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Field
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ongoing research activities within the School in a highly collaborative academic environment. The role will also involve training and supervising PhD students and junior research associates in
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, such as differential gene expression. -Perform various molecular biology experiments to validate the results obtained through bioinformatics. -Evaluate data and summarize results for preparation in peer
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, for example at the Faculty of Science through the Leiden Complex Network (LCN2) and nationally through the Dutch Network Science Society. The candidate will be asked to engage in (limited) BSc, MSc and PhD
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multidisciplinary research group focusing on breast and prostate cancer. The group consists of three senior researchers, three associate researchers, one biomedical scientist, as well as PhD students and master’s
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laboratory investigators involved in the management of prostate cancer, and researchers developing bioinformatics methods that exploit AI technologies in the Fred Hutch Data Science Lab. The Fred Hutch Data
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someone who wants ownership, visibility, and scientific freedom. Your Profile PhD in molecular biology, bioinformatics, marine biology, or a related field Strong skills in R and/or Python and
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. Specific Requirements A PhD qualification in molecular ecology, evolutionary biology, fisheries genetics or a related field. Experience with bioinformatics analysis, especially with next-generation
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. Preparation and analysis of research data for oral presentations, grant applications, and publication in peer-reviewed professional journals. Application and implementation of bioinformatics and computational
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data sequences from the project and reports. Prepare high draft quality manuscripts for submission Mentor master students and PhDs Education, qualifications, and experience Applicants must have earned a
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background in bioinformatics and previous experience with next-generation sequencing (NGS), ideally in cancer genetics. In particular, familiarity with the analysis of whole-exome/whole-genome sequencing data