Assistant Professor data sciences thrombosis
- Recovery verpleegkundige
- Regio Utrecht
- Vaste aanstelling
- 24-32 uur
The assistant professor in this project will work in a team of ambitious and dedicated clinical researchers in the field of cardiovascular medicine and thrombo-embolism in primary care. Knowledge and hands-on experience on clinical epidemiology and biostatistics, in particular prediction research, is pivotal for this project in which you will supervise a PhD student. Within a team, you will work on two projects; (i) a recently acquired Vidi-grant from NWO “Treatment of superficial venous thrombosis: From ‘a shot in the dark’ to personalized care”, and (ii) an international individual patient data meta-analysis on how to diagnose deep vein thrombosis and pulmonary embolism. For the first project, we intend to explore the natural prognosis as well as treatment effects of patients with superficial venous thrombosis using routine healthcare data from general practice. The second project will use individual patient data from all available completed diagnostic studies in patients with suspected deep vein thrombosis or pulmonary embolism, with the aim to explore diagnostic effect modification of predictors or clinical prediction rules across subgroups of patients and care settings. Both projects will rely on traditional regression analyses techniques, as well as on more advanced techniques from deep neural networks, and natural language processing. Within our team, you will collaborate with clinicians with a track-record on ‘guideline-impacting’ research in the field of cardiovascular medicine in primary care. The team currently exists of 3 general practitioners (full professor, associate professor, assistant professor), and 4 PhD students. In addition, we have strong ties with the departments of clinical epidemiology and biostatistics within our Julius Center. Internationally, we are connected with various research groups on the management of thrombo-embolic conditions, and cardiovascular diseases, and participate in multiple (national and international) guideline committees.
The Julius Center is a knowledge center for Health Sciences and Primary Care, part of the University Medical Center Utrecht and Utrecht University. We conduct multidisciplinary scientific research into new diagnostic and treatment methods within four cross-departmental programs: Cardiovascular Epidemiology, Epidemiology of Infectious Diseases, Cancer and Research Methodology. For this project you will be embedded within the cross-departmental program Cardiovascular Epidemiology, as well as within the department of General Practice.
The candidate for this position has finished a PhD in clinical epidemiology, biostatistics or any other health sciences related topic. Knowledge is required for hands-on experience with in particular prediction modelling and data-linkage, big data handling and machine learning data sciences techniques. A background in or firm knowledge in medicine, in particular cardiovascular diseases, is also an advantage.
The maximum salary for this position (89-100%) is € 5.226,00 gross per month based on full-time employment (work week 36 hours). This job is based on a temporary position for 3 jaar.
In addition, we offer an annual benefit of 8.3%, holiday allowance, travel expenses and career opportunities. The terms of employment are in accordance with the Cao University Medical Centers (UMC).
Maximum salary will depend on background, education and existing experience.
Acquisition based on this jobopening is not appreciated.