The candidate will apply and develop computational approaches to identify therapy response associated cell subsets and instruct further in-depth experiments for these cell subsets. Further, identified signature cell types will be subjected to proteomic and epigenetic screening to provide an in-depth view of the biochemical state of disease-relevant cell types. Upon validation in independent patient cohorts, this information will then be used to stratify patients prior to immunotherapy to maximize the therapeutic impact and to minimize adverse effects as well as to provide new personalized therapeutic targets for immune-intervention across the Swiss wide patient population.
The ideal candidate brings along a degree that demonstrates an interdisciplinary background in both life and formal sciences. A solid background in mathematics, statistics and programming is required to carry out the subsequent data analysis. A background in experimental biology is an additional asset for a productive interaction with the consortium partners. A fluent level of English is mandatory. We are looking for a highly motivated candidate with excellent communication skills that is capable of working in an interdisciplinary environment and can team up with scientists for experimental as well as computational analysis. The candidate should have a high degree of initiative. A competitive salary will be provided, which will be well matched relative to the cost of living in Zürich. We offer work in a highly stimulating environment with state-of-the-art infrastructure, providing the successful applicant with unique opportunities to develop a strong interdisciplinary portfolio in both experimental and computational biology.