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У роли понятный исследовательский фокус, актуальные аналитические задачи и зарплата выше рыночного ориентира, но очень широкий диапазон затрудняет оценку конкретного предложения.
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Широкий диапазонПонятные задачиАктуальная аналитикаМедицина и наука
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Epidemiology Research Associate II, Injury Surveillance & Analytics (Observational Research/Data Science): Managing and curating datasets, quality processes, automated reports, and analytics for injury surveillance, monitoring, program evaluation, and intervention effectiveness studies with an accent on epidemiological methods, data governance, and automation. Focus on building fit-for-purpose datasets, incorporating AI into repeatable workflows, and producing high-quality scientific reports and client deliverables.
Location: Durham, North Carolina, United States of America
Salary: $89,400–$223,600 annualized base pay
Company
IQVIA provides clinical research services, commercial insights, and healthcare intelligence for the life sciences and healthcare industries.
What you will do
Lead data management, data quality control, cleaning, curation, and organization for client projects.
Build and manage automated reports, data listings, and repeatable workflow tasks.
Support rapid analytics for injury surveillance, monitoring, program evaluation, protocol evolution, and intervention effectiveness studies.
Create datasets from complex existing and fit-for-purpose data sources.
Prepare study documents, analytic reports, client presentations, proposals, and final deliverables.
Support project management, scientific research questions, best-practice development, and internal team initiatives.
Requirements
Bachelor's degree with three years of relevant education and experience, or a master's degree in public health, epidemiology, data science, biostatistics, outcomes research, health economics, or a related scientific field with one year of relevant experience.
Methodological training in epidemiology, biostatistics, outcomes research, data science, or a related area relevant to observational research.
Proficiency in SAS or R; familiarity with Python is preferred.
Experience incorporating AI or other technologies to automate and streamline processes.
Strong attention to detail, critical thinking, communication, prioritization, and independent work skills.
Proficiency with Microsoft Office and the ability to collaborate effectively in a global, matrixed environment.
Culture & Benefits
Work in a multidisciplinary and cross-functional research environment.
Collaborate with internal teams, managers, and clients on healthcare and life sciences projects.
Health and welfare benefits may be provided in addition to base pay.
Incentive plans, bonuses, or other compensation may be offered depending on the position.
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