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Prepare market reviews, integrating epidemiology, current and future treatment practices, current and future competitors, anticipated future events, and integrating primary marketing research results.
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Maintains a high level of understanding on disease epidemiology and treatment pathways and provides support, including protocol development, when needed, on various types of studies: long-term surveillance, compliance, pharmacovigilance, and effectiveness studies.
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A minimum of an MPH degree in Epidemiology, Doctor of Public Health (DrPH) degree or PHD in Epidemiology, M.D-M.P.H combination preferred. Master of Public Health (MPH) degree in Epidemiology, Biostatistics, or a closely related field.
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Master s degree in Epidemiology, Biostatistics, Computer Science, or other subject with high statistical content and a minimum of 4 years industry SAS statistical programming experience. Prior experience building patient cohorts and evaluating patient healthcare events in large databases (millions of records) and using observational research methods such as epidemiology and statistical methods is required.
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Required Education: Master’s degree in Data Science, Biostatistics, Epidemiology, Mathematics, Health Economics, Computer Science, Business Analytics, Informatics, or related field OR Doctorate (Ph. D.) in Data Science, Biostatistics, Epidemiology, Mathematics, Health Economics, Computer Science, Business Analytics, Informatics, or related field.
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Master's Degree in a quantitative discipline such as Epidemiology, Biostatistics, Economics, Statistics, Clinical Informatics, Mathematics, Data Science, Data Analysis and/or related fields. Become a part of our caring community and help us put health first.
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Apply statistical (descriptive, analytical, inferential) analysis and data mining techniques to generate real-world evidence and prediction systems for stand-alone projects or to be assimilated into production systems.
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Monitors disease epidemiology and provides support, including protocol development, when needed on various types of studies: long-term surveillance, compliance, pharmacovigilance, and effectiveness studies.
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Call on and secure relationships with senior leadership in Epidemiology, Primary and Secondary Research, Medical Affairs, Value and Evidence, HEOR, Marketing, Brand Management, Product Management, Managed Markets, Market Access, Data Analytics, and other areas within organizations.
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Able to operate independently (with minimal supervision) and navigate complex regulatory environments in person and via digital channels from remote (non-office based) environment. The Mission of Sanofi's MSL Team and the Medical Science Liaison is to be the trusted scientific partners in the field for external experts and decision-makers engaging in mutual scientific exchanges to accelerate data dissemination.
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Position Description Advertised Job Summary The University of South Carolina (USC) Arnold School of Public Health seeks applicants for a Clinical (Instructional) Assistant or Associate Professor position focused on teaching and mentoring graduate students in our Master of Public Health (MPH) degree programs (epidemiology; health promotion, education, and behavior; health services policy and management; and physical activity and public health.
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Master's Degree in Biostatistics, Epidemiology, Statistics, or related field. Master's Degree in Biostatistics, Epidemiology, Statistics, or related field. Master's Degree in Biostatistics, Epidemiology, Statistics, or related field.
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Required Software and tools: Microsoft Office, SQL, Statistical programming tools (such as R, Python, or SAS) BlueCross BlueShield of South Carolina and our subsidiary companies maintain a continuing policy of nondiscrimination in employment to promote employment opportunities for persons regardless of age, race, color, national origin, sex, religion, veteran status, disability, weight, sexual orientation, gender identity, genetic information or any other legally protected status.
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During the first year, new HSAG analysts are provided formal internal training in statistics, machine learning, clinical epidemiology, SAS, Tableau, healthcare data, and an assortment of healthcare-related topics.
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