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Technical and analytic capabilities in real world evidence as well as one or more of the following areas: economic modeling, economic evaluation, cost-effectiveness evaluation, patient focused outcomes, burden of disease, epidemiology, statistics, and health care policy.
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Advanced degree in public health (international health, epidemiology, biostatistics, population), statistics, research, economics, behavioural science, or related degree. Understanding of donor systems, structures and processes, e.g. UNITAID, Bill and Melinda Gates Foundation, and USAID.
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Minimum Qualifications Ph. D. in a Statistics, Biostatistics, Applied Mathematics, Epidemiology or other relevant area, and/or M.D., or equivalent and typically two years of exemplary postdoctoral experience.
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Related fields include physiology, anatomy, molecular biology, cell biology, embryology, pathology, genetics, pharmacology, histology, cytology, nuclear medicine, epidemiology, biostatistics, infection control, physics, statistics, and similar areas of science where the work is directly related to the position to be filled.
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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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PhD or equivalent in Statistics, Bioinformatics, Data Science, Epidemiology, Computer Science, Computer Engineering, or similar field. The ADVANCE Office of Faculty Development office works in conjunction with the Office of Research Development (ORD), the Office of Diversity, Equity, and Inclusion (ODEI), the Center for Advancing Teaching and Learning Through Research (CATLR), and University Decision Support (UDS) to provide programs and trainings to further develop and support a thriving faculty.
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Graduation from an accredited college or university with a master's degree in epidemiology, public health, biostatistics, statistics, or health informatics with experience equivalent to four year's work experience in epidemiology.
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Represent RWV&E on cross-functional teams with business partners, such as Real-World Analytics and Alliances, Marketing, Medical Affairs, Strategic Customer Group, Global Commercial Strategy Organization, Commercial Excellence, Epidemiology, Government Affairs and Policy, New Business Development and other Operating Companies, as needed.
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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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OSC/Lewin is seeking recent graduates of bachelor's programs in fields such as mathematics, statistics, computer science, data science, epidemiology, or other quantitative fields to fill junior statistician roles to assist state and federal administrations such as the Center for Medicare and Medicaid Services in evaluating and optimizing healthcare program operations through a combination of analytic and policy-driven research, modeling, and reporting.
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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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Bachelor's or Master's degree in Health Informatics, Statistics, Public Health, Epidemiology, or a related field. Bachelor's or Master's degree in Health Informatics, Statistics, Public Health, Epidemiology, or a related field.
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Statistical Software: SAS, R, Python. Strong understanding of healthcare quality measures, including NCQA HEDIS measures, measures derived from EHR and other standardized datasets, administrative data, and public health databases.
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Manage the process of NCQA certification for HEDIS measures, including data collection, submission, and validation. 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.
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Business Intelligence Tools: Looker, Mode Analytics. This individual will play a key role in analyzing, coding, and interpreting quality measures from various data sources, standardized and non-standardized datasets such as EHR, MDS, OASIS, and claims.
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