Remote SAS/R Biostatistician for HTA & AMNOG Analytics

Cadena De Tiendas De Ropa Internacional; Zamora; Hybrid; EUR 45,000 - 65,000; Full time

Job summary

Programmer (SAS & R) with German – Spain-based, hybrid/remote. The role focuses on developing statistical analyses for German AMNOG dossiers, supporting Module 4, and collaborating with Market Access teams across Europe.

The ideal candidate holds a Master’s degree or PhD in biostatistics or data science, with HTA/HEOR exposure, CDISC SDTM/ADaM familiarity, and strong programming skills in SAS and R.

Qualifications

• Master's degree or PhD in biostatistics, data science, or a related field.
• Experience in HTA, AMNOG, HEOR, or Market Access preferred.
• Solid understanding of clinical study designs, endpoints, and statistical principles.
• Familiarity with clinical study data and industry standards (CDISC SDTM/ADaM).
• Familiarity with German AMNOG process, IQWiG methodology, or G‑BA procedures is advantageous.

Responsibilities

• Contribute to development of German AMNOG dossiers, focusing on programming of statistical analyses for Module 4.
• Perform analysis of clinical trial data, including efficacy, safety, endpoints, and subgroup analyses.
• Perform meta-analyses and indirect treatment comparisons and support interpretation of statistical outputs.
• Contribute to automation and standardization of analysis workflows for efficiency, consistency, and reproducibility.
• Collaborate closely with cross functional teams (Market Access, HEOR, Medical Affairs, EU-HTA Team).
• Ensure scientific quality, clarity, and consistency of generated outcomes.
• Monitor and interpret methodological developments from IQWiG, G-BA, and relevant HTA bodies.

Skills

SAS programming

R programming

German language

Biostatistics

Data analysis

Education

Master's degree in biostatistics or data science or related field

PhD in biostatistics or related field

Tools

CDISC SDTM/ADaM

Job description

Programmer (SAS & R) with German – Spain-based, hybrid/remote. The role focuses on developing statistical analyses for German AMNOG dossiers, supporting Module 4, and collaborating with Market Access teams across Europe.

The ideal candidate holds a Master’s degree or PhD in biostatistics or data science, with HTA/HEOR exposure, CDISC SDTM/ADaM familiarity, and strong programming skills in SAS and R.