HTA Programmer (SAS & R) for German Market Access — Remote

Elpuertodesantamaria; Valencia; Híbrido; EUR 55.000 - 75.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health insurance

Career development

Descripción de la vacante

IQVIA in Madrid, Spain seeks an enthusiastic HTA Programmer to support German AMNOG dossiers with rigorous SAS & R analyses. The role emphasizes statistical programming for Module 4, clinical study data interpretation, and collaboration across Market Access and HEOR teams. Fluency in German and English is essential.

Hybrid remote work in Spain is available. The ideal candidate holds a Master/PhD in biostatistics with exposure to HTA or AMNOG processes and is skilled in CDISC SDTM/ADaM standards

Formación

• Master's degree or PhD in biostatistics or related field.
• Experience in HTA/AMNOG/HEOR or Market Access preferred.
• Familiarity with CDISC SDTM/ADaM standards.
• German AMNOG IQWiG knowledge is an advantage.

Responsabilidades

• Develop German AMNOG dossiers focusing on statistical analyses for Module 4.
• Analyze clinical trial data for efficacy, safety and endpoints.
• Perform meta-analyses and indirect treatment comparisons.
• Automate analysis workflows for efficiency and reproducibility.
• Collaborate with cross-functional teams (Market Access, HEOR, Medical Affairs, EU-HTA).
• Ensure quality and clarity of generated outputs.
• Monitor methodological developments from IQWiG, G-BA and HTA bodies.

Conocimientos

SAS programming

R programming

Statistics

Data science

Process automation

Clinical trial data

Educación

MS/PhD in biostatistics

Herramientas

CDISC SDTM/ADaM

Descripción del empleo

IQVIA in Madrid, Spain seeks an enthusiastic HTA Programmer to support German AMNOG dossiers with rigorous SAS & R analyses. The role emphasizes statistical programming for Module 4, clinical study data interpretation, and collaboration across Market Access and HEOR teams. Fluency in German and English is essential.

Hybrid remote work in Spain is available. The ideal candidate holds a Master/PhD in biostatistics with exposure to HTA or AMNOG processes and is skilled in CDISC SDTM/ADaM standards