HTA Programmer (SAS/R) for German Market Access – Remote

Generalitat De Catalunya - Departament De Drets Socials I Inclusió; Barcelona; Híbrido; EUR 45.000 - 70.000; Jornada completa

Descripción de la vacante

IQVIA is seeking a capable Programmer (SAS & R) with German for a Spain-based hybrid/remote role. You will support health technology assessment (AMNOG) and market access activities, focusing on statistical programming and analysis of clinical trial data.

The ideal candidate holds a Master’s or PhD in biostatistics or data science, with HTA/AMNOG experience and strong SAS/R skills. Collaboration with cross-functional teams and adherence to CDISC standards are key.

Formación

• Master’s degree or PhD in biostatistics or data science.
• Experience with HTA/AMNOG/HEOR/Market Access (industry, consultancy or research institute).
• Familiarity with CDISC SDTM/ADaM and clinical study designs.

Responsabilidades

• Contribute to German AMNOG dossiers with programming of analyses.
• Analyze clinical trial data including efficacy and safety endpoints.
• Perform meta-analyses and indirect treatment comparisons.
• Automate analysis workflows for consistency and efficiency.
• Collaborate with Market Access, HEOR, Medical Affairs and EU-HTA teams.
• Ensure scientific quality and clarity of results.
• Monitor IQWiG, G-BA methodologies and HTA developments.

Conocimientos

Analytical skills

Data interpretation

Process automation

German language

English language

Statistical programming

Educación

Master's or PhD in biostatistics or data science

HTA/AMNOG/HEOR/Market Access experience

Herramientas

SAS programming

R programming

CDISC SDTM/ADaM

Descripción del empleo

IQVIA is seeking a capable Programmer (SAS & R) with German for a Spain-based hybrid/remote role. You will support health technology assessment (AMNOG) and market access activities, focusing on statistical programming and analysis of clinical trial data.

The ideal candidate holds a Master’s or PhD in biostatistics or data science, with HTA/AMNOG experience and strong SAS/R skills. Collaboration with cross-functional teams and adherence to CDISC standards are key.