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The Research Data Analyst will be expected to use skills as an experienced research professional with a full understanding of statistical analyses and application of epidemiologic principles; communicate and disseminate research findings with a broad set of collaborators; provide high-level support to internal and external investigators/faculty in geospatial/GIS and epidemiologic research projects and publications.
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Master’s degree (e.g. MA, MSc, MPH) in Biostatistics, Epidemiology or related discipline, such as Outcomes Research from an accredited institution, with a minimum of eight (8) years of relevant, post-graduation experience.
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The statistical programmer will work most closely with the biostatistician and data managers. The statistical programmer will be an integral member of the research team and provide programming support for the cleaning, summarizing/reporting, and analysis of research data.
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The School of Public Health division of Health Policy & Management is seeking applications for a full-time Data Programmer and Analyst to work on health services and health economics research projects (8352R4 Researcher 4.
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At the Data & Analysis Center of the Forum for Collaborative Research, we are at the forefront of blending data science, biostatistics, and data engineering to pioneer advancements in public health and regulatory sciences.
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We are seeking a Bioinformatics Analyst II to join the Seibold Lab team, with a background in bioinformatics, computer science, computational biology, biostatistics, or statistical genetics to join our team.
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The successful candidate will be an effective science translator, data analyst, and persuasive advocate for evidence-based practice improvement, and have a demonstrated commitment to environmental and social justice.
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These business functions include: Clinical Operations, Clinical Development, Biostatistics and Data Management, Regulatory Affairs, Quantitative Clinical Pharmacology, Clinical Safety and Pharmacovigilance, Regulatory/Risk Management, Quality Assurance, Medical Affairs, Translational Research, Research, Informatics Services Project Management and Operational Management.
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The Data Analyst will be the analyst for two randomized trials of food security interventions, one among adults with type 2 diabetes in the San Francisco Bay Area, and the other among adults living with HIV in the Dominican Republic.
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Master's degree in bioinformatics, computational biology, genetics, data science or related field with at least three years' direct experience in computational analysis of large single cell sequencing-based molecular data sets.
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Bachelor's degree in epidemiology, biostatistics, pharmacoeconomics, health services research, economics, health economics, public health or a related quantitative discipline. As a subject matter expert, you will interpret and analyze clinical data from various sources and recommend best approaches for its consolidation.
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The Data Analyst provides strategic and tactical support by mining, analyzing and interpreting data to create basic and complex reports for distribution to leadership and others. Associates Degree : Information technology, biomedical sciences, biostatistics or related field of study (Required.
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To join the Seibold Lab team, with a background in bioinformatics, computer science, computational biology, biostatistics, or statistical genetics to join our team. Bioinformatics Analyst II.
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Bachelor of Science in degree in Bioinformatics, Computational Biology, Data Analytics, Computer Science, Biostatistics, Biomedical Engineering, or related fields. We are seeking a talented and motivated Multidisciplinary Data Analyst to apply their knowledge of clinical science, behavioral science, and epidemiology to develop and deploy novel analytic methodologies.
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Serve as a lead analyst for genomics research studies, spanning analysis plan development, data quality analysis, computational hypothesis testing, and results interpretation. will serve as a lead analyst for CMPH in the Data Science Division.
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