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H. Lee Moffitt Cancer Center
Tampa, FL (In Person)
Full-Time
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Job Description
About the Lab Omics techniques emerged as efficient and comprehensive approaches to profile bio-signatures in many biomedical fields at the resolution of cell molecules and tissue imaging pixels. Quantifying and interpreting these signatures from omics profiling face data challenges such as heterogeneities, noise/errors, large volume, context complexities, etc. Our lab (https://lab.moffitt.org/teng) in the Department of Biostatistics and Bioinformatics focus on developing statistical and AI methods to analyze, annotate and integrate complex omics datasets. We build open-source software to ease the data analysis across omics modalities. Particularly, our ongoing work in the lab addresses questions including: heterogeneity removal in genomic sequencing data, enhancer function dissection with large epigenomic data modeling, DNA oncovirus mechanisms with cross-modality integration, etc. Beyond ongoing focuses, we are also expanding the research in other topics: statistical modeling in spatial omics; AI models in translational pathology; AI modeling of clonal hematopoiesis evolution, etc. We are commited to understanding human diseases like cancers through data science innovations. We are looking for a Postdoctoral Fellow in AI for omics to contribute to any of the topics above.