ADS Programmer at F. Hoffmann-La Roche Ltd - Poland

Basel, Basel-City, Switzerland -

Full Time

Start Date

Immediate

Expiry Date

24 Dec, 25

Salary

0.0

Posted On

25 Sep, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Statistical Programming, Data Analysis, SAS, R Programming, Data Visualization, Clinical Research, CDISC Standards, Data Integrity, Collaboration, Communication, Quality Control, Problem Solving, Attention to Detail, Exploratory Analysis, Programming Standards, Technical Documentation

Industry

Biotechnology Research

Description

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters. The Position A healthier future. It’s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That’s what makes us Roche. 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 #PDDT #PDDBasel Who we are A healthier future drives us to innovate. Together, more than 100’000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact. Let’s build a healthier future, together. Roche is an Equal Opportunity Employer. We believe it’s urgent to deliver medical solutions right now – even as we develop innovations for the future. We are passionate about transforming patients’ lives. We are courageous in both decision and action. And we believe that good business means a better world. That is why we come to work each day. We commit ourselves to scientific rigor, unassailable ethics, and access to medical innovations for all. We do this today to build a better tomorrow. We are proud of who we are, what we do, and how we do it. We are many, working as one across functions, across companies, and across the world. We are Roche.

Responsibilities

The Analytical Data Science Programmer is responsible for transforming statistical analysis plans into high-quality programming deliverables, including tables, listings, figures, and interactive data visualizations. This role also involves creating and validating datasets in accordance with regulatory standards and supporting exploratory analyses across various disease areas.