational technologies, modern ML frameworks, or agentic tooling to optimize scientific workflows and accelerate project deliverables. Have demonstrated success taking software projects through the full lifecycle—including requirements gathering, design, testing, continuous deployment, documentation, and long-term maintenance. Preferred Experience designing and managing FAIR (Findable, Accessible, Interoperable, Reusable) data architectures, including robust data provenance, lineage tracking, and biological data cataloging. Prior professional experience working within a biotechnology, pharmaceutical, or drug discovery R&D environment. Proven ability to decompose large, ambiguous scientific problems into clean, modular components, working with high autonomy across concurrent project deadlines. Experience developing scalable web applications or interactive dashboards (e.g., Shiny, Streamlit, Dash, FastAPI) tailored for biological data visualization. Location This role is based in South San Francisco and offers a hybrid schedule working 3 day per week on campus No relocation benefits are available for this posting The expected salary range for this position based on the primary location of CA is $142,500 - $264,700. 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 #ComputationCoE #tech4lifeComputationalScience #tech4lifeAI 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. If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants. Who We Are Genentech, a member of the Roche group and founder of the biotechnology industry, is dedicated to pursuing groundbreaking science to discover and develop medicines for people with serious and life-threatening diseases. To solve the world's most complex health challenges, we ask bigger questions that challenge our industry and the boundaries of science to transform society. Our transformational discoveries include the first targeted antibody for cancer and the first medicine for primary progressive multiple sclerosis. The next step is yours. To apply today, click on the "Apply for this job" button. 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. If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.

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