Job Description

Locations

• South San Francisco

Salary

Skills Required

• clinical trial statisticsintermediate
• analysis of multimodal dataintermediate
• programming using Rintermediate
• at least one specialized data domain: biomarkersintermediate
• regulatory guidelinesintermediate
• multiple drug development phasesintermediate
• scientific collaborationintermediate

Required Qualifications

• You hold a PhD or MSc in Statistics, Biostatistics, Machine Learning, or a closely related quantitative discipline. (degree in msc in statistics)
• You have a minimum of 3 years of relevant experience in clinical trial statistics or applied data science within a pharmaceutical, biotech, or CRO setting. (experience, 3 years)
• You possess demonstrated experience in the analysis of multimodal data and the hands-on application of advanced statistical methods to drive data-informed decision-making. (experience)
• You are highly proficient in programming using R, Python, and/or SAS to solve complex analytical problems. (experience)
• You demonstrate strong independent thinking, with the ability to apply critical thinking and problem-solving skills beyond the purely technical domain. (experience)
• You are 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. (experience)
• You thrive in a global environment, demonstrating respect for cultural differences and the ability to work autonomously while collaborating effectively within a matrixed team structure. (experience)
• You hold a PhD or MSc in Statistics, Biostatistics, Machine Learning, or a closely related quantitative discipline. (degree in msc in statistics)
• You have a minimum of 3 years of relevant experience in clinical trial statistics or applied data science within a pharmaceutical, biotech, or CRO setting. (experience, 3 years)
• You possess demonstrated experience in the analysis of multimodal data and the hands-on application of advanced statistical methods to drive data-informed decision-making. (experience)
• You are highly proficient in programming using R, Python, and/or SAS to solve complex analytical problems. (experience)
• You demonstrate strong independent thinking, with the ability to apply critical thinking and problem-solving skills beyond the purely technical domain. (experience)
• You are 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. (experience)
• You thrive in a global environment, demonstrating respect for cultural differences and the ability to work autonomously while collaborating effectively within a matrixed team structure. (experience)

Preferred Qualifications

• Expertise in at least one specialized data domain: biomarkers, imaging, or digital health measurements. (experience)
• A track record of taking analytical ownership of translational and exploratory analyses that have informed portfolio, program, or scientific decisions. (experience)
• Hands-on experience operating as a study-level statistician, including familiarity with regulatory guidelines (e.g., ICH), CDISC standards, and the execution of standard clinical trial deliverables. (experience)
• Knowledge of multiple drug development phases (early and late stage) and an understanding of the broader pharmaceutical industry context. (experience)
• Experience in scientific collaboration or informal leadership within a functional or project team. (experience)
• Expertise in at least one specialized data domain: biomarkers, imaging, or digital health measurements. (experience)
• A track record of taking analytical ownership of translational and exploratory analyses that have informed portfolio, program, or scientific decisions. (experience)
• Hands-on experience operating as a study-level statistician, including familiarity with regulatory guidelines (e.g., ICH), CDISC standards, and the execution of standard clinical trial deliverables. (experience)
• Knowledge of multiple drug development phases (early and late stage) and an understanding of the broader pharmaceutical industry context. (experience)
• Experience in scientific collaboration or informal leadership within a functional or project team. (experience)

Responsibilities

• You 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.
• You perform hands-on analysis of multimodal data, researching and implementing advanced statistical methodologies and predictive modeling to address complex clinical challenges.
• You 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.
• You 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.
• You represent Biostatistics and PDD on cross-functional project teams, ensuring the statistical rigor of study deliverables.
• You 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.
• You provide functional guidance and informal mentorship to less experienced statisticians or data scientists.
• You 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.
• You perform hands-on analysis of multimodal data, researching and implementing advanced statistical methodologies and predictive modeling to address complex clinical challenges.
• You 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.
• You 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.
• You represent Biostatistics and PDD on cross-functional project teams, ensuring the statistical rigor of study deliverables.
• You 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.
• You provide functional guidance and informal mentorship to less experienced statisticians or data scientists.

Benefits

• general: The expected salary range for this position based on the primary location of California is $136,900 - $254,200. 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.
• general: 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.
• general: 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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