The Julius Center for Health Sciences and Primary Care is one of the 10 divisions within the UMC Utrecht. The Julius Center aims for a leading role in the acquisition and dissemination of knowledge in the field of Health Sciences and Primary Care. Through the years, the Julius Center has distinguished itself through high quality scientific research and education. The department of Data science & Biostatistics focuses its research and main projects on Data Science, Clinical trials methodology, Real World Evidence and Methodology for high dimensional (big) data. It has an academic staff of about 30 statisticians, epidemiologists and data scientists and 30 data managers. The Real-World-Evidence group in the department of Datascience & Biostatistics focuses on transformation of distributed big routine health data into evidence that can be used by medicines regulators (e.g. European Medicines Agency) and health care professionals as part of a learning health ecosystem.

The successful candidate is a skilled and enthusiastic programmer with a MSc or PhD degree in (Bio)statistics, Informatics, Data science, Econometrics, Epidemiology, Health Sciences or a related field, and has a broad interest in medical research. You have demonstrated experience in use of R, Java, SQL, Github and agile working for scientific programming. Fluency in English, both verbal and in writing, is required, as well as proficiency in data management /engineering and quality management of programming. Being fluent in Dutch is an advantage.

You are an analytical person who has ample experience in programming and data management / engineering as well as Github, in a multidisciplinary setting. Quality and accountability is important for you. You are able to deliver on time and a team player.