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Field
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six (6) credits in biology, three (3) credits in chemistry, and three (3) credits in microbiology, immunology, molecular biology, histology or biostatistics and one (1) year of technical laboratory
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, Biostatistics, Clinical Pharmacology, Precision Medicine, and Digital Medicine). The individual will be involved with clinical drug development activities from FIH through PoC and will be a key member of clinical
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and across the University, encompassing areas such as Statistical Modelling, Computational Statistics, Biostatistics, Astrostatistics, Medical Statistics, Statistical Image Analysis, and Statistical
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Scheduled Hours 40 Position Summary Participates at all levels of research-related activities, including innovative data analysis, design of experiments, clinical trials and epidemiological studies, and preparation of reports, manuscripts and grant proposals. Makes scientific contributions to...
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. Scholars with an outstanding track record in any of the fields of biopsychology, neuroscience, genomic/precision medicine, bioinformatics, and biostatistics are encouraged to apply. CHLS is well-positioned
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. Preferred qualifications include successful experience teaching at the college level; a record of professional experience in the field of health science or public health (e.g. Biostatistics, Epidemiology
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appropriate. Supervises and provides guidance for the studies within the CRU on reporting study metrics and progress. Collaborates with CRU biostatistical support to provide education and support to teams
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improvement principles, licensing standards and regulations. Computer skills: (Excel/PowerPoint/Word), applied knowledge of applied biostatistics, written and graphical presentation skill Level Characteristics
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for publication and presentation at conferences and workshops. Required Qualifications* Master's degree in data science, statistics, survey methodology, biostatistics or in a recognized field of quantitative social
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biostatistics-related field (statistics, biostatistics, public health, psychology, human development, data science, or related discipline). Candidates must demonstrate proficient and comprehensive knowledge