Pharmacoepidemiologist KFR

We are currently looking for a Pharmacoepidemiologist for a 9-month contract (maternity cover, with potential possibility for extension) based in Basel, Switzerland.

2 days a week home office possible (after 2-3 months onboarding)

• 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.
• Thus, 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.

• Relevant working/residency permit or Swiss/EU-Citizenship required
• You hold a university degree in Public Health, Epidemiology, Outcomes Research, Health Economics or a relevant scientific field and should also hold a MSc or PhD in Epidemiology with a specialisation on data analysis. (Exceptionally qualified applicants with many years of relevant experience but without a Master’s degree are also encouraged to apply.)
• At least 2 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.
• A 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 regression analysis).

• Associate

• Temporary

• Science and Analyst

• Pharmaceutical Manufacturing and Biotechnology Research