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, Biostatistics, Computational Biology, Data Science, Computer Science or related field A combination of education and related technical/paraprofessional experience may be substituted for the bachelor’s degree on a
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. As the primary clinical/translation research core within the Pulmonary Division, PTraC is composed of 4 sub-cores focused on Biostatistics and Bioinformatics, Regulatory Affairs, Lung Tissue
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Professional will join a growing multi-disciplinary team working at the intersection of epidemiology, biostatistics, multi-omic data analysis, and rheumatology. Half of this position will be devoted to the NIH
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Engagement and Outreach, as well as methodological cores in Qualitative and Mixed Methods, Economic Analysis, Practice-Based Research Networks (PBRNs), Biostatistics for Health Services Research, and Mobile
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#:00821275 – Requisition #:33251 Job Summary: This is a full-time team science position in the Center for Innovative Design and Analysis and Department of Biostatistics and Informatics (DBI). This person will
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is committed to diversity and equality in education and employment. Qualifications: Minimum Qualifications: Entry Level: Bachelor’s degree in Bioinformatics, Biostatistics, Computational Biology, Data
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certification or experience in biostatistics Technical or procedure writing experience. Familiarity with Industry-standards regarding clinical research data methodologies Knowledge, Skills and Abilities: Ability
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Decision Making, Education, Community Engagement and Outreach, as well as methodological cores in Qualitative and Mixed Methods, Economic Analysis, Practice-Based Research Networks (PBRNs), Biostatistics
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, Education, Community Engagement and Outreach, as well as methodological cores in Qualitative and Mixed Methods, Economic Analysis, Practice-Based Research Networks (PBRNs), Biostatistics for Health Services
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: Applicants must meet minimum qualifications at the time of hire. Scientist/Instructor: Doctoral Degree in Statistics, Biostatistics, Epidemiology, health-related data science, or related field. At least two