Post doc position in cancer genomics

You will be working with data from patient-derived tumour material in collaboration with other team members Your job will include development of novel and executing existing computational methods including machine learning methods to integrate genomics, transcriptomics and epigenomics data set to uncover genomic-epigenomic interactions and cancer evolution trajectories The tasks will include quality assessment, processing and filtering of different data modalities, and co-supervision of junior researchers in the group You will have the opportunity to develop your own research ideas and approaches The position involves interdisciplinary research through exchange of ideas and results with clinicians and researchers Profile We are looking for a highly motivated and enthusiastic scientist with the following competencies and experience: Essential Experience And Skills You have a PhD in computational biology, bioinformatics or related areas You are highly experienced in working with NGS data and have experience with multi-omic data Experience with tumour evolution reconstruction Proficient communication skills and ability to work in teams Excellent English skills written and spoken Desirable Experience And Skills Experience with machine learning and statistics Knowledge on mutational mechanisms in cancer Publications as co-author or first author in a related area Fellowships, grants and prizes Place of employment