The role serves as a primary contributor to the design, analysis, and reporting of observational clinical studies including registries and secondary database studies
Job Summary
The role serves as a primary contributor to the design, analysis, and reporting of observational clinical studies including registries and secondary database studies.
Incumbents are responsible for ensuring appropriate statistical methodology is applied to minimize confounding and biases when turning real world data into evidence.
The position requires driving the agenda for generating Real World Evidence from Real World Data while representing Biometrics in HEOR studies and global value dossiers.
Matching Summary
The role serves as a primary contributor to the design, analysis, and reporting of observational clinical studies including registries and secondary database studies.
Skills & Requirements
Must-have
Real World Evidence generation expertise
Observational study design and analysis
Statistical methodology for clinical trials
SAS and/or R programming skills
CRO management experience
Regulatory compliance knowledge
Nice-to-have
HEOR and pharmacoeconomic model knowledge
Behavioral science and adherence models
Digital means and telehealth experience
Target Trial Emulation techniques
G-computation and E-values expertise
Key Requirements
PhD or MSc in (Bio)Statistics, Mathematics, Epidemiology or Health economics
At least 5 years in pharmaceutical environment
Demonstrable expertise in observational study methodology
Additional training in epidemiology if degree is in Statistics
Additional training in statistics if degree is in Epidemiology