HTA Data Scientist (SAS/R) for AMNOG & Market Access

National City Chamber Of Commerce Nccc

Alicante

Hybrid

EUR 55,000 - 75,000

Full time

39 hours ago
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Job summary

IQVIA is seeking a Programmer (SAS & R) with German for a Spain-based role (remote/hybrid) to support health technology assessment and market access activities in Germany.

The ideal candidate is a biostatistician or data scientist with strong statistical programming skills and a keen interest in applying clinical evidence to reimbursement decisions. A substantial portion involves programming and data analysis.

Qualifications

  • Master's degree or PhD in biostatistics, data science, or related field.
  • Initial experience in HTA, AMNOG, HEOR, or Market Access (industry, consultancy, or research institute preferred).
  • Solid understanding of clinical study designs, endpoints, and statistical principles.
  • Familiarity with clinical study data and industry standards (CDISC SDTM/ADaM).
  • Familiarity with the German AMNOG process, IQWiG methodology, or G-BA procedures is an advantage.

Responsibilities

  • Contribute to German AMNOG dossiers with programming of statistical analyses for Module 4.
  • Analyze clinical trial data including efficacy, safety, endpoints, and subgroup analyses.
  • Perform meta-analyses and indirect treatment comparisons.
  • Automate and standardize analysis workflows for efficiency and reproducibility.
  • Collaborate with Market Access, HEOR, Medical Affairs, and EU-HTA teams.

Skills

SAS programming
R programming
German language
English language
Statistical analysis
Data analysis
Process automation

Education

Master's degree in biostatistics or data science

Tools

CDISC SDTM/ADaM

Job description

IQVIA is seeking a Programmer (SAS & R) with German for a Spain-based role (remote/hybrid) to support health technology assessment and market access activities in Germany.

The ideal candidate is a biostatistician or data scientist with strong statistical programming skills and a keen interest in applying clinical evidence to reimbursement decisions. A substantial portion involves programming and data analysis.

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