88-50100571 Analytical Data Scientist

Roche; South San Francisco (CA); Hybrid; USD 143,000 - 198,000; Full time

Benefits offered by this job

Discretionary annual bonus

Job summary

Genentech, Inc. seeks an Analytical Data Scientist in South San Francisco, CA to drive statistical programming for product development. You will lead programming teams, design analyses, and ensure high-quality SDTM/ADaM datasets and TLFs for clinical trials.

The role requires a Master’s in biostatistics or related field and expertise in SAS, SQL, and R, with experience in survival modeling and causal inference. Telecommuting up to 3 days/week is possible.

Qualifications

• Master’s degree in biostatistics, mathematics, data science or closely related field.
• Strong statistical programming skills in SAS, SQL, and R.
• Experience with clinical trial analysis and data standards.

Responsibilities

• Lead statistical programming activities for product development data analyses.
• Develop SDTM/ADaM datasets and related TLFs for clinical trials.
• Collaborate with cross‑functional teams to plan, design, and implement analysis
• Provide statistical recommendations and ensure quality control across output.

Skills

Statistical programming

Survival modeling

Causal inference

Collaborating with stakeholders

Education

Master’s degree in biostatistics, mathematics, data science

Tools

SAS

SQL

R

Job description

The Position

Genentech, Inc. seeks an Analytical Data Scientist at its South San Francisco, California location.

Duties: Within global biotechnology organization, conduct statistical programming and analyses to support the company’s Product Development Data (PDD) Sciences used for pharmaceutical and biotech drug development. Lead statistical programming teams in planning, designing, and implementing statistical software solutions for clinical trial reporting and analysis. Assess, clarify and make statistical recommendations on study requirements, develop statistical programming strategies, and ensure efficient implementation as the Study Lead. Develop data science strategies to meet study and project requirements; manage output specifications and output risk assessments; and specify, review, and implement analysis datasets. Identify and assign deliverables for clinical study team members in support of across molecule programs. Conduct statistical programming and analytics as a component of clinical projects. Communicate with stakeholders from different scientific backgrounds and areas of expertise to negotiate timelines and scope of deliverables. Develop and validate datasets and statistical outputs for clinical studies, including Study Data Tabulation Model (SDTM) datasets, Analysis Data Model (ADaM) datasets, and tables, listings, and figures (TLFs) through adherence to risk assessment and quality control guidelines and internal processes. Assist in developing visualizations/dashboards for data exploration using interactive applications and data insights platforms. Document reproducible and accurate outputs and ensure alignment with programming specifications. Resolve technical issues in code or output that cause data discrepancies. Collaborate with global health authorities to support company’s product pipeline and build partnerships to collaborate with global affiliates to support products, processes, and systems while ensuring compliance with regulatory and process requirements.

Education and Experience Requirement: Requires a Master’s degree in biostatistics, mathematics, data science or closely related field.

Specials Skills Requirement: Must have the following skills from academic studies, research, or industry: 1) Statistical programming knowledge of clinical and biomedical data in product development processes within biopharmaceutical industry, 2) Software development and programming expertise in SAS, SQL, and R, 3) Statistical methodologies in biomedicine such as survival modeling, causal inference, and clinical trials, and 4) Collaborating with stakeholders from different scientific backgrounds on biomedical related research projects. May telecommute up to 3 days per week.

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Worksite: 1 DNA Way, Central Campus, South San Francisco, California 94080.

The expected annual salary range for this position based on the primary location for this position in South Francisco, California is $142,656 to $197,500 per year. Actual pay within the range 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 (https://roche.ehr.com/default.ashx?CLASSNAME=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.