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Medicine (MD) or PhD in Epidemiology or related field required. No previous experience required. Prefer at least 6 months of related experience working on public health research projects. Knowledge, Skills
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limited to, integrated cancer risk prediction model, cancer subtype discovery, genomic and epi-genomic data integration, single cell RNA-Seq data analysis, non-coding RNA data analysis, and other datasets
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conferences. Candidates should hold a Ph.D. in Physical Oceanography or related discipline, with demonstrated expertise in numerical modeling and data analysis. Strong communication skills and a record of peer
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planning and capacity building for new research initiatives, particularly those related to harm reduction and telehealth-based care. Mentor MPH and PhD students through collaborative research, manuscript
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expression analysis and auditory physiological evaluation of identified genes in inner ears in mouse models of human genetic deafness. Conducting functional characterization in animal models and organoids
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data analysis for omics studies, including genotype data, bulk and single-cell RNA sequencing data, high-dimensional phenotype data, pathway and functional analysis, network analysis, polygenic risk
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biology and cell biology techniques such as nucleic acid extraction and manipulation, PCR, RT-PCR, Western blot analysis, immunostaining, cell culture, cell transfections, cell sorting. Performs genomic
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lab. Adhere to all university and agency policies regarding animal welfare, safety, security and compliance. Department Specific Qualifications Education: MD or Ph.D. in relevant field PhD in Biomedical
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biology. Experience with single-cell RNA sequencing data analysis, basic scripting in R or Python, and integration of multi-omic datasets is considered an advantage. Candidates should also possess a strong
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analysis, and data management for Dean Santos’ primary grants. Participate in dissemination activities including but not limited to manuscript development for Dean Santos’ Environmental Influences on Child