R Programming Lead (Statistical Programming)

IQVIA

Amsterdam

2 days ago

Amsterdam

2 days ago

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R Programming Lead (Statistical Programming)

R Programming Lead position with IQVIA in Amsterdam, Netherlands, remote. Requires strong R programming expertise for clinical trial data analysis, R package development, and R-Shiny applications. Must have CRO or pharmaceutical industry experience.

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Remote

Full-time

Entry Level

R-Shiny

Salary

Not specified

Work Location

Amsterdam, North Holland, Netherlands, NL

Work Model

Remote

Employment Type

Full-time

Experience Level

Not Applicable

Core Qualifications

Technical (Must-have)

RR-ShinyADaMCDISCSDTMTLFdefine.xmlReal-World EvidenceClinical trial analysis

Soft Skills

leadershiptrainingcollaborationproblem solving

Key Responsibilities

•Develop internal and external R packages for clinical trial analysis (ADaM, tables, figures, listings).
•Validate R packages.
•Build complex R-Shiny applications (animations, dashboards) to address clinical questions, EU JCA requirements, and decision-making.
•Lead implementation in R and train other Biostatistics team members.
•Conduct statistical programming work of clinical data using R.
•Identify problems and develop global tools that increase the efficiency and capacity of the Statistical Programming group.
•Create and/or validate all safety and efficacy study output requirements (e.g. ADaM, TLFs) consistent with data definitions and specifications and relevant study documentation (e.g. protocol, SAP, aCRF).
•Collaborate with peers and statisticians to ensure the quality and accuracy of clinical data for submission readiness (SDTM, ADaM, tables, figures, listings, define.xml).

R Programming LeadStatistical ProgrammingClinical TrialsR-ShinyADaMCDISCRemoteFull-timeAmsterdamIQVIA

Key Responsibilities

•Develop internal and external R packages for clinical trial analysis (ADaM, tables, figures, listings).

•Validate R packages.

•Build complex R-Shiny applications (animations, dashboards) to address clinical questions, EU JCA requirements, and decision-making.

•Lead implementation in R and train other Biostatistics team members.

•Conduct statistical programming work of clinical data using R.

•Identify problems and develop global tools that increase the efficiency and capacity of the Statistical Programming group.

•Create and/or validate all safety and efficacy study output requirements (e.g. ADaM, TLFs) consistent with data definitions and specifications and relevant study documentation (e.g. protocol, SAP, aCRF).

•Collaborate with peers and statisticians to ensure the quality and accuracy of clinical data for submission readiness (SDTM, ADaM, tables, figures, listings, define.xml).