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

Macrosad; Jaén; Híbrido; EUR 55.000 - 75.000; Jornada completa

Descripción de la vacante

IQVIA is seeking a Programmer (SAS & R) with German for Spain-based remote/hybrid work. The role focuses on statistical programming to support German health technology assessment (AMNOG) and market access activities, ideal for biostatisticians or data scientists with a passion for translating clinical data into reimbursement decisions.

The candidate should have a strong SAS background (2+ years) with R as an advantage, a Master’s or PhD in biostatistics or data science, and fluency in German and

Formación

• 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 and statistical principles.
• Familiarity with German AMNOG process or IQWiG/G-BA procedures is an advantage.
• Experience in clinical data analysis and SDTM/ADaM datasets.

Responsabilidades

• Contribute to German AMNOG dossiers with a focus on SAS/R analyses for Module 4.
• Perform analyses of clinical trial data, including efficacy, safety, and endpoints.
• Conduct meta-analyses and indirect treatment comparisons; support interpretation.
• Automate and standardize analysis workflows for efficiency and reproducibility.
• Collaborate with Market Access, HEOR, Medical Affairs, and EU-HTA teams.
• Ensure scientific quality and clarity of generated outcomes; monitor HTA developments.

Conocimientos

SAS programming

R programming

German language

English language

Statistical analysis

Process automation

Educación

Master's degree in biostatistics or data science

PhD in biostatistics or related field

Herramientas

CDISC SDTM/ADaM

SAS

R

Descripción del empleo

IQVIA is seeking a Programmer (SAS & R) with German for Spain-based remote/hybrid work. The role focuses on statistical programming to support German health technology assessment (AMNOG) and market access activities, ideal for biostatisticians or data scientists with a passion for translating clinical data into reimbursement decisions.

The candidate should have a strong SAS background (2+ years) with R as an advantage, a Master’s or PhD in biostatistics or data science, and fluency in German and