Provide expertise for statistical analyses of health outcomes studies with patients, caregivers, and clinicians
Development of statistical and psychometric analysis plans
Formal experimental design of choice experiments (such as discrete choice experiments, best-worst scaling, thresholding, and swing weighting)
Statistical analysis, including econometric analysis of choice data (e.g. from discrete choice experiments) and psychometric analyses (classical and modern), using R
Writing statistical analysis sections to study protocols and reports
Support efficient study operations by developing scripts to automate manual research tasks
Conduct literature reviews, protocol development, and patient interviews
Survey implementation and testing
Qualitative coding and analysis
Writing study reports and scientific publications
Requirements
Master’s degree in a relevant scientific field (e.g., statistics, (health) economics, epidemiology, computer science, or management science) with three years of relevant experience; or Doctoral degree in a relevant scientific field with one year of relevant experience
experience conducting statistical analyses of patient preference, clinical outcome assessment, or other health outcomes data in R
familiarity with data management and visualisation using the tidyverse packages
fluency in using Microsoft Office products
fluency in English
French, German, Spanish, or Italian is considered an advantage