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. Exposure to conducting evidence synthesis and systematic reviews. Experience and working knowledge of at least one statistical software (E.g. SAS, STATA, R, and SPSS). Preferred Qualifications Work
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research in urology and development of research in urology surgical techniques, including bio-engineering research. Preferred Qualifications Education: Medical degree in the urology field. Skills
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must provide evidence of degree-in-hand prior to being offered the fellowship. Work Experience: Experience using Stata and/or R statistics software to manage datasets and estimate regression models
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the Microsoft Office Suite. Experience with general clinical research in urology and development of research in urology surgical techniques, including bio-engineering research. Preferred Qualifications: Work
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controls. Work with clinical samples including serum, plasma, patient-derived tissue, ascites for EV-based biomarker discovery Mammalian cell culture for isolation of sEVs. Cell engineering to express new