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Bachelor's or Master's degree in Health Informatics, Statistics, Public Health, Epidemiology, or a related field. Statistical Software: SAS, R, Python. Perform advanced statistical analyses to evaluate healthcare quality measures and identify trends, patterns, and variations.
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Proficiency in data analyses using statistical tools such as SAS, Stata, and GraphPad Prism. Doctoral Degree in Epidemiology, Biostatistics, Statistics, or related field. The incumbent also oversees a staff of clinical data management specialists, programmers, and data analysts that are tasked with the creation and implementation of tools to support data capture, routine monitoring of data for completion and accuracy, communication with clinical research sites to coordinate data entry and response to database queries, preparation of data reports, and design and execution of statistical analyses to test research hypotheses.
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Apply statistical (descriptive, analytical, inferential) analysis and data mining techniques to generate real-world evidence and prediction systems (30%). Required Software and tools: Microsoft Office, SQL, Statistical programming tools (such as R, Python, or SAS.
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MD or Ph. D. or equivalent in medicine, public health, epidemiology, biostatistics, public policy, computerscience or other related field by the start date. Advanced experience in statistical programming languages such as SAS, R or Python.
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Experience with statistical packages is highly desired, e.g., SPSS, SAS, R, or STATA. Preferred degree in biostatistics, statistics, epidemiology, economics, mathematics, engineering, operations research, health informatics or related quantitative field from an elite institution, including Ivy League institutions, with a strong academic record.
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Knowledge of information technology, including statistical analysis, clinical epidemiology, and medical informatics; understanding best practices and how to successfully introduce information technology into clinical practice.
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At least 3 years (PhD) or 5 years (Master’s degree) of combined experience conducting data analysis using statistical software programs (e.g., R, STATA) and evidence syntheses of health-related research information and communicating this information in written health technology assessments, systematic reviews with or without meta-analyses, and oral presentations of these data.
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PhD in Statistical Genetics, Biostatistics, Biomedical Informatics, Computer Science, Bioinformatics, or closely related field, with expertise in method development and practical application. The GRC works across all R&D including discovery and clinical development, supporting all of AbbVie's therapeutic areas and multiple other functions such as process sciences, global epidemiology, search and evaluation, and corporate strategy.
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Doctorate in health services or other applied substantive area (e.g., criminology, economics, epidemiology, nursing, psychology, psychiatry, public health, social work, sociology); demonstrated experience in measurement, statistics, psychometric analyses, methodology, advanced qualitative analysis, or mixed methods analysis.
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Demonstrated experience in the analysis of Surveillance, Epidemiology, and End Results Program (SEER) and other cancer-related databases using statistical software such as SEER*Stat, SAS, Stata or R.
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Utilizes economics and statistical methods to understand and apply the basic principles of economics, statistics, and epidemiology to health care issues. Develops the ability to understand the importance of population health and the influence population health management has on a healthcare organization.
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This review process assures complete and accurate diagnostic and procedural coded data that supports compliant and accurate facility reimbursement, financial and strategic planning, outcome and statistical analyses, epidemiology/research work, and accurate reflection of patient mortality risk, severity of illness, quality of care, and patient safety measures.
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Strong understanding of healthcare quality measures, including NCQA HEDIS measures, measures derived from EHR and other standardized datasets, administrative data, and public health databases. Manage the process of NCQA certification for HEDIS measures, including data collection, submission, and validation.
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The Epidemiology and Evaluation Branch provides epidemiological, surveillance, and evaluation support to the Violence and Injury Prevention-Mental Health Promotion (VIP-MHP) Branch, the Office of Suicide Prevention, and the Office of Gun Violence Prevention in the Prevention Services Division (PSD.
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Data Visualization Tools: Tableau, Power BI, ggplot2 (in R) Proficiency in data manipulation, analysis, and visualization using tools such as SQL, Python, R, SAS, or similar. Business Intelligence Tools: Looker, Mode Analytics.
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