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Field
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Training: A Ph.D. in biomedical science, engineering, bioinformatics, or related areas is required. Backgrounds in cell and molecular biology, cell culture, imaging, statistics are preferred but not required
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with a main emphasis on genome assembly. The research group is part of the Algorithmic Bioinformatics lab at University of Helsinki. The amount of sequencing data has increased enormously during the last
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be highly encouraged and supported. Minimum Education and/or Training: Requires a PhD degree in biomedical research and bioinformatics data analysis training Special Skills, Knowledge, and Abilities
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must have a doctoral degree in a relevant field which may include but is not limited to statistics/bioinformatics, implementation science, health economics, social work, sociology, clinical psychology
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criteria are applied using varying levels of technical complexity. Instructions are detailed and specific as to protocols used and results expected, including extensive bioinformatics analysis. Data is
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. The successful candidate will integrate multi-omic and immunological approaches, such as single-cell transcriptomics, proteomics, and tumor microenvironment profiling, and apply bioinformatic tools (e.g., R
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or single nuclei RNA sequencing, including laboratory and analytic methods. The ideal candidate will perform both in vitro laboratory methods and bioinformatics analyses. Salaries are based
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proteomic datasets, including integration across multiple cohorts, devising workflows and strategies to plan genetic association studies. ● Conducting bioinformatics and statistical analyses of high
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, and take an active role in current and future research. Dr. Issuree's team has expertise in the use of genome, epigenomic and transcriptomic assays and integrated bioinformatic analyses to uncover
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of biological sciences and/or bioinformatics. Experience in bioinformatic analyses of complex datasets. and/or Experience of in vitro cell culture & Experience in various techniques such as RNA extraction