Early career data scientist/ research fellow/ junior epidemiologist (80% to 100%)
Institute of Social and Preventive Medicine (ISPM) at the University of Bern
The Institute of Social and Preventive Medicine (ISPM) at the University of Bern performs research in a range of disciplines relevant to public health (www.ispm.unibe.ch). Groups cut across divisions, facilitating an interdisciplinary approach to research in the fields of clinical epidemiology, social and behavioural health, biostatistics, and international and environmental health.
The Child and Adolescent Health Group, headed by Prof. Dr. med. Claudia Kuehni, conducts population-based and clinical studies in child health.
Do you like to be a key driver of a revolution in big data in the field of paediatric research? Improve the lives of children for generations to come in Switzerland? In this position, you will be part of the Swiss-wide National Data Stream “SwissPedHealth” platform, which includes 7 paediatric hospitals in Switzerland and is funded by the Swiss Personalized Health Network (SPHN). You will make routine data from clinical encounters in children's hospitals available to the paediatric research community. The data stream will combine health data from all university children's hospitals, cantonal hospitals, health registries, and research institutions to build a dataset of >1 million children. You will also collaborate internationally and compare your data with similar initiatives from other countries, such as a large dataset from the US with information from >12 million children.
The combined dataset will be analysed in several nested research projects. You will mainly be involved in one that does focus on childhood cancer patients. Since 1976 children diagnosed with cancer are reported actively to the National Childhood Cancer Registry (www.childhoodcancerregistry.ch) to record cancer incidence, treatment, and survival. Until now, data entry and quality control are manual. This leads to delays in registration and duplication of work. In this project you will compare data extracted from hospital records with manually entered data in the cancer registry and work towards establishing automatized quality control and transfer of digital data from hospitals directly into the registry. This will improve data collection pathways and lead to more efficient cancer registration procedures and related research.
- Support hospitals in implementing harmonised data capture in their hospital information systems, extract data for research, combine, compare, and clean them and improve data flows.
- Define approaches for linking hospital data with other data sources, for instance from the Swiss Federal Statistical Office (mortality and birth statistics), and from registries and cohort studies
- Compare information on children diagnosed with cancer between the data warehouses of the hospitals and the childhood cancer registry; develop procedures for bidirectional dataflows
- Write publications in peer-reviewed journals and present results at conferences
- Support a PhD student in manuscript preparation and statistical analyses
- PhD, MD/MSc in epidemiology, paediatrics or a related field with a strong research track record.
- At least 3 years' experience in epidemiology, statistics, or public health in a medical setting.
- Strong organizational skills and ability to work independently and interact with interdisciplinary teams e.g., hospital heads, clinicians, researchers, data- and project managers.
- Strong communication skills in writing and orally (chairing meetings, being able to distinguish important from non-important issues etc.) and excellent level of English (German and/or French would be an asset).
- Statistical programming skills, ideally with experience in STATA or R
- Be driven, goal- and team-oriented