Statistician Department of Clinical Pharmacy and Pharmacology

Applications are invited for a 3-year full-time statistician position at the Department of Clinical Pharmacy and Pharmacology, University Medical Center Groningen starting from 1 May 2026. Clinical research within the Department of Clinical Pharmacy and Pharmacology focuses on personalized medicine for the treatment of renal and cardiovascular complications of type 2 diabetes. Principal investigators within the department are involved in numerous clinical trials and large cohort studies aimed to develop new methods of tailoring medications using biomarker-based approaches and improve clinical trial designs by integrating novel methodological techniques. To support ongoing research and clinical trials the Department of Clinical Pharmacy and Pharmacology has a position available for a 3-year full time data-analyst / statistician.

• Perform bio-statistical analyses of completed clinical trials in cardio-metabolic conditions as needed.
• Support colleagues, including PhD students, in eCRF in bio-statistical analyses.
• Assist in eCRFs and database development for newly initiated clinical trials.
• Assist in writing statistical sections of study reports or publications.
• Identify the need for and assist in the writing and review of Standard Operating Procedures for quality assurance.
• Stay current on relevant research and statistical methodologies and database development via statistical or database training, self-study, internal training, and courses.

We offer a unique, multidisciplinary working and learning environment with possibilities to develop expertise in a diversity of research areas and involvement in ongoing large international clinical drug trials. You will be working in an energetic and enthusiastic team of more than 30 researchers from diverse backgrounds. The group has an extensive network, both nationally and internationally.

We are looking for an enthusiastic data-analyst / statistician who can independently conduct basic and preferably advanced bio-statistical analyses. The applicant holds a Master’s degree, or equivalent and has experience in statistical analyses of bio-medical data. The candidate has knowledge and experience with statistical software including R and SAS. Experience with genetic and proteomic analysis of large databases is an advantage. We expect the candidate to demonstrate professional competence and to be conscientious and efficient in meeting commitments, observing deadlines and achieving results. The candidate ideally has experience with quantitative research, data analysis, ICT developments in the medical sector, and is proficient in English writing. Candidates who have (almost) completed a Master degree in biostatistics, bioinformatics or related fields are invited to respond.