The Department of Data Science and Biostatistics at the University Medical Center Utrecht is looking for a senior epidemiologist with experience in the design and conduct of observational studies using real world health data. In this position you work with scientific programmers and statisticians on the design, conduct, and analysis of diverse research projects on medication safety for the European Medicines Agency or pharmaceutical companies. You are familiar with causal inference methodologies in study design, able to write protocols according to the EMA templates, review statistical analysis plans, implement and coordinate studies and teams, guide programmers and statisticians on analysis scripts and write and disseminate research outputs in a dynamic, fast-paced, multi-cultural environment.

• You hold a PhD in epidemiology or a related field.
• You have written protocols, and multiple papers, are acquainted with the ENCePP methodological guidance and have experience in programming and working in multi-disciplinary teams.
• You are familiar with R and GitHub.
• Fluency in written and spoken English is required.
• Experience in perinatal and/or pharmacoepidemiology is a plus.

Job interviews
Job interviews will be held before July 20th and/or after August 20th.

The maximum salary for this position (36 - 36 hours) is € 6.402,00 gross per month based on full-time employment.

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).

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. Over the years, the Julius Center has distinguished itself through high quality scientific research and education.

The department of Data Science and Biostatistics focuses its research and main projects on Data Science, Clinical trials methodology, Methodology for high dimensional (big) data and Real-World Evidence (RWE). RWE has an academic staff of about 8 epidemiologists, and around 5 PhD students. We work within a multicultural team and have several research collaborations across Europe.