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cellular endpoints. In parallel, the fellow will perform complementary functional studies to investigate tumor cell state, lineage programs, and therapeutic response. This work will incorporate a broad
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manuscripts, and conference presentations Desired Qualifications* Preferred candidates will have experience in one or more of the following areas: High volume datasets and High throughput computing
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successful candidate will receive a competitive salary, computing resources, and other benefits in accordance with departmental and university policies. Required Qualifications* PhD in Biostatistics
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, or QTL mapping. We prioritize methodological understanding over tool familiarity. Strong programming skills (R and/or Python) and comfort in a high-performance computing environment. Evidence of
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& Engineering (MICDE). World-Class Infrastructure: Access to high-performance computing resources, advanced AI testbeds, and state-of-the-art testing facilities. Direct Real-World Impact: Leverage
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, or cardiometabolic disease Track record of peer-reviewed publications relative to career stage Experience with multi-omic data integration Familiarity with HPC or cloud computing environments Why