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

Adecco Int; Tauste; Híbrido; EUR 60.000 - 90.000; Jornada completa

Descripción de la vacante

IQVIA is seeking a Programmer (SAS & R) with German to support health technology assessment for Germany from Spain. You will contribute to AMNOG dossiers, perform statistical analyses, and help automate workflows while collaborating with Market Access and HEOR teams. Fluency in German and English is required.

The role is based in Madrid with remote/hybrid options, offering full-time engagement and opportunities to apply advanced statistical methods in a global health context.

Formación

• Master's degree or PhD in biostatistics, data science, or a related field.
• Initial experience in HTA, AMNOG, HEOR, or Market Access preferred.
• Solid understanding of clinical study designs, endpoints, and statistical principles.

Responsabilidades

• Contribute to the development of German AMNOG dossiers with programming for Module 4 analyses.
• Perform statistical analyses of clinical trial data including efficacy and safety.
• Conduct meta-analyses and indirect treatment comparisons.
• Automate and standardize analysis workflows for efficiency and reproducibility.
• Collaborate with cross-functional teams (Market Access, HEOR, Medical Affairs, EU-HTA Team).
• Ensure scientific quality and clarity of generated outputs.
• Monitor methodological developments from IQWiG, G-BA, and HTA bodies.

Conocimientos

SAS programming

R programming

CDISC SDTM/ADaM

German language

English language

HTA/AMNOG/HEOR

Statistical analysis

Automation

Educación

Master's degree in biostatistics

PhD in biostatistics

Herramientas

SAS

R

Descripción del empleo

IQVIA is seeking a Programmer (SAS & R) with German to support health technology assessment for Germany from Spain. You will contribute to AMNOG dossiers, perform statistical analyses, and help automate workflows while collaborating with Market Access and HEOR teams. Fluency in German and English is required.

The role is based in Madrid with remote/hybrid options, offering full-time engagement and opportunities to apply advanced statistical methods in a global health context.