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. Zheng's lab works on problems at the interface of statistical, computational and biomedical sciences. The lab has developed methods to decipher gene cis-regulatory mechanisms from transcriptomics
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Postdoctoral Research Fellow to join our dynamic research team. The successful candidate will engage in cutting-edge research focused on epidemiology and statistics, contributing to our understanding and
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contributed datasets. DEPRESSD investigators publish studies on screening tool accuracy, statistical methods for IPDMA, and other methodological and meta-research studies that advance work on screening
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genetics, statistics, and bioinformatics tools. A primary role will be contributing to research projects' design, implementation, manuscript preparation, and assisting in grant writing. He/she will be
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found online: https://www.jglab.org/ and www.github.com/goekelab Requirements: PhD in Bioinformatics, Computer Science, Statistics, Genomics, or a related discipline Good programming skills and strong
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). He/she will work in a team environment. He/she will apply existing genetics, statistics, and bioinformatics tools. A primary role will be contributing to research projects' design, implementation
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to guide experimental design and validate computational predictions Develop innovative machine learning and statistical models to characterize epigenomic heterogeneity and treatment resistance mechanisms
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to develop and execute on complex chemoproteomics-based projects Ability to collect and analyze experimental data, prepare research publications and communicate results Strong understanding of statistical
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theory or statistical mechanics is desirable. Please see the position description for full details.
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disciplines (or in the final stages of completion) • A strong background in state-of-the-art cell biology techniques • A strong background in statistical analyses • Experience in the analysis of next generation