Principal Statistician (Pharmacokinetics)
- Pubblicato il 17/06/2026
- Trento (TN)
- Da definire
- 0
Descrizione:
Experteer Overview In this role you will lead statistical activities for global clinical trials, collaborating with international teams of statisticians, programmers and data managers. You will design and review analyses, SP/ADA procedures, and QA statistical deliverables while guiding junior team members. You’ll engage in audits, SOP/QSD contributions, and cross-functional communication to support high-quality clinical research. This position offers impact in shaping analysis strategies for trials and profiles your leadership in a dynamic CRO environment.
Retribuzione / Benefits
Act as primary communication liaison for project teams, clients, vendors, and internal statisticians on statistical questions
Perform statistical analyses for clinical trials, including interim, final, DSMB/DMC, and PK analyses
Develop and review protocols, SAPs, and analysis datasets per CDISC ADaM and project documents
Review statistical deliverables such as tables, figures, listings, and analysis datasets
Lead departmental induction and project-specific training for statisticians and SAS programmers
Prepare for and participate in internal and external study audits; follow-up on audits
Contribute to SOPs and Quality System Documents for Biostatistics activities
Liaise with Data Management on statistical data issues
Participate in bid defenses and project kick-off meetings
Lead teams of SAS programmers and statisticians at the project level
Responsabilità
MSc in Statistics or equivalent
Full working proficiency in English
Expert knowledge of statistical principles, methods, and standards in clinical research
Expert knowledge of SAS programming
Expert knowledge of CDISC ADaM standard
Expert knowledge of pharmacokinetics in clinical research, including NCL and population PK analysis
Expert knowledge of Phoenix WinNonlin and NLME
Expert knowledge of relevant regulations (FDA, EMA, ICH)
Ability to apply advanced statistical techniques to support clinical studies and interpret complex results
Ability to consult with clinical investigators and determine analysis strategies
Strong presentation and communication skills
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