In A Nutshell
Build a QA/QC and technical assurance framework from first principles–anchored in strong data architecture and process–to enable the delivery of top-tier, defensible analytical products.
Responsibilities
- Provide senior technical oversight and quality assurance across complex or high‑risk analytical projects, acting as final technical reviewer where required.
- Lead the development and continuous improvement of ICHP’s real‑world evidence standards, including analytical pipelines, data engineering, reproducibility and QA/QC.
- Provide hands‑on technical input to priority projects, advising on feasibility, data preparation, linkage approaches, and reproducible delivery.
- Ensure all analytical work complies with Five Safes principles, governance and disclosure control requirements.
- Act as a visible technical leader, sharing best practice, supporting capability building and contributing to a culture of continuous improvement.
Skillset
- Advanced capability in R and/or Python, with working knowledge of the other.
- Significant experience delivering complex analytical work using large administrative or longitudinal datasets, including reproducible, version‑controlled pipelines.
- Strong experience providing technical leadership, assurance and governance‑aware delivery in healthcare or other regulated environments.
- Experience setting and upholding standards for data engineering, documentation, QA/QC and safe analytical outputs.