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Masters or Ph. D. in health services research, public health, public policy, epidemiology, economics, statistics, or related field with 8+ years of experience in a research, consulting, or business environment OR Bachelor's degree and 10+ years of experience.
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Work with consulting teams and data scientists to design and execute data-driven projects, such as market sizing/ segmentation, provider profiling/targeting, provider affiliation mapping, epidemiology studies, managed care analytics, pull-through modeling / program design, forecasting, field force design, and incentive comp.
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Candidates and Postdocs with a background in Food Science, Biology, Chemistry, Biochemistry, Toxicology, Epidemiology, or related fields – Submit a CV. candidates and Postdocs with a background in Food Science, Biology, Chemistry, Biochemistry, Toxicology, Epidemiology, or related fields – Submit a CV.
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Specifically for this listing, we are seeking a Senior Health Informatics Data Scientist with a PhD in Biopsychology, Epidemiology, or a related field and 15+ years of experience. PhD in Biopsychology, Epidemiology, or a related field as focused above.
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Will use the nursing process to assess, plan, implement and evaluate infection prevention processes across the organization.
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Technical Expertise:· Technical: Extensive expertise at a decision-making level in vaccine preventable diseases, public health, epidemiology, global health, and resource mobilization; experience working with national and international immunization or disease control programs, extensive knowledge of public health problems and cost-effective interventions for eliminating and controlling vaccine preventable diseases, including monitoring and performance assessment in the health or social sector.
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A graduate degree in epidemiology, public health, public administration, health economics, or a relevant discipline, or equivalent relevant work experience. Positions designated as fully remote are exempt from the attestation requirement unless and until such time as an in-office presence is required.
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Expertise in epidemiology, biostatistics, implementation science or other aspects of public health. Understanding of laboratory techniques in infectious diseases in at least one of the following areas (more are preferred): PCR, sequencing, serology, microbiology, clinical virology.
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Education and Experience: The following are desirable levels of experience: Bachelor’s in Public Health, Epidemiology, Health Sciences, Allied Sciences, or related field appropriate to the work of the position.
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Ph. D. in Sociology, Public Health, Health Services, Psychology, Epidemiology, or related field. Master's Degree in Sociology, Public Health, Health Services, Psychology, Epidemiology, or related field.
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Advanced degree in epidemiology, biostatistics, economics, mathematics, data science, or equivalent. We are looking for a highly motivated real world evidence (RWE) Lead of Data Science who has experience in generating insights/evidence from claims and EHR real world data (RWD) to join our growing Toronto-based RWE analytics team at Clarivate.
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Experience with scientific data in at least one of the following fields or closely related fields: epidemiology, environmental science, toxicology, and chemistry; Development of ISAs to draw conclusions on the health effects related to ambient air pollution exposure includes the identification, evaluation, and integration of evidence from the peer-reviewed literature, particularly from epidemiology, controlled human exposure, and animal toxicological studies.
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The Real World Evidence & Analytics team is a small growing team of experienced professionals who service pharmaceutical clients with their data needs through modelling, statistics, and study design. Work with the Sr. Director and other leads to provide "white-glove" analytics consulting services, defining client needs and ensuring client satisfaction through on-time delivery of high-quality services.
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DVM or advanced degree in a related field such as animal science, immunology, vaccinology, pharmacology, epidemiology, or public health. DVM or advanced degree in a related field such as animal science, immunology, vaccinology, pharmacology, epidemiology, or public health.
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Apply machine learning, econometrics/statistics, predictive modeling, return-on-investment analysis, simulation, and data visualization methods to support the development of health policy. Experience applying econometrics/statistics, predictive modeling, simulation, and data visualization methods to support the development of health policy.
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epidemiology job in Alexandria, VA
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