10 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" Postdoctoral positions at St Jude Children's Research Hospital
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analyze data, with minimum supervision, to test specific hypotheses. Expert ability to distill, convey and present complex information in a clear and concise manner both verbally and in writing is essential
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subtomogram averaging Integrate the structural data with the lab's interaction mapping, proteomics and computational modeling Design and run follow-up cell biology experiments to test mechanistic hypotheses
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teams to interpret data and drive discovery Required Qualifications PhD in cancer biology, molecular/cellular biology, biochemistry, immuno-oncology, or a related field Strong experimental background in
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Fabrication Core, a Biomedical Testing and Sample Preparation Support core, a Data Analytics Support core, and a Productization and Dissemination Core that will provide hands-on support to guide technologies
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, and computational modeling. They will design and execute experiments, analyze large-scale proteomic data, and interpret results. The individual is expected to lead projects that gravitate
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the health of children through biomedical research. To apply please include a cover letter, CV and the names and contact information of three references. St. Jude is an Equal Opportunity Employer No Search
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projects at the interface of cell biology, development, and disease. To apply Please send: a cover letter describing research interests and career goals, a curriculum vitae, and contact information for three
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following articles published over the past four years for additional information: Cell 187:205 (2024); Nature 624:154 (2023); Nature 620:200 (2023); Nature 623:1034 (2023); Nature Reviews Immunology
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discipline The ability to independently design and execute experiments and interpret data Expertise in at least one of the following areas: Super-resolution imaging, including Stimulated Emission Depletion
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responses to cancer therapies in human induced pluripotent stem cells) data for elucidating molecular mechanisms for health outcomes; and 3) evaluating health disparities through pharmacogenomics