Pharmacoepidemiologist m/f/d, Basel-Stadt This role focuses on Real World Data (RWD) studies and requires a candidate proficient in epidemiological methods and data programming (specifically R/Python/SQL) to generate crucial safety evidence.
Key responsibilities include the independent analysis of secondary data (claims, EHR, registries), developing robust research protocols and statistical analysis plans utilizing appropriate methodologies like regression or propensity score matching. The perfect candidate will also collaborate with clinical safety scientists to apply rigorous quantitative approaches, design and document R programs, and translate complex findings into informative data visualizations and reports.
Duration: 9 months/possible extension
Responsibilities: - The independent analyses of secondary data, including insurance claims, electronic medical record, patient survey, and disease registry.
- Supporting the development of research protocols and statistical analysis plans.
- The recommendation and implementation of appropriate analytical methodology (e.g., propensity score matching, regression analysis etc.) for real world data (RWD) studies.
- The design, development, testing, implementation, validation, documentation, and the maintenance of effective and efficient R programs for reporting observational database studies.In addition, the evaluation of new data sources and the study design for observational studies focusing on safety endpoints.
- You will also be required to represent your function in internal and/or external cross- functional, strategic planning and/or other programs to innovate our use of methodologies or technology.
- The oversight of scientific content of literature reviews, summaries of scientific literature, applying the findings and evidence-based best practices to the design of surveillance and epidemiological investigations, and the development of program recommendations.
- In collaboration with Safety Data Scientists, you will act as a strategic partner for clinical safety scientists to ensure rigorous quantitative approaches are available for molecule safety strategies.
Requirements: - University degree in Public Health, Epidemiology, Outcomes Research, Health Economics.
- At least 5 years applied working experience with relational real world databases, designing and execution of non-interventional RWD studies.
- A good knowledge of epidemiological study designs and in selecting appropriate pharmacoepidemiologic strategies for molecule plans.
- The ability to analyse data including Clinical Trials, Biomarker and insurance Claims, disease registries, surveys and EHR databases.
- Familiarity with medical terminology and dictionaries (MedDRA, SNOMED, ICD 10, CPT, HCPCS).
- The ability to design, develop, test, document R/Python/SQL programs for observational database studies.
- Be able to transform data and analysis into informative data visualisations, reports and interactive dashboards using (R Shiny, RMarkdown, Python).
- The ability to develop research protocols, statistical analysis plans and recommend analytical methodologies (e.g regression analysis).
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