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This role is in Analytical Data Science, a core function within Product Development Data Sciences (PDD) that provides strategic leadership and scientific rigor across Development at Roche. PDD Analytical Data Science teams are mobilized across the portfolio to generate data-driven insights, identify opportunities for scale, and implement impactful solutions.
PDD Analytical Data Science is recognized as a leading hub for top industry talent, operating as an agile workforce to deliver regulatory commitments across the portfolio. We identify, influence, and adopt industry-leading digital and automation solutions, develop analytical approaches to support exploratory analyses, and align statistical programming practices across both early- and late-stage clinical development.
The Opportunity
The Analytical Data Science Programmer is a key contributor to the clinical study team, responsible for transforming statistical analysis plans into high-quality, traceable programming deliverables. This includes both static and dynamic outputs, such as tables, listings, figures, and interactive data visualizations or dashboards. The role involves creating and validating datasets in accordance with Study Data Tabulation Model and Analysis Data Model standards, ensuring compliance with regulatory requirements and Roche standards. In addition to supporting regulatory submissions, the ADS Programmer plays a critical role in generating data insights through platforms such as the Insight Engine, enabling real-time exploration and interpretation of diverse clinical and exploratory data. This role contributes to a modern, insight-driven development environment by facilitating robust, timely, and decision-enabling analytics across clinical programs.
You lead the execution of statistical programming activities for multiple studies or regulatory submissions, as well as exploratory and translational research efforts, ensuring the delivery of validated Study Data Tabulation Model (SDTM) datasets, Analysis Data Model (ADaM) datasets, and tables, listings, and figures (TLFs) that meet quality and compliance standards
You drive integration and analysis of diverse data types beyond regulatory deliverables, including biomarker, imaging, and real-world data, to enable deeper scientific insights
You collaborate on cross-disease area exploratory analyses and contribute to hypothesis generation and decision-making through data-driven insights
You lead the development of data insights engines and analytical applications that visualize complex datasets, enabling dynamic exploration by scientific and clinical stakeholders
Who you are:
You hold a Bachelor’s or Master’s degree in Statistics, Computer Science, Mathematics, Life Sciences, or a related field
You have a minimum of 8 years of experience in statistical programming in a clinical development setting, or an advanced degree with 6 years of equivalent work experience
You have a proven ability to lead programming efforts across studies or assets
You bring expertise across multiple, modern programming languages (e.g., R, Python) and review/visualization tools (e.g., SAS)
You have strong knowledge of Clinical Data Interchange Standards Consortium (CDISC) standards (e.g., SDTM and ADaM) and regulatory requirements
You bring expertise in handling and analyzing different types of data (multi-modal)
You have deep expertise in statistical quality, endpoints, and QC processes
You demonstrate respect for cultural differences when interacting with colleagues in the global workplace
You are fluent in English and have excellent communication skills
Preferred:
Experience preparing eCTD submissions and working with regulatory authorities
Involvement in automation or advanced analytics projects (e.g., AI/ML)
Demonstrated ability to coach and mentor colleagues
Strong systems thinking and awareness of the broader enterprise data and technology landscape beyond Product Development Data Sciences (PDD)
Experience working in cross-functional global study teams
Experience with multiple phases of drug development (early and/or late stage)
Excellent communication skills, including the ability to influence and translate complex data for non-technical stakeholders
You develop innovative programming solutions to solve complex technical challenges, including implementing automation, metadata-driven workflows, or other scalable approaches that improve programming efficiency and reliability
You translate statistical analysis plans into executable programming strategies, ensuring analytical intent is accurately reflected in outputs through independent problem-solving and technical rigor
You drive standardization and reuse of code and components, contributing to the development of libraries, macros, and frameworks used across programs
You ensure inspection readiness and documentation completeness by maintaining traceable programming workflows and audit trails in line with internal procedures and external regulatory expectations
You contribute to functional improvement initiatives, such as enhancing tools, templates, and programming best practices, with a focus on elevating quality and operational excellence within the data science function
You maintain accountability to the Data Science Team Lead (DSTL) for execution quality, delivery timelines, and adherence to programming standards and strategy
You serve as a mentor to less experienced colleagues, promoting best practices in software development, analytics tooling, and scientific collaboration
Relocation benefits are not available for this posting
The expected salary range for this position based on the primary location of California is $149,300 - $277,300. 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.
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.
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