Description du poste
L’Institute of Social and Preventive Medicine (ISPM) recherche un expert. Rejoignez une équipe dynamique au cœur de la recherche en santé publique.TâchesCréer et maintenir des rapports standardisés pour l’analyse des données.Développer des tableaux de bord interactifs avec R Shiny pour la visualisation.Collaborer avec des partenaires externes pour des projets de recherche innovants.CompétencesMaster ou PhD en Statistiques, Data Science ou domaines similaires requis.Expérience en programmation statistique et visualisation avec R souhaitée.Maîtrise de l’allemand, français ou italien et de l’anglais requise.Institute of Social and Preventive Medicine (ISPM)Anstellungsbeginn: November or December 2025 (or upon agreement)SwissRDL is a centre of excellence for Medical Registries and Data Linkage and part of the Institute of Social and Preventive Medicine (ISPM), University of Bern. We develop, maintain, support, monitor and analyse medical registries in a range of disciplines relevant to medical research and public health.Join our dynamic team of software developers, data managers, project managers, epidemiologists, and statisticians. By developing reports and statistical applications, you will play a key role in improving the quality of care. This position offers the opportunity to contribute your ideas and help shape the future of our projects with your expertise.The duties and responsibilities of this role include:Create and maintain standardized reports, e.g. benchmark or annual reportsDevelop and maintain dashboards using R ShinyIndependently prepare, validate, monitor, and analyse data from medical registriesSupport team members and external clients in data analysis and interpretationCollaborate and communicate with external partners, including providing methodological inputContribute to final reports, publications, and research projectsQualifications and skills:Master’s degree or PhD (or equivalent) in Statistics, Data Science, Epidemiology, Public Health, Social Sciences or a related field, with a strong empirical and quantitative focusExperience (at least 2-3 years) in applied Data Science, Statistics or Epidemiology, in either a practical or academic settingExperience with real-world health data or registry data is an advantageExperience in statistical programming and data visualization using R and R Shiny. Additional experience with tools such as STATA or Python is an assetBasic understanding of epidemiological concepts and medical data is desirableInterest in innovative approaches such as AI and large language models (LLMs)Fluent in German, French or Italian with very good knowledge of English (team language)Strong service orientation and team playerWe offer:For further information on the position, please contact Mario Morger, Head of SwissRDL, Tel. +41 31 684 68 42 (E-Mail schreiben).Please send your application until June 5th 2025 in one PDF-file to Mirjam Egger,E-Mail schreiben Lire la suite
