HTA Programmer (SAS & R) - Remote/Hybrid, Germany

Cet; Barcelona; Híbrido; EUR 45 000 - 65 000; Tempo integral

Resumo da oferta

IQVIA in Madrid, Spain, seeks a Programmer (SAS & R) with German for remote/hybrid work, to support AMNOG and market access activities in Germany. The role targets biostatisticians or data scientists with substantial statistical programming experience.

Ideal candidates have Master’s or PhD in biostatistics or data science, familiarity with CDISC SDTM/ADaM, and a strong interest in applying clinical evidence to reimbursement decisions and HEOR outputs.

Qualificações

• Master's degree or PhD in biostatistics, data science, or a related field.
• Initial experience in HTA, AMNOG, HEOR, or Market Access 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 or G-BA is advantageous.

Responsabilidades

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

Conhecimentos

SAS programming

R programming

biostatistics

data science

statistical programming

clinical data analysis

CDISC SDTM/ADaM

Formação académica

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

Ferramentas

SAS

R

CDISC SDTM/ADaM

Descrição da oferta de emprego

IQVIA in Madrid, Spain, seeks a Programmer (SAS & R) with German for remote/hybrid work, to support AMNOG and market access activities in Germany. The role targets biostatisticians or data scientists with substantial statistical programming experience.

Ideal candidates have Master’s or PhD in biostatistics or data science, familiarity with CDISC SDTM/ADaM, and a strong interest in applying clinical evidence to reimbursement decisions and HEOR outputs.