Remote HTA Programmer: SAS & R for German Market Access

Primor; Alicante; Remote; EUR 40,000 - 70,000; Full time

Job summary

IQVIA is seeking an experienced programmer to support German AMNOG dossiers through statistical analyses in SAS and R. The role focuses on HTA, AMNOG, HEOR and market access, with remote/hybrid work from Spain.

A Master’s or PhD in biostatistics or data science is preferred, along with German and English fluency. The candidate will develop analyses for Module 4, ensure reproducibility, and collaborate with cross-functional teams to deliver high-quality outputs that support reimbursement

Qualifications

• Master's or PhD in biostatistics, data science or related field.
• 2+ years in HTA/AMNOG/HEOR or clinical development is preferred.
• Strong knowledge of clinical study designs, endpoints and statistics.
• Experience with SDTM/ADaM data structures and CDISC standards.

Responsibilities

• Develop statistical analyses for German AMNOG dossiers (Module 4).
• Analyze trial data for efficacy, safety and endpoints with subgroup analyses.
• Perform meta-analyses and indirect comparisons; ensure reproducible workflows.
• Automate analysis workflows and align with cross-functional teams.
• Collaborate with Market Access, HEOR, Medical Affairs and EU-HTA teams.
• Ensure quality and clarity of generated outputs and interpret results.
• Monitor IQWiG, G‑BA methods and HTA developments.

Skills

SAS programming

R programming

Statistical analysis

Clinical data analysis

Process automation

CDISC SDTM/ADaM

Analytical skills

Attention to detail

Education

Master's degree in biostatistics or data science

PhD in biostatistics or data science

Tools

SAS

R

CDISC SDTM/ADaM

Job description

IQVIA is seeking an experienced programmer to support German AMNOG dossiers through statistical analyses in SAS and R. The role focuses on HTA, AMNOG, HEOR and market access, with remote/hybrid work from Spain.

A Master’s or PhD in biostatistics or data science is preferred, along with German and English fluency. The candidate will develop analyses for Module 4, ensure reproducibility, and collaborate with cross-functional teams to deliver high-quality outputs that support reimbursement