88-50100571 Data Scientist

Roche • South San Francisco, CA

2d • $156,912 - $197,500 • Hybrid

About The Position

Genentech, Inc. seeks a Data Scientist at its South San Francisco, CA location. Duties: Within a biotechnology organization, apply statistical concepts such as p-values, rates and proportion, frequencies, confidence intervals, survival analysis, and parametric and nonparametric analyses to plan and design statistical software solutions. Plan procedures used for the analysis and reporting of accurate and reliable clinical trial data/results that meet clinical study and project requirements defined in clinical protocol specifications, statistical analysis plans, and statistical theories and methods. Use knowledge of CDISC (Clinical Data Interchange Standards Consortium), SDTM (Study Data Tabulation Model) and ADaM (Analysis Data Model) to develop and plan data analysis types for clinical trial data. Determine how internal, open source, and/or enterprise computing systems should be used for the analysis and reporting of clinical trial results, while adhering to company SOPs and regulatory requirements. Design, analyze, and implement user requirements for clinical data analysis. Refine user requirements requiring corrections or improved specificity, which involves addressing and resolving ambiguities, inconsistencies, and lack of detail in documented requirements for statistical software. Use SAS (Statistical Analysis Software), complex SAS macros, and/or R to build and implement the statistical methods to analyze clinical data with descriptive statistics and statistical methods for categorical and continuous data analyses such as linear models, random effects linear models, generalized linear models, analysis of variance (ANOVA), analysis of covariance (ANCOVA), log-rank test, and Cox proportional hazards modeling.

Requirements

• Master of Science degree or foreign degree equivalent in Statistics, Biostatistics, Computer Science, or closely related field.
• Statistical modeling
• Programming in SAS and/or R/R Shiny
• Food and Drug Administration (FDA) and International Council for Harmonization of Technical Requirements for Pharmaceuticals for Human Use (ICH) guidelines
• Clinical Research

Responsibilities

• Apply statistical concepts such as p-values, rates and proportion, frequencies, confidence intervals, survival analysis, and parametric and nonparametric analyses to plan and design statistical software solutions.
• Plan procedures used for the analysis and reporting of accurate and reliable clinical trial data/results that meet clinical study and project requirements defined in clinical protocol specifications, statistical analysis plans, and statistical theories and methods.
• Use knowledge of CDISC (Clinical Data Interchange Standards Consortium), SDTM (Study Data Tabulation Model) and ADaM (Analysis Data Model) to develop and plan data analysis types for clinical trial data.
• Determine how internal, open source, and/or enterprise computing systems should be used for the analysis and reporting of clinical trial results, while adhering to company SOPs and regulatory requirements.
• Design, analyze, and implement user requirements for clinical data analysis.
• Refine user requirements requiring corrections or improved specificity, which involves addressing and resolving ambiguities, inconsistencies, and lack of detail in documented requirements for statistical software.
• Use SAS (Statistical Analysis Software), complex SAS macros, and/or R to build and implement the statistical methods to analyze clinical data with descriptive statistics and statistical methods for categorical and continuous data analyses such as linear models, random effects linear models, generalized linear models, analysis of variance (ANOVA), analysis of covariance (ANCOVA), log-rank test, and Cox proportional hazards modeling.

Benefits

• A discretionary annual bonus may be available based on individual and Company performance.
• The benefits detailed at (https://roche.ehr.com/default.ashx?CLASSNAME=splash )

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level