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/~wwang7 . Position Title: Postdoctoral Fellow in Cancer Computational Biology Program/Position Description: Analyze next-generation sequencing (NGS) data, including: Develop computational and statistical
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from Washington, D.C., George Mason University is uniquely positioned for collaborations with multiple academic institutions, government laboratories, and industry partners in the D.C.–Maryland–Virginia
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. Strong fundamentals in cancer biology and statistics are essential. Demonstrated proficiency in multiple programming languages such as Python/R, with experience in computational analysis of omics datasets
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Description: Key Roles and Responsibilities: Research Overview: Develop and perform synthesis of multiple small molecule platforms in collaboration with principal investigators of KUMC, KUCC and from other
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related field. Desired Qualifications* Experience working with plants and/or genome sequencing/whole genome re-sequencing. Modes of Work Positions that are eligible for hybrid or mobile/remote work mode are
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COMPUTATIONAL BIOLOGIST FELLOW to lead cutting-edge studies of genetic risk for cancer using large-scale multimodal sequencing datasets across tens of thousands of individuals. The main objective of these studies
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Experience with molecular biology and next generation sequencing analyses is preferred.
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computational approaches, to decode tumor and immune biology and usher in a new era of biologically informed clinical care for patients with blood cancer, such as Multiple Myeloma. Our laboratory is part of
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to work with multiple researchers, technical staff, post-docs, and graduate/undergraduate students in an interdisciplinary environment; • Must be able to exercise judgment and discretion and to prioritize
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. In vitro approaches include mammalian cell culture, molecular biology, microscopy, immunohistochemistry, functional genomics, proteomics, high throughput drug screening, and genome-wide sequencing. In