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Experience with advanced knowledge of psychometrics, econometrics, and biometrics such as validation of health measurement scales, longitudinal data analysis, missing data methods, multiple comparisons techniques, cost-effectiveness analysis, generalized linear models, meta-analysis, real-world data analysis, and conjoint analysis.
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ROLE SUMMARYProvide statistical leadership and technical support for Pfizer projects involving health economics and outcomes research (HEOR). Enhance statistical expertise in value-based drug development among Pfizer HEOR scientists, statisticians, and clinicians through active engagement and leadership in research methodology and content-specific areas.
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Provide computational and statistical advice on complex analytic issues supporting Pfizer’s HEOR projects. The emphasis will be on sound statistical applications to patient-focused drug development and health technology assessment (HTA.
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Accountable for working closely with Shionogi Biometrics, Data Management, Pharmacovigilance and the CRO (when appropriate) to complete data management and bio-statistical analysis and oversee adherence to study timelines and data quality.
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A Master's degree in ecotoxicology, ecology, statistics, biometrics, (or closely allied field) with emphasis on statistical tools required to analyze temporal and spatial data. A Doctoral degree with a major in ecotoxicology, ecology, statistics, biometrics, or related fields such as natural resource studies, environmental studies, or ecological modeling.
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Examples of creditable courses include forest biometrics, forest mensuration, forest valuation, statistical analysis of forest resource data, renewable natural resources inventories and analysis, and photogrammetry or remote sensing.
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Examples of creditable courses in this area include silviculture, forest management operations, timber management, wildland fire science or fire management, utilization of forest resources, forest regulation, recreational land management, watershed management, and wildlife or range habitat management.
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Examples of creditable courses in this area include dendrology, forest ecology, silvics, forest genetics, wood structure and properties, forest soils, forest entomology, and forest pathology. The USDA Forest Service has legislative authority to recruit and fill Permanent (Career/Career-Conditional), Temporary, and Term Appointments under the USDA Demonstration Project.
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Determine sale boundaries, proper location of logging roads, acceptable marking and cutting methods, stumpage prices, and the requirements for brush disposal, erosion control, and stand improvement in accordance with agency directives.
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This is a unique opportunity for an experienced biostatistician/ stat programmer people leader to join the Scientific Insights & Analytics group (Biometrics & Scientific Communications) in the Surgical Structural Heart Valve business unit to support various global medical and clinical activities.
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Prepare and ensure quality documentation such as detailed maps, advertisements, prospectus, and sample contracts in support of timber sale and harvest activities. USDA Forest Service HRM Contact Center.
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Monitor and oversee cruising and marking of timber in support of timber harvest activities. Forest Service daycare facilities may be available. The Forest Service may use certain incentives and hiring flexibilities, currently offered by the Federal government, to attract highly qualified candidates.
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Please view Tips for Applicants - a guide to the Forest Service application process. Forest Biology: study of the classification, distribution, characteristics, and identification of forest vegetation, and the interrelationships of living organisms to the forest environment.
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This open and continuous announcement provides the Forest Service with a readily available source of applicants when vacancies occur. Complete environmental assessment reports and environmental impact statements in accordance with National Environmental Policy Act (NEPA.
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Participate in data review along with biostatistics and statistical programming team. The Director, Clinical Data Management (CDM), will provide data management support to clinical studies within the Biometrics function, and would be responsible for all CDM related areas/activities for clinical studies assigned.
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