Statistical Programmer

Descripción del puesto:

At Danone, clinical research plays a critical role in building the scientific evidence behind our health-focused products. As a Statistical Programmer, you will transform complex clinical trial data into high-quality analyses that support evidence generation, scientific publications and regulatory compliance.

Working within our Biometrics team, you will develop and validate statistical programs using SAS and/or R, ensuring accurate, reliable and timely results across a range of clinical studies. You will collaborate with statisticians, data managers and clinical research teams while contributing to continuous improvements in programming standards, processes and technology.

Key Responsibilities

* Develop and validate analysis-ready datasets and statistical outputs for clinical studies, publications and reports.
* Deliver high-quality programming solutions that support accurate and timely study results.
* Advise stakeholders on clinical data structures, dataset composition and statistical programming approaches.
* Ensure statistical programming deliverables and documentation comply with Good Clinical Practice, data governance requirements and internal quality standards.
* Contribute to technical innovation, automation and process improvements that enhance the quality and efficiency of clinical research delivery.

You are a detail-oriented Statistical Programmer who thrives in a collaborative research environment. You enjoy working with complex clinical data, delivering high-quality outputs and partnering with multidisciplinary teams to generate robust scientific evidence.
You combine strong technical expertise with a quality-first mindset and are comfortable communicating with stakeholders across different disciplines.

Must-Haves

* Master's degree in Life Sciences, Biomedical Sciences, Statistics, Biostatistics or a related field.
* Minimum 2 years of experience in statistical programming within a clinical research setting.
* Hands-on experience with SAS and/or R.
* Experience creating analysis datasets and statistical outputs for clinical study reports, interim analyses, scientific publications or related clinical research deliverables.
* Understanding of clinical trial processes, clinical data and quality requirements within a regulated environment.
* Strong attention to detail, effective planning skills and proactive communication.

Nice-to-Haves

* Knowledge of CDISC standards, including SDTM and ADaM.
* Experience applying AI-powered tools or innovative technologies to statistical programming, data analysis or programming workflows.
* Familiarity with Good Clinical Practice (GCP) and clinical data governance principles.
* Experience collaborating with statisticians, data managers and other clinical research professionals.
* Experience working in an international and cross-functional environment." descriptionHeader="

At Danone, clinical research plays a critical role in building the scientific evidence behind our health-focused products. As a Statistical Programmer, you will transform complex clinical trial data into high-quality analyses that support evidence generation, scientific publications and regulatory compliance.
 
Working within our Biometrics team, you will develop and validate statistical programs using SAS and/or R, ensuring accurate, reliable and timely results across a range of clinical studies. You will collaborate with statisticians, data managers and clinical research teams while contributing to continuous improvements in programming standards, processes and technology.

Key Responsibilities

* Develop and validate analysis-ready datasets and statistical outputs for clinical studies, publications and reports.
* Deliver high-quality programming solutions that support accurate and timely study results.
* Advise stakeholders on clinical data structures, dataset composition and statistical programming approaches.
* Ensure statistical programming deliverables and documentation comply with Good Clinical Practice, data governance requirements and internal quality standards.
* Contribute to technical innovation, automation and process improvements that enhance the quality and efficiency of clinical research delivery." workFromHome="Hybrid