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are interested in understanding the evolution and genetic basis of human disease. For this purpose, we analyze genomic and phenotypic data that requires writing computer programs that can read and wrangle various
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the duration of the study regarding the treatment plan, anticipated side effects, and monitoring guidelines/follow-up. ● Maintains accurate source documentation, including documentation of research visits in
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documentation to support each step of the process through to application approval or denial. Screen patients for programs they may qualify for based on household income and family size, or other established
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computer skills for accurate data collection using various hospital EMR systems (primarily EPIC systems) and willingness to learn various Data Capture systems (WebDCU, RAVE, Red-Cap) ability to work on site
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of the process through to application approval or denial. Screen patients for programs they may qualify for based on household income and family size, or other established criteria depending on the program and
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programs that can read and wrangle various data types (e.g. summary statistics from genome-wide association studies and next generation sequencing output), carry out statistical computation, and output
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Education program for residents and incoming faculty o Lead residents with their quality improvement projects (A3 design, set metrics, collect data, analyze, guide PDSA cycles) 20% Partner with the chair
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of the study regarding the treatment plan, anticipated side effects, and monitoring guidelines/follow-up. Maintains accurate source documentation, including documentation of research visits in the EMR (e.g
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items when needed, maintaining organization of items. ● Prepare for, schedule, and participate in pre-site selection visits, site initiation visits, monitoring visits, program audits, etc. by coordinating
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with research database software including REDCap, Oncore, Epic, and Microsoft Access • Ability to work independently, make decisions, problem solve and prioritize the simultaneous management multiple