Remote HTA Programmer for German AMNOG Analytics

Grupo EULEN

Sevilla

Hybrid

EUR 45,000 - 75,000

Full time

41 hours ago
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Job summary

IQVIA is seeking a Programmer (SAS & R) with German to support health technology assessment activities in Germany while based in Spain. The role combines statistical programming, data analysis, and collaboration with Market Access and HEOR teams.

Ideal candidates hold a Master or PhD in biostatistics or data science, have 2+ years in SAS, and are fluent in German and English. Experience with CDISC SDTM/ADaM and clinical trial methodology is highly valued.

Qualifications

  • Master's degree or PhD in biostatistics, data science, or related field.
  • Experience in HTA, AMNOG, HEOR, or Market Access preferred and/or clinical development.

Responsibilities

  • Contribute to German AMNOG dossier development, focusing on programming 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.
  • Automate and standardize analysis workflows for efficiency and reproducibility.
  • Collaborate with cross-functional teams (Market Access, HEOR, Medical Affairs, EU-HTA Team).
  • Ensure quality and clarity of generated outputs.
  • Monitor methodological developments from IQWiG, G-BA, and HTA bodies.

Skills

SAS programming
R programming
HTA/AMNOG/HEOR
CDISC SDTM/ADaM
Statistical methods
Process automation
German language
English language

Education

Master's or PhD in biostatistics, data science, or related field

Tools

CDISC SDTM/ADaM

Job description

IQVIA is seeking a Programmer (SAS & R) with German to support health technology assessment activities in Germany while based in Spain. The role combines statistical programming, data analysis, and collaboration with Market Access and HEOR teams.

Ideal candidates hold a Master or PhD in biostatistics or data science, have 2+ years in SAS, and are fluent in German and English. Experience with CDISC SDTM/ADaM and clinical trial methodology is highly valued.

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