Roche is a leading company in the pharmaceutical industry, and they are seeking an ADS Programmer to contribute to the clinical study team. The role involves transforming statistical analysis plans into programming deliverables, ensuring compliance with regulatory standards, and generating data insights through various platforms.
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.
Qualification
Required
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
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.
Benefit
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.
Roche is a pharmaceutical and diagnostics company that offers medicines and diagnostic tests for various medical conditions and diseases.
