The ETH Zurich core facility NEXUS Personalized Health Technologies enables discovery and translational research for personalized health. To join our international, multidisciplinary team in Zurich we are seeking, to commence immediately or by mutual agreement, a
Biostatistician (80 - 100%)
The mission of the Clinical Bioinformatics Unit at NEXUS is to apply expertise in bioinformatics and statistics to advance biomedical research and clinical applications. You will be primarily responsible for the statistical analysis of high throughput data from next generation sequencing experiments (RNA-Seq, WGS, WES, ChIP-Seq, single cell genomics) as a service to users from academia, hospitals, and industry. Support in statistical considerations of sample size and experimental design will be a regular discussion topic with users. Internally, you will participate in the evaluation and implementation of new methods to improve existing pipelines. The paradigm of reproducible research is of great importance in our group, therefore the use of software tools like markdown, git, and containers will be required for development and sharing.
The successful candidate has an MSc in (bio-)statistics or a related field, profound knowledge in applied statistics, and strong programming skills in R. Familiarity with modern statistical methods for regression, prediction, and classification are required. You have hands-on experience in analyzing biological or medical data, for instance during a master’s or equivalent work in a project. Experience with the analysis of time-to-event data, high-dimensional data, or machine learning is a plus. Interest in and enthusiasm for biomedical research projects involving high-dimensional molecular data sets and complex experimental designs is strongly recommended. Excellent communication skills in English are required. Knowledge of German is a plus. The position is fixed term for one year with the possibility of renewal. We especially invite women to apply.
We look forward to receiving your online application. Please address your application to Mr Michael Wobmann, Human Resources. Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered.

For further information please visit our website Questions regarding the position should be directed to Dr. Daniel Stekhoven by email stekhoven[at] (no applications). As a core facility, we do not offer PhD or Postdoc training positions.