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in the lab. · Computational biology: Perform bioinformatic analyses, including RNAseq analysis, genome sequence alignment, phylogenetic tree creation, and protein structure prediction
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communication skills for interacting with colleagues and stakeholders. Advanced epidemiology training/work experience preferred (e.g., causal methods, longitudinal analysis, life course methods, missing data
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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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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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or Ph.D. in relevant field Certification and Licensing: Not Applicable Experience: No prior experience required Knowledge, Skills and Attitudes: Skill in collecting, organizing, and analyzing data. Ability
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not intended to be all-inclusive and may be expanded to include other duties or responsibilities as necessary. MINIMUM QUALIFICATIONS Ph.D. in relevant field, or PhD in molecular genetics, genomics
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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
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laboratory techniques including RNA isolation, real-time qPCR (experimental setup and data analysis), immunofluorescence and/or immunohistochemistry, sterile cell culture technique, western blots, flow