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) based research on medical devices with clinical, regulatory, and public health aspects. This opportunity uses knowledge and skills in using Biostatistics/ Bioinformatics methods such as relative risk
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faculty members with a wide range of expertise (e.g., statistical genetics, genetic epidemiology, biostatistics, bioinformatics, functional genomics, and translational studies). Use bioinformatics and
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. You will hold a Doctoral (or be near completion) degree in epidemiology, biostatistics, real world evidence, health data sciences, or a related field. You will have experience in the use of R
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workshops to the UConn community and beyond. MINIMUM QUALIFICATIONS Ph.D. in Statistics, Biostatistics, Data Science, or related field. Mastery of statistical programming in R. Proficiency with Rmarkdown
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independently. Additional qualifications Previous experiences in working with extracellular vesicles, experience in bioinformatics/biostatistics and experiences in molecular tools such as proximity ligation
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to include other duties or responsibilities as necessary. CORE QUALIFICATIONS Education: Ph.D. in Biostatistics, Statistics, Bioinformatics, Computer Science, or a related field Experience: No prior experience
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harmonized into a single master dataset from which analysis datasets will be drawn. Maintenance and management of existing datasets along with incorporation will be included. Biostatistical analyses both
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Perks: Faculty Benefits Summary Minimum Qualifications: Education: A Ph.D. in Bioinformatics/Biostatistics or Computational Biology, earned no earlier than 2019, is required. Experience: A background in
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discipline (Economics, Health Economics, Health Services Research, Epidemiology, Biostatistics and/or Health Technology Assessment). A PhD qualification in a relevant discipline for a Level C appointment. An