HTA Programmer (SAS/R) for German AMNOG - Remote

Macrosad; Jaén; Híbrido; EUR 60.000 - 90.000; Jornada completa

Descripción de la vacante

IQVIA in Madrid, Spain, seeks a Programmer (SAS & R) with German to support AMNOG HTA and market access projects. The role targets biostatisticians or data scientists with strong statistical programming skills and an interest in translating clinical evidence into reimbursement decisions.

You will develop analyses for Module 4, perform trial data analyses, meta-analyses, and contribute to automated workflows while collaborating with Market Access, HEOR, Medical Affairs, and EU-HTA teams.

Formación

• Master’s degree or PhD in biostatistics, data science, or a 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.

Responsabilidades

• Contribute to the development of German AMNOG dossiers, with a focus on programming of statistical analyses for Module 4.
• Perform scientific assessment and analysis of clinical trial data, including efficacy, safety, and patient-relevant endpoints.
• Perform meta-analyses and indirect treatment comparisons and support interpretation of statistical outputs.
• Contribute to automation and standardization of analysis workflows to ensure efficiency and reproducibility.
• Collaborate with cross functional teams (Market Access, HEOR, Medical Affairs, EU-HTA Team).
• Ensure scientific quality, clarity, and consistency of generated outcomes.
• Monitor and interpret methodological developments from IQWiG, G BA, and relevant HTA bodies.

Conocimientos

SAS programming

R programming

CDISC SDTM/ADaM

Biostatistics

German/English fluency

Educación

Master's degree or PhD in biostatistics or related field

Herramientas

SAS

R

CDISC SDTM/ADaM

Descripción del empleo

IQVIA in Madrid, Spain, seeks a Programmer (SAS & R) with German to support AMNOG HTA and market access projects. The role targets biostatisticians or data scientists with strong statistical programming skills and an interest in translating clinical evidence into reimbursement decisions.

You will develop analyses for Module 4, perform trial data analyses, meta-analyses, and contribute to automated workflows while collaborating with Market Access, HEOR, Medical Affairs, and EU-HTA teams.