Top Biotech Data Science Jobs in San Francisco, CA
The Outcomes Research Data Scientist will lead independent analyses of real-world evidence (RWE) studies, interpreting results and communicating findings to external partners. This role requires collaboration with various teams to enhance data quality and ensure compliance with regulations, while staying abreast of developments in oncology and methodologies for real-world studies.
The Staff Scientist Biostatistics will lead biostatistical activities, develop study protocols and statistical analysis plans, support clinical and real-world evidence study reporting, and contribute to regulatory submissions and publications. This role requires collaboration with cross-functional teams and staying updated on statistical methodologies and industry developments.
The Senior Scientist will lead analytical development and quality control initiatives in a dynamic environment, focusing on AAV gene therapy. Responsibilities include developing assays for titer, purity, and residuals, managing external vendor collaborations, authoring standard procedures, and mentoring staff while ensuring compliance with regulatory standards.
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The Computational Biologist/Data Scientist at Calico will work with the proteomics team to develop data analysis strategies and algorithms for mass spectrometry proteomics data. The role involves collaborating with scientists, maintaining in-house tools, and using exploratory techniques to derive biological insights.
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