Projeto PRR

Sumário

The prospective employee is expected to work as an Assistant Researcher in the field of Health Data Science. The employee is expected to work in research and teaching activities at the Department of Community Medicine, Information and Health Decision Sciences (MEDCIDS) of the Faculty of Medicine of the University of Porto. In particular, the employee is expected to work on data, specifically collection, management, analysis, modelling, predictive analytics, and decision support. The employee is expected to have knowledge and experience in doing research and teaching in these fields. In addition, the employee is expected to have a clinical background and knowledge and experience in data analysis (including using frequentist and Bayesian methods).MEDCIDS has a relevant research and teaching track record in the Health Data Science field. This is indicated by (i) the creation of a Doctoral Program in Health Data Science, (ii) the range of research areas by its members, (iii) the development of several electronic health systems and decision models that impact the healthcare system, (iv) and by the participation in technology transfer and services provision activities (involving public, private, national or international entities – e.g., participation in the international conference on artificial intelligence in medicine). This research activity is done in close connection with the Associate Laboratory RISE (Health Research Network). In fact, Thematic Line 4 of RISE is fully dedicated to health policy and digital transformation, having as its scope “development and assessment of methods and technologies to improve biomedical sciences and healthcare”.MEDCIDS has also displayed a vibrant teaching activity in the Health Data Science field, with contents on introduction to intelligent data analysis, principles of health data, bioethics and legislation being one of the cornerstones of the Doctoral Programme in Health Data Science. In addition, these contents are taught in the Master’s Degree in Medical Informatics and Evidence and Decision in Health (all these programmes are hosted at MEDCIDS). Topics on Health Data Science will also be of key importance to the BSc course in Digital Health in Biomedical Innovation, in particular to its branch of Clinical Research and Innovation Management in Health. Of note, several of the partners of this BSc course correspond to public or private entities with whom MEDCIDS has collaborated in technology transfer or service provision activities. Given this background and the need to further develop research and teaching activities in this field, hiring an Assistant Researcher in the Health Data Science area is necessary.