Asistente de Análisis y Programación (SAS/R) – Remoto

Fábrica De Papel De Regalo Y Bolsas De Papel; Sevilla; Hybrid; EUR 45,000 - 65,000; Full time

Job summary

IQVIA seeks a Programmer (SAS & R) with German for Spain-based remote/hybrid work. The role supports health technology assessment (AMNOG) and market access by programming analyses for Module 4 and analyzing clinical data for efficacy, safety, and endpoints.

The ideal candidate has a biostatistics/data science background with HTA/Market Access exposure and strong skills in SAS, R, and CDISC SDTM/ADaM standards, as well as fluent German and English.

Qualifications

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

Responsibilities

• Contribute to development of German AMNOG dossiers with a focus on programming analyses for Module 4.
• Analyze clinical trial data for efficacy, safety, endpoints, and subgroups.
• Perform meta-analyses and indirect comparisons; 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 outcomes.
• Monitor methodological developments from IQWiG, GBA, and HTA bodies.

Skills

Analytical skills

Attention to detail

Data translation

Statistics / data sciences / scripting

Process automation

SAS programming

R programming

CDISC SDTM / ADaM

Strong communication

German and English fluent

Education

Master's degree or PhD in biostatistics / data science

HTA, AMNOG, HEOR or Market Access experience

Tools

SAS

R

Job description

IQVIA seeks a Programmer (SAS & R) with German for Spain-based remote/hybrid work. The role supports health technology assessment (AMNOG) and market access by programming analyses for Module 4 and analyzing clinical data for efficacy, safety, and endpoints.

The ideal candidate has a biostatistics/data science background with HTA/Market Access exposure and strong skills in SAS, R, and CDISC SDTM/ADaM standards, as well as fluent German and English.