Clinical Development
PK/PD Statistical Programmer (m/w/d) - homebased
Resumé
The role creates, validates, and quality-checks R-based NONMEM-ready PK/PD datasets for clinical data and regulatory deliverables, while collaborating with cross-functional teams and improving pharmacometrics workflows.
Læst af AI
Kort om jobbet
Employment type: Full time; Home-based. Requisition: R1532189. - We are seeking an experienced PK/PD Statistical Programmer with strong experience in R programming, PK/PD datasets, and NONMEM dataset creation. This role supports Pharmacometrics by producing high‑quality, compliant datasets for modeling and analysis, ensuring accuracy from early (unclean) through post‑lock clinical data.
The ideal candidate brings deep technical expertise, strong problem‑solving skills, and a solid understanding of PK/PD principles. Key Responsibilities - Program, validate, and deliver NONMEM‑ready PK/PD datasets based on SDTM/ADaM standards using advanced R programming skills. - Create high‑quality PK/PD datasets for both pre‑lock and post‑lock clinical data.
- Independently execute programming tasks of medium to high complexity with excellent accuracy and timeliness. - Critically review data, identify inconsistencies or gaps, and propose solutions to improve dataset quality and programming efficiency. - Perform quality control (QC) of NONMEM datasets, including those produced by external partners.
- Support preparation of deliverables for regulatory submissions following internal Pharmacometrics guidelines. - Conduct QC of customized R packages used for pharmacometrics workflows; enhance or build automated test suites where needed1 …
Dette er et forkortet uddrag af det offentlige jobopslag. Følg det originale opslag for at se den fulde og autoritative beskrivelse.