Design, develop, and implement high-quality real-world data (RWD) studies.
Work closely with the client team to identify research questions, appropriate methodology and clear deliverables.
Write scientific study proposals and reports.
Prepare datasets for downstream analysis, implement statistical methods, and interpret study results.
Prepare and present key research insights and findings using written reports and visual representatives to colleagues and clients.
Work in a multidisciplinary team.
Qualifications:
Relevant post-graduate qualification (MSc/PhD in Epidemiology, Psychiatry, or related discipline)
3+ years of experience programming experience with R and/or Python
Experience in epidemiological and medical statistics methods employed in observational research (experience in psychometrics, health economics is a plus)
Experience of data cleaning and wrangling
Working knowledge of SQL and version control (git preferred).
Familiarity with a client-facing, healthcare-related environment is a plus (pharmaceutical companies, MedTech companies, consultancies)
Experience in scientific writing and project management
