HTA Data Programmer (SAS & R) – German Market Access (Remote)

Fae Burgos; Burgos; Hybrid; EUR 60,000 - 90,000; Full time

Job summary

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

You will develop German AMNOG dossiers, perform analyses of clinical trial data, and collaborate with cross-functional teams to ensure high-quality, reproducible outputs while

Qualifications

• Master's degree or PhD in biostatistics, data science, or related field.
• Experience in HTA, AMNOG, HEOR, or Market Access preferred.
• Solid understanding of clinical study designs, endpoints, and statistical principles.
• Familiarity with German AMNOG process, IQWiG methodology, or G-BA procedures is an advantage.

Responsibilities

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

Skills

SAS programming

R programming

CDISC SDTM/ADaM

Statistical methods

Data analysis

Process automation

Education

Master's degree or PhD in biostatistics, data science

Tools

SAS software

R software

Job description

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

You will develop German AMNOG dossiers, perform analyses of clinical trial data, and collaborate with cross-functional teams to ensure high-quality, reproducible outputs while