•The Position•The Therapeutic Modalities and Technologies group in the Protein Sciences organization at Genentech is responsible for the design and generation of new therapeutic modalities that combine the engineering and analytical principles of multiple scientific disciplines. We are excited to be at the forefront of therapeutic design by generating molecules with unique mechanisms of action. We are looking for an individual to join our Nucleic Acid Technologies team, which leverages innovative molecular and cellular technologies to advance Genentech's therapeutic programs across mRNA, nucleic acid based medicines (ASO/siRNA), and novel modalities. Our team supports pipeline progress through implementation of established workflows, assay and process improvements, as well as the development of new experimental capabilities that increase efficiency and dataset dimensionality. Additionally, we serve as an incubator for novel modalities and emerging technologies, conducting early assessments of high-priority biological questions and modality-enhancing tools that can enable future therapeutic opportunities. •The Opportunity•+ Design and execute experiments leveraging innovative molecular and cellular technologies to advance therapeutic programs across mRNA, nucleic acid-based medicines (ASO/siRNA), and novel modalities. + Optimize experimental workflows and develop new capabilities to increase testing efficiency and dataset dimensionality. + Serve as an incubator for emerging technologies, conducting early assessments of high-priority biological questions that enable future therapeutic opportunities. + Perform techniques such as q

RT-PCR, NGS

library preparation, mammalian cell culture, transfection/electroporation, and cell-based screening. + Analyze complex datasets using platforms and programming tools (e.g., Benchling, Snapgene, R, Python) and present findings to cross-functional partners. + Collaborate closely with team members and project partners in a fast-paced, high-impact research environment. •Who You Are•+ Hold a Master's or PhD degree in Biological Sciences (Genetics, Cell Biology, Molecular Biology, Biochemistry, Genome Engineering, or a related field) with 1+ years of relevant industry or academic experience. + Demonstrate hands-on experience with molecular biology techniques (sequence design, cloning, PCR, qRT-PCR) and mammalian cell culture. + Possess practical experience with NGS library preparation and data analysis platforms. + Show excellent written and verbal communication skills with a strong collaborative mindset and eagerness to learn new scientific capabilities. Together, we'll advance along the whole patient journey with the aspiration to prevent, stop and cure diseases. This position is not eligible for relocation benefits. This position is located in South San Francisco and is an on-site laboratory research position. The expected salary range for this position based on the primary location of California is $103,400.00 - 192,000.00 USD Annual. 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 (https://roche.ehr.com/default.ashx?

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=splash) 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 (https://docs.google.com/forms/d/e/1FAIpQLSdZWlsbfQOvFVIQgHE\_iDzWUTlhZvj6FytIzjS7xq6IGh1H5g/viewform) .