Jobs · Science · California

Senior Biostatistician (Translational and Exploratory Biostatistics)

Genentech · South San Francisco, CA · Yesterday
Science$137k–$254k/yrFull-time

Responsibilities

  • Drive the statistical execution and contribute to the analytical strategy for a diverse portfolio of work, ranging from clinical study deliverables to complex translational and exploratory initiatives, ensuring scientific integrity across the board.
  • Perform hands-on analysis of multimodal data, researching and implementing advanced statistical methodologies and predictive modeling to address complex clinical challenges.
  • Provide end-to-end statistical support for traditional clinical trials, which includes contributing to study design, protocol development, authoring Statistical Analysis Plans (SAPs), and supporting Clinical Study Reports (CSRs) for regulatory submissions.
  • Act as a key statistical partner on cross-functional teams, collaborating proactively to translate complex data into clear communications and actionable insights for internal and external stakeholders.
  • Represent Biostatistics and PDD on cross-functional project teams, ensuring the statistical rigor of study deliverables.
  • Maintain up-to-date expertise in the latest developments within the fields of statistics, machine learning, and data science to ensure the application of the most appropriate analytical approaches.
  • Provide functional guidance and informal mentorship to less experienced statisticians or data scientists.

Qualifications

  • Hold a PhD or MSc in Statistics, Biostatistics, Machine Learning, or a closely related quantitative discipline.
  • Have a minimum of 3 years of relevant experience in clinical trial statistics or applied data science within a pharmaceutical, biotech, or CRO setting.
  • Possess demonstrated experience in the analysis of multimodal data and the hands-on application of advanced statistical methods to drive data-informed decision-making.
  • Be highly proficient in programming using R, Python, and/or SAS to solve complex analytical problems.
  • Demonstrate strong independent thinking, with the ability to apply critical thinking and problem-solving skills beyond the purely technical domain.
  • Be an effective communicator and collaborator, capable of partnering with diverse stakeholders across the organization and translating complex technical concepts into clear language for non-expert audiences.
  • Thrive in a global environment, demonstrating respect for cultural differences and the ability to work autonomously while collaborating effectively within a matrixed team structure.

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