Remote HTA Programmer - German SAS/R Data Scientist

Elpuertodesantamaria; San Juan de Alicante; Híbrido; EUR 55.000 - 75.000; Jornada completa

Descripción de la vacante

IQVIA is seeking a highly skilled HTA programmer to support German AMNOG dossiers with a strong emphasis on statistical analyses for Module 4. The role targets biostatisticians or data scientists with experience in HTA, HEOR, or market access and a passion for translating clinical data into evidence for reimbursement decisions.

The position involves statistical programming, data analysis, and close collaboration with cross-functional teams to ensure rigorous, auditable results and adherence to

Formación

• Master's degree or PhD in biostatistics, data science, or a related field is required.
• Initial HTA/AMNOG/HEOR or Market Access experience is preferred.
• Solid understanding of clinical study designs and endpoints.

Responsabilidades

• Contribute to the development of German AMNOG dossiers with focus on statistical analyses for Module 4.
• Perform statistical analyses on clinical trial data including efficacy, safety, and patient-relevant endpoints.
• Conduct meta-analyses and indirect treatment comparisons to support interpretation of outputs.
• 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 methodological developments from IQWiG, G-BA and other HTA bodies.

Conocimientos

SAS programming

R programming

Statistical analysis

Process automation

Educación

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

Herramientas

CDISC SDTM/ADaM

IQWiG/G-BA knowledge

Descripción del empleo

IQVIA is seeking a highly skilled HTA programmer to support German AMNOG dossiers with a strong emphasis on statistical analyses for Module 4. The role targets biostatisticians or data scientists with experience in HTA, HEOR, or market access and a passion for translating clinical data into evidence for reimbursement decisions.

The position involves statistical programming, data analysis, and close collaboration with cross-functional teams to ensure rigorous, auditable results and adherence to