88-50100571 Analytical Data Scientist
About 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.
Requirements
- Master’s degree in biostatistics, mathematics, data science or closely related field.
- Statistical programming knowledge of clinical and biomedical data in product development processes within biopharmaceutical industry.
- Software development and programming expertise in SAS, SQL, and R.
- Statistical methodologies in biomedicine such as survival modeling, causal inference, and clinical trials.
- Collaborating with stakeholders from different scientific backgrounds on biomedical related research projects.
Responsibilities
- 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.
Benefits
- 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).
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What This Job Offers
Job Type
Full-time
Career Level
Senior
