Pharmacoepidemiologist (m/f/d) - BS
vor 2 Wochen
--- **General Information** **Start Date:** asap - **Latest Start:** February **Planned Duration:** 9-month maternity cover - **Extension:** possible - **Location:** Basel - **Workload:** 100% - **Home Office:** 2 days/week after 2–3 months onboarding - **Travel:** none - **Team Size:** 6 people - **Template Used:** CH_Real World Data Scientist_LSW_CHF_RCM_CO - **Department:** PVSD – Safety Data Retrieval & Reporting (TLSCA) - **Working Hours:** standard - **Access to Roche products / GVP-relevant environment:** yes --- **Tasks & Responsibilities** Conduct independent analyses of secondary data such as insurance claims, electronic health records, patient surveys and disease registries. - Support the creation of research protocols and statistical analysis plans, including the recommendation and application of appropriate RWD methodologies (e.g., regression modelling, propensity score techniques). - Design, build, validate, maintain and document efficient R programs for observational database research; assess new data sources and define study designs for safety-related observational studies. - Represent the function in internal or external cross-functional collaborations, strategic planning groups or innovation initiatives related to methodological or technological advancements. - Oversee the scientific quality of literature reviews, evidence summaries and application of best practices to epidemiological design and surveillance strategies. - Serve as a strategic partner to Safety Data Scientists and clinical safety teams to ensure robust quantitative approaches are integrated into molecule safety strategies.
--- **Must Haves** University degree in Public Health, Epidemiology, Outcomes Research, Health Economics or a related field; ideally MSc or PhD in Epidemiology with focus on data analysis. Exceptionally experienced candidates without a Master's degree may also be considered. - At least 2 years of hands-on experience with RWD relational databases and conducting non-interventional RWD studies. - Strong understanding of epidemiological study designs and ability to select appropriate pharmacoepidemiologic approaches. - Experience analysing Clinical Trial data, Biomarkers, Claims datasets, Registries, Surveys and EHR sources. - Familiarity with medical terminology and coding systems (MedDRA, SNOMED, ICD-10, CPT, HCPCS). - Skilled in creating, testing and documenting R/Python/SQL programs for observational study workflows. - Ability to convert data and analytical output into compelling visualisations, reports or interactive dashboards (R Shiny, RMarkdown, Python). - Experience developing research protocols, statistical analysis plans and recommending suitable analytical methodologies. **** **Dissatisfied, unchallenged, or eager to discover something new?** What are you waiting for? Apply now, unlock your potential, and aim for greater satisfaction in your career. I'm here to support you with my expertise and guide you through the entire application process. I look forward to meeting you and am excited to hear your story **MANPOWER AG – Together, we shape your future**
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