We seek an independent researcher in the field of Data science / Statistics enthusiastic about health care innovations! Are you the scientist who can strengthen our multidisciplinary section HTSR (Health Technology and Services Research)?Assistant Professor Optimizing health care by statistical modelling
Data science is becoming more and more relevant in a growing number of scientific fields including health care. This is especially due to the exponential growth in size of available data sets. Increasingly heterogeneous data is available, such as patient characteristics, clinical measurements, images, text data, sensor data, daily experiences and patient preferences. The impact and value of this data may also increase, depending among others on the availability of knowledge to use the data to build appropriate statistical models that are valid, explainable and trustful.
The section HTSR conducts research on the impact of innovations on clinical and health outcomes, delivery of health services and associated health care costs and measuring patient preferences. It consists of a multi-disciplinary team of health economists, statisticians, data scientists, epidemiologists and health scientists. It has collaborations with academic hospitals throughout the Netherlands and with hospitals in the region such as ZGT (Almelo / Hengelo), MST (Enschede), Rijnstate (Arnhem), Deventer hospital and Isala (Zwolle) and organizations such as IKNL (hosting the Dutch Cancer Registry). From these partners there is a growing interest to optimize clinical decision making, for example using prediction tools based on statistical models developed on (regional) patient data. We teach data science and statistics, epidemiology, HTA, and health economics in, among others, health and biomedical bachelor and master programs, such as Health Sciences and Technical Medicine.
Due to growing teaching and research activities we seek to expand our team with a data scientist or statistician. The focus of this position is on developing statistical and /or machine learning models based on individual patient data to optimize the decision-making process.
We offer a position as assistant professor where you have the opportunity to express creativity in solving challenging data science problems, the flexibility to choose own application areas, medical domain and innovations to focus your research on, and to collaborate with experts from other groups within the university, such as mathematicians, behavioral scientists, AI-experts and technicians.Responsibilities
You contribute to teaching (50-70%) and research (30-50%) and will be responsible for :
- Research: contributing to further developing the statistics / data science research line within HTSR. Key activities are co-acquisition and co-execution of research projects, producing high quality journal publications, and securing (inter)national scholarly visibility;
- Education: teaching (bio)statistics and / or data science at different levels; supervising BSc and MSc thesis projects;
- Valorization: engaging with partners, such as hospitals, policy makers, municipalities, insurers, care professionals, patients, and citizens, to identify challenges, questions, and implementation of developed models into for example decision tools.
- Organization: supporting HTSR activities and committees within the TPS department, the TechMed Center and BMS Faculty.