Roche Switzerland bridges the gap between pharmaceuticals and diagnostics. Important research and development functions are located here. For our long-term client, F. Hoffmann-La Roche AG in Basel, we are looking for aPharmacoepidemiologistBackground:A healthier future. It’s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That’s what makes Roche. As a Pharmacoepidemiologist, you will be responsible for supporting the epidemiology activities performed in Roche’s Global Safety and Risk Management organisation.You will personally be involved in design, conduct, analysis, interpretation and report of simple and complex epidemiological studies based on Real word data sources (CLAIMS or EHR), registry and/or literature sources and will have scientific oversight and management of non-interventional studies if outsourced and initiated by Safety and Risk Management.Tasks & 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 addition, the evaluation of new data sources and the study design forobservational studies focusing on safety endpointsYou 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 technologyThe 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.Must Haves: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 plansThe ability to analyse data including Clinical Trials, Biomarker and insurance Claims, disease registries, surveys and EHR databasesA 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 studiesBe 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)What you will be offered:An opportunity to work in one of the world's most important pharmaceutical companiesModern campus with plenty of green spaces and meeting areasCentral location in BaselVaried job profileFurther training opportunities through temptrainingWorking in a dynamic and motivated teamIf you are interested please send your application documents addressed to Ms Diana Afonso.Basel-Stadt Solothurn Aargau Pharma Python MedDRA EHR SNOMED CPT Epidemology jidcd0e1d0a jit1148a jiy25a