PhD position in Epidemiology in the SwissNeoNet research group 80 %
- Entreprise
- Universität Zürich
- Lieu
- Zürich
- Date de publication
- 28.04.2025
- Référence
- 253659
Description
### 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 responsibilities
SwissNeoNet is an associated partner of the European Horizon project -IMPROVing lifElong health and development for children and adults born very PRETERM-. The project addresses the high and persistent burden of poor health and impairment associated with very preterm birth by developing a research framework for affordable, patient oriented research with results that are effective in a real world setting. Your task in this will be to participate in building comparative effectiveness use cases, e.g. for lung maturation via antenatal steroids, by analyzing data from randomized controlled trials combined with those from large European cohort studies and registries. You will assist in integrating SwissNeoNet into the existing European RECAP Preterm Platform and help optimise innovations in methods for causal inference, data capture and infrastructure development with the needs and values of affected individuals and families. To coordinate efforts, the IMPROVE PRETERM project team meets annually in Paris.
You will become part of highly innovative research at the intersection of Clinical Research and Digital Health. As a member of our interdisciplinary team you will receive the opportunity to pursue your research independently, but with support of specialists in Epidemiology, Medicine, IT, and Biostatistics. Our offices are conveniently reachable via public transport (Tram station at the campus).
Your profile
We are looking for a highly motivated person with a Master's degree (e.g. in Epidemiology, Statistics, Biology, Biomedicine, Medicine) and with good knowledge of Biostatistics and statistical programming (e.g., R), a good command of English and German (French is an asset), and the willingness to actively collaborate within the NRZ, SwissNeoNet and the Improve Preterm teams.
Marco Kaufmann
PhD Coordinator EBPI
epibiostat-phd@ebpi.uzh.ch
Your responsibilities
SwissNeoNet is an associated partner of the European Horizon project -IMPROVing lifElong health and development for children and adults born very PRETERM-. The project addresses the high and persistent burden of poor health and impairment associated with very preterm birth by developing a research framework for affordable, patient oriented research with results that are effective in a real world setting. Your task in this will be to participate in building comparative effectiveness use cases, e.g. for lung maturation via antenatal steroids, by analyzing data from randomized controlled trials combined with those from large European cohort studies and registries. You will assist in integrating SwissNeoNet into the existing European RECAP Preterm Platform and help optimise innovations in methods for causal inference, data capture and infrastructure development with the needs and values of affected individuals and families. To coordinate efforts, the IMPROVE PRETERM project team meets annually in Paris.
You will become part of highly innovative research at the intersection of Clinical Research and Digital Health. As a member of our interdisciplinary team you will receive the opportunity to pursue your research independently, but with support of specialists in Epidemiology, Medicine, IT, and Biostatistics. Our offices are conveniently reachable via public transport (Tram station at the campus).
Your profile
We are looking for a highly motivated person with a Master's degree (e.g. in Epidemiology, Statistics, Biology, Biomedicine, Medicine) and with good knowledge of Biostatistics and statistical programming (e.g., R), a good command of English and German (French is an asset), and the willingness to actively collaborate within the NRZ, SwissNeoNet and the Improve Preterm teams.
Marco Kaufmann
PhD Coordinator EBPI
epibiostat-phd@ebpi.uzh.ch