Senior Statistical Programmer
Pubblicato il 01-10-2026 - Warman O'Brien in Pavia
Senior / Principal Biostatistician Statistical Programmer / Technology Lead – Global Pharma | Italy (Hybrid)
Aumenti le sue possibilità di arrivare alla fase del colloquio leggendo la descrizione completa del lavoro e candidandosi tempestivamente.
Shape the Future of Drug Development
Are you an experienced statistical programmer & technical lead, ready to take your expertise to the next level? Our client, a leading international pharmaceutical company, is looking for a Principal Biostatistician Statistical Programmer / Technology Lead to join their dynamic and collaborative team. The company are based in Italy, working hybrid (4 days to be based in office in Milan).
This position would require:
- Project & Team Leadership: Directs all programming activities for clinical trials (Phase I–IV) or large global projects, coordinating work across internal teams and external contractors.
- Regulatory Compliance: Ensures clinical data, analysis datasets, and reporting outputs strictly conform to global standards like CDISC standards (SDTM and ADaM)
- Technical Strategy & Innovation:
Drives the integration of new technologies, automation tools, and programming languages (such as transitioning from traditional SAS to hybrid environments using R or Python and AI tools).
- Cross-Functional Collaboration: Partners closely with biostatisticians, data managers, and medical writers to design statistical analysis plans and resolve complex data issues.
- Resource & Quality Management: Allocates team workloads, sets project timelines, and mentors junior or senior programmers to ensure high technical standards.
Why Join This Team?
- Work with a top-tier pharmaceutical company with a global footprint
- Be part of a collaborative, science-driven culture
- Influence projects from early development through to regulatory approval
- Enjoy flexibility with a hybrid / remote work model based in Italy
- Make a tangible impact on the future of medicine – especially in rare and complex diseases