Roche
Senior Principal Scientist -Bioanalytical Assay- Cell Therapy
South San Francisco · Principal
Sponsorship not specifiedDetected 6 hours ago
PharmacologyqPCRFlow CytometryResearchAnimal StudiesLeadershipCommunicationPublic Speaking
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Cap-exempt (no lottery)0
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Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
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About the role
- We advance science so that we all have more time with the people we love.
- The Senior Principal Scientist will establish integrated, fit-for-purpose strategies that generate the evidence needed to inform development, regulatory, and portfolio decisions across multiple programs.
- This individual will shape scientific direction across multiple programs, establish best practices across the Cell Therapy portfolio, and represent Bioanalytical Sciences as a scientific leader within cross-functional teams.
Requirements
- Direct experience supporting the development of cell therapy products, such as CAR-T, TCR-T, TILs, iPSC-derived products, gene-edited cellular therapies, or other advanced cellular modalities.
- Strong knowledge of bioanalytical methodologies, including flow cytometry, molecular assays (qPCR/ddPCR), ligand-binding assays, functional bioassays, biomarker assays, and emerging multiomic approaches.
- Excellent written and verbal communication skills with the ability to communicate complex scientific concepts and strategic recommendations to multidisciplinary teams, senior leadership, and external stakeholders.
Nice to have
- Experience integrating bioanalytical, translational, clinical, computational, and manufacturing data to inform development and portfolio decisions.
- Experience applying advanced computational or AI-enabled approaches to bioanalytical data integration and interpretation.
Compensation
- The expected salary range for this position based on the primary location of California is $173,100- S321,500.00.
Equal opportunity
- equal opportunity employer.
- If you have a disability and need an accommodation in relation to the online
This listing is sourced directly from Roche's careers page and normalized into a canonical job model.