Are you ready to turn precision into progress and play a key role in shaping the future of pharmaceutical innovation?
Proclinical is seeking a Pharmacoepidemiologist to support epidemiology activities within a global safety and risk management setting. This role focuses on Real World Data (RWD) studies, requiring expertise in epidemiological methods and data programming. You will design, conduct, analyze, and report on epidemiological studies using real-world data sources such as claims, electronic health records (EHR), registries, or literature. This position also involves collaboration with cross-functional teams to provide quantitative insights for safety strategies.
Please note that to be considered for this role you must have the right to work in this location or hold an EU passport.
Responsibilities:
- Independently analyze secondary data, including insurance claims, EHR, patient surveys, and disease registries.
- Develop research protocols and statistical analysis plans for RWD studies.
- Recommend and implement appropriate analytical methodologies, such as regression analysis or propensity score matching.
- Design, develop, test, and maintain R, Python, and SQL programs for observational database studies.
- Evaluate new data sources and design observational studies focusing on safety endpoints.
- Represent the function in internal and external strategic planning initiatives to innovate methodologies or technologies.
- Oversee scientific content for literature reviews and apply findings to surveillance and epidemiological investigations.
- Collaborate with clinical safety scientists to ensure rigorous quantitative approaches are integrated into safety strategies.
Key Skills and Requirements:
- Degree in Public Health, Epidemiology, Outcomes Research, Health Economics, or a related field; MSc or PhD in Epidemiology preferred.
- Applied experience with relational real-world databases and non-interventional RWD studies.
- Strong knowledge of epidemiological study designs and pharmacoepidemiologic strategies.
- Proficiency in analyzing data from clinical trials, biomarkers, claims, registries, surveys, and EHR databases.
- Familiarity with medical terminology and dictionaries (e.g., MedDRA, SNOMED, ICD-10).
- Advanced skills in R, Python, and SQL programming for observational studies.
- Ability to create data visualizations, reports, and interactive dashboards using tools like R Shiny and RMarkdown.
- Experience in developing research protocols and statistical analysis plans.
If you are having difficulty in applying or if you have any questions, please contact Joshua Bye at j.bye@proclinical.com.
If you are interested in applying to this exciting opportunity, then please click 'Apply' or to speak to one of our specialists please request a call back at the top of this page.
Proclinical is a leading life sciences recruiter focused on finding exceptional people and matching them with the finest positions across the globe. Proclinical is acting as an Employment Agency in relation to this vacancy.
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