The University of Zurich, Switzerland's largest university, offers a range of attractive positions in various subject areas and professional fields. With around 10,000 employees and currently 12 professional apprenticeship streams the University offers an inspiring working environment on cutting-edge research and top-class education. Put your talent and skills to work with us. Find out more about UZH as an employer!Your responsibilitiesAnalysis of single-cell and spatial transcriptomic datasetsIntegration of molecular, spatial, histological, and clinical dataEstablishment and management of large-scale clinical research databases, including data harmonization, quality control, and longitudinal data integrationStatistical analysis of clinical cohorts, including identification of factors associated with disease progression and treatment responseDevelopment and application of machine-learning and predictive modelling approachesIntegration of molecular and clinical data to identify biomarkers and disease-associated regulatory programsDevelopment of reproducible computational workflows and contribution to experimental and clinical study designPresentation and publication of results in collaboration with molecular biologists, nephrologists, and cliniciansYour profileWe are looking for a scientist with a PhD or equivalent degree in computational biology, bioinformatics, biostatistics, statistics, data science, genomics or a related field.You should have:Strong programming skills in R and/or PythonExperience with high-dimensional biological and/or clinical dataExperience with single-cell, spatial transcriptomics, clinical data science or related fieldsAn interest in machine learning and predictive modellingExperience with database design or large-scale clinical datasets is an advantageStrong scientific curiosity and the ability to work independently and collaborativelyWhat we offerThis position offers the opportunity to work at the interface of developmental biology, functional genomics, nephrology, clinical research, and data science, using datasets spanning in vitro and in vivo models, human kidney biopsies, and longitudinal clinical cohorts. You will have the opportunity to develop and lead computational projects and to contribute to research linking molecular mechanisms to human kidney disease and clinical outcomes.Position: 80–100%Location: University of ZurichStarting date: earliest possible start dateContract: 1 year #J-18808-Ljbffr
Computational Biologist / Data Scientist 80 - 100 % Arbeitgeber: University of Zurich
Die Universität Zürich ist ein hervorragender Arbeitgeber, der seinen Mitarbeitenden ein inspirierendes Arbeitsumfeld in der Spitzenforschung und Bildung bietet. Mit vielfältigen Entwicklungsmöglichkeiten und einem starken Fokus auf Teamarbeit und Innovation fördert die UZH nicht nur die berufliche, sondern auch die persönliche Entfaltung ihrer Angestellten. Zudem profitieren Sie von einer dynamischen und unterstützenden Kultur, die den Austausch von Ideen und die Zusammenarbeit über Fachgrenzen hinweg schätzt.
