Deep endophenotyping is a core element of the Rhineland Study and includes gathering of extensive ‘omics’ data on every individual participant, including detailed data on genomics, epigenomics, transcriptomics, metabolomics, lipidomics, proteomics as well as the microbiome. Processing and integration of the individual-level ‘omics’ data is essential for linking these data to information on many clinical (endo)phenotypes collected within the framework of the Rhineland Study. As a bioinformatician you will be responsible for the management and further development of the multi-omics platform of the Rhineland Study, and thus play a key role in supporting the many research projects involving ‘omics’ data. Besides local studies, these also include collaborations in various large international consortia. In addition, you will be offered the opportunity to develop your own research focus using the Rhineland Study data.
• Supervision of acquisition and processing of data (including genotyping arrays, DNA/RNA sequencing and metabolomics data)
• Supervision of graduate and PhD students
• Analysis of data and preparation of manuscripts for publication in peer-reviewed journals
• Maintaining contact with our internal and external academic and industrial partners
• Preparation of grant applications
We are looking for a highly talented, motivated, and ambitious researcher with good social skills. The successful candidate holds a PhD degree in computational biology, molecular biology, (bio)medical sciences or a related discipline and has extensive experience in bioinformatics and large-scale multi-omics projects, including genomics, epigenomics, transcriptomics and/or metabolomics. Demonstrable interest in quantitative research, strong analytical skills, ability for independent and critical thinking, leadership capabilities and excellent communication and writing skills in the English language are a prerequisite.
Please upload your application including cover letter, CV, relevant transcripts and contact information of three references IN A SINGLE FILE to: