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

Empresa De Gestión Y Selección; Murcia; Hybride; EUR 50 000 - 70 000; Plein temps

Résumé du poste

IQVIA is seeking a Programmer (SAS & R) with German to support health technology assessment and market access activities from Spain. The role emphasizes statistical programming, collaboration with cross-functional teams, and a focus on German AMNOG dossiers and clinical trial data analysis.

Ideal candidates bring over 2 years of SAS experience, strong German and English, and a solid background in biostatistics or data science with familiarity in CDISC SDTM/ADaM standards.

Qualifications

• Master's or PhD in biostatistics, data science, or related field.
• Experience in HTA, AMNOG, HEOR, or Market Access preferred.
• Strong understanding of clinical study designs and endpoints.

Responsabilités

• Develop German AMNOG dossiers and program statistical analyses for Module 4.
• Analyze clinical trial data including efficacy, safety, and subgroups.
• Perform meta-analyses and indirect treatment comparisons.
• Automate and standardize analysis workflows for consistency.
• Collaborate with Market Access, HEOR, Medical Affairs, and EU-HTA teams.
• Ensure quality and clarity of generated outputs.
• Monitor IQWiG, G-BA, and HTA methodological developments.

Connaissances

SAS programming

R programming

CDISC SDTM/ADaM

German language

English language

HTA/AMNOG/HEOR

Market Access

Biostatistics

Statistical programming

Formation

Master's degree in biostatistics or data science

PhD in biostatistics or related field

Outils

SAS

R

CDISC SDTM/ADaM

Description du poste

IQVIA is seeking a Programmer (SAS & R) with German to support health technology assessment and market access activities from Spain. The role emphasizes statistical programming, collaboration with cross-functional teams, and a focus on German AMNOG dossiers and clinical trial data analysis.

Ideal candidates bring over 2 years of SAS experience, strong German and English, and a solid background in biostatistics or data science with familiarity in CDISC SDTM/ADaM standards.