Full-Stack Software/Data Engineer

EinleitungstextNEXUS is a leading provider of innovative solutions in the field of personalized health technology. We are looking for a talented and experienced Full-Stack Software/Data Engineer to join our dynamic team. In this role, you are responsible for the conception and implementation of data-centric software solutions incorporating modern technologies. You support research by providing easy access to health data and make a valuable contribution to the further development of the healthcare system in Switzerland.Join our team and make a significant impact on the field of personalized healthcare by developing state-of-the-art applications that empower our users and drive medical advancements. Apply now and be part of our exciting journey towards revolutionizing healthcare through technology.ProjekthintergrundIn this role, you will work on the LOOP Zurich Biomedical Informatics Platform (LOOP BMIP), which gives researchers streamlined access to clinical data. The platform consists of multiple distributed software components running in a high-security processing environment. You will also collaborate regularly with our partners at the participating institutions.Aufgaben-/StellenbeschreibungYou are excited about using data to revolutionize personalized health technology?You have experience with full-stack software engineering?You have experience with the planning and implementation of IT systems?You can process structured and unstructured data and make it available for analysis?You have experience with implementing data-centric software solutions?You understand the security requirements when working with sensitive health data?Yes? We have an exciting challenge for you!Responsibilities:You independently plan, design and implement data-centric full-stack software solutions from database modeling to API structuring to user interface design and implementation, primarily using Postgres, Django REST Framework and Vue.jsYou develop data pipelines to extract, transform, store, and make data available and interoperableYou manage and maintain your solutions on secure platforms with a high level of automationYou manage your projects independently and collaborate with various stakeholdersYou collaborate with cross-functional project teams to understand data requirements and provide guidance on data structure, availability and usageIhr ProfilEssentials:Bachelor's or Master's degree in Computer Science, Data Science, or a related fieldProven experience in designing and implementing data-centric full-stack software solutionsExperience in developing web applications using frameworks such as Django REST Framework, Vue.js or similarExperience in working with Linux/Unix operating systems and writing scripts (e.g. bash, python)In-depth knowledge of container technologies such as Docker or similarFluent in English, both verbal and writtenIn addition to the essentials we are looking for:Proactive and self-motivated, with a passion for staying updated on emerging technologies and industry trendsStrong problem-solving and analytical skills, with the ability to translate business needs into technical solutionsExcellent communication and collaboration skills to work effectively with cross-functional teamsKnowledge of GermanWir bietenTraining opportunitiesFlexible working hoursPossibility for part-time work and home officeMotivated team aiming to work togetherDiverse tasksSupport cutting edge research in health careNeugierig? Sind wir auch.We look forward to receiving your online application with the following documents:Cover letterCVReference letters/work certificatesRelevant certificates and diplomas Further information about the NEXUS Personalized Health can be found on our Website. Questions regarding the position should be directed to Aleksandar Bobic, bobic@nexus.ethz.ch (no applications).Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered.We would like to point out that the pre-selection is carried out by the responsible recruiters and not by artificial intelligence.