The Position

ADS Programmer

Department Summary

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 support the development and validation of 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), by following established internal standards and using validated programming tools.

• You contribute to the programming and analysis of a broader range of data types, including biomarker and exploratory datasets, to support scientific discovery beyond regulatory submissions.

• You support exploratory analyses across disease areas and assist in developing visualizations or dashboards for data exploration using interactive applications and data insights platforms.

• You generate programming deliverables (e.g., TLFs and datasets) under guidance, applying standard macros and functions in line with Roche programming practices.

• You participate in documentation and quality control activities, contributing to reproducible and accurate outputs and ensuring alignment with programming specifications.

• You assist in resolving technical issues in code or output by analyzing discrepancies and escalating as needed.

• You collaborate with senior programmers to understand study requirements and execute assigned programming tasks.

• You engage in learning activities to grow knowledge of clinical research and programming standards, including developing basic understanding of Clinical Data Interchange Standards Consortium (CDISC) standards.

• You work under general supervision and apply independent judgment to interpret guidance, prioritize responsibilities, and make decisions in situations that require contextual understanding.

• You apply judgment to address moderately complex statistical or data issues, balancing scientific rigor with appropriate flexibility, and seek guidance when facing novel or ambiguous situations.

• You adhere to functional standards by participating in peer review and mentoring relationships to uphold quality and build methodological and programming expertise.

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 2-4 years of experience in statistical programming, or an advanced degree with 0-2 years of equivalent work experience.

• You have basic knowledge of a modern programming language (such as, but not limited to, SAS or R programming) and visualization/review tools.

• You have a basic understanding of statistical quality, endpoints, and QC processes.

• You demonstrate strong logical thinking and attention to data integrity.

• You bring effective communication and collaboration skills.

• You demonstrate respect for cultural differences when interacting with colleagues in the global workplace.

• You are fluent in English.

Preferred Qualifications

• Expertise in handling and analyzing different types of data (multi-modal) to identify and implement programming/analytical strategy.

• Familiarity with CDISC standards (SDTM, ADaM).

• Demonstrated interest and critical thinking in data quality, reproducibility, and continuous learning.

• Ability to follow technical documentation and contribute to team processes.

• Effective communication skills with the ability to translate complex statistical concepts for non-statistical audiences.

• 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.

Relocation benefits are not available for this posting.

The expected salary range for this position based on the primary location of Massachusetts is $97,100.00 - $180,300.00 USD Annual. 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.

Benefits

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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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