Full-Stack Software/Data Engineer 80%-100%

NEXUS 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. Project background In 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. Job description You 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.js You develop data pipelines to extract, transform, store, and make data available and interoperable You manage and maintain your solutions on secure platforms with a high level of automation You manage your projects independently and collaborate with various stakeholders You collaborate with cross-functional project teams to understand data requirements and provide guidance on data structure, availability and usage Profile Essentials Bachelor's or Master's degree in Computer Science, Data Science, or a related field Proven experience in designing and implementing data-centric full-stack software solutions Experience in developing web applications using frameworks such as Django REST Framework, Vue.js or similar Experience in working with Linux/Unix operating systems and writing scripts (e.g. bash, python) In-depth knowledge of container technologies such as Docker or similar Fluent in English, both verbal and written In addition to the essentials we are looking for Proactive and self-motivated, with a passion for staying updated on emerging technologies and industry trends Strong problem-solving and analytical skills, with the ability to translate business needs into technical solutions Excellent communication and collaboration skills to work effectively with cross-functional teams Knowledge of German We offer Training opportunities Flexible working hours Possibility for part-time work and home office Motivated team aiming to work together Diverse tasks Support cutting edge research in health care Working, teaching and research at ETH Zurich We value diversity and sustainability In line with our values, ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our Equal Opportunities and Diversity website to find out how we ensure a fair and open environment that allows everyone to grow and flourish. Sustainability is a core value for us - we are consistently working towards a climate-neutral future. Curious? So are we. Further information about the NEXUS Personalized Health can be found on our Website. Questions regarding the position should be directed to Aleksandar Bobic, (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.