Principal Statistician, Global Rare Diseases

12 ore fa

Parma, Emilia-Romagna, Italia Chiesi Tempo pieno
Overview

In this role you will provide statistical leadership across drug development programs, guiding study design, analysis, and regulatory submissions. You will collaborate with cross-functional teams to ensure rigorous, fit-for-purpose data interpretation and communicate complex results to non-statistical stakeholders. You will oversee statistical activities in clinical trials, liaising with CROs and regulatory agencies. This is an impact-driven position within Chiesi’s R&D, contributing to high-quality submissions and scientific publications.

Retribuzione / Benefits
  • annual bonus
  • pension
  • private medical insurance
  • wellbeing programme
  • flexible benefits programme
  • remote work options
Responsabilità
  • Provide statistical input to Drug Development Programs
  • Lead study design, sample size calculations, and randomization plans
  • Oversee analyses, reporting, and interpretation of trial data
  • Manage statistical activities for clinical trials and interactions with CROs
  • Review abstracts, posters, presentations, and manuscripts
  • Contribute to Clinical Study Reports and regulatory documents
  • Prepare and manage Statistical Analysis Plans and derived datasets
  • Lead Data Review Meeting and supervise statistical programmers
  • Ensure compliance with GCP, GCDMP, CFR 21.11
  • Participate in regulatory audits/inspections and agency meetings
  • Provide knowledge-sharing and mentorship within the team
  • Support regulatory submissions via eCTD and respond to queries from authorities
  • Define and implement SOPs related to statistical activities
  • Assist in recruitment initiatives and uphold safety policies
Requisiti fondamentali
  • PhD or MSc degree in Statistics
  • >10 years of experience in statistics for clinical trials in pharma or CROs
  • Strong knowledge of drug development process and regulatory requirements (ICH/GCP)
  • Expertise in statistical methods for drug development
  • Ability to provide statistical leadership to cross-functional teams
  • Strong communication skills for non-statistical audiences
  • Proficiency in CDISC data standards
  • SAS System proficiency
  • Knowledge of sample size calculation tools
  • English fluent
  • leadership and team collaboration
  • clear communication of complex ideas
  • problem-solving and analytical thinking
  • SAS System
  • CDISC data standards
  • statistical methodologies for clinical trials