HTA Programmer (SAS/R) – Remote/Hybrid, Germany Market Access

Fábrica De Papel De Regalo Y Bolsas De Papel; Gerona; Hybrid; EUR 50.000 - 80.000; Vollzeit

Zusammenfassung

IQVIA in Madrid is seeking a highly motivated programmer with SAS and R skills to support German AMNOG HTA work. Ideal candidates are biostatisticians or data scientists with strong interest in applying clinical evidence to reimbursement decisions and market access.

You will develop analyses for Module 4, perform meta-analyses, automate workflows, and collaborate with Market Access, HEOR, Medical Affairs, and EU-HTA teams. Fluent German and English are required.

Qualifikationen

• Master's degree or PhD in biostatistics, data science, or related field.
• Experience in HTA, AMNOG, HEOR, or Market Access and/or clinical development.
• Solid understanding of clinical study designs, endpoints, and statistical principles.
• Familiarity with the German AMNOG process, IQWiG methodology, or G‑BA procedures is an advantage.

Aufgaben

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

Kenntnisse

SAS programming

R programming

Statistical analysis

Process automation

CDISC SDTM/ADaM

Data science

HEOR/HTA knowledge

German language

Ausbildung

Master's or PhD in biostatistics or data science

Tools

CDISC SDTM/ADaM

Jobbeschreibung

IQVIA in Madrid is seeking a highly motivated programmer with SAS and R skills to support German AMNOG HTA work. Ideal candidates are biostatisticians or data scientists with strong interest in applying clinical evidence to reimbursement decisions and market access.

You will develop analyses for Module 4, perform meta-analyses, automate workflows, and collaborate with Market Access, HEOR, Medical Affairs, and EU-HTA teams. Fluent German and English are required.