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computational analysis of genome sequencing data in the Ellison laboratory. Position Status Full Time Posting Number 25FA1089 Posting Open Date 10/31/2025 Posting Close Date Qualifications Minimum Education and
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at the intersection of computational modeling, data science, and clinical medicine. The successful candidate will work closely with clinicians, intensivists, and computational scientists to develop
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biology, preferred. Background in immunology or cancer biology research preferred. Experience with mouse colony management and mouse experiments in vivo is highly preferred. Computer literacy with
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. The successful applicant will work in the areas of causal inference and statistical learning with high-dimensional observational data, including development of statistical and computational methods, and
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Qualifications Experience in quantitative modeling, stock assessment, population dynamics, statistics, and computer programming (R, Python, Matlab, Template Model Builder, AD Model Builder) are preferred
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research laboratory, excellent communication skills, excellent computer literacy. This research over a large span of life science topics and technical approaches, including genetics, biochemistry, cell
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. The successful applicant will work in the areas of causal inference and statistical learning with high-dimensional observational data, including development of statistical and computational methods, and
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and gene-engineered T cells. Postdoctoral Associates are expected to establish an innovative, collaborative research program addressing important and fundamental questions. Active areas of research
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: 262971 Minimum Education and Experience: Applicants must have a doctoral degree in statistics, computer science, or a related field. City: Piscataway State: NJ Location: Busch (RU-New Brunswick) Create a
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duties. Must be computer literate with proficiency and working knowledge of database and reporting tools such as Microsoft Word, Excel, and PowerPoint. Must have the ability to work collaboratively and