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Registered Nurse - Clinical Analytics Expert
Jobs
#703744
Full Time
Job Description
Are you a licensed RN eager to lead innovation within a global organization?
We are seeking a passionate Licensed RN to join our Data Discovery and Enrichment Team (DDE) as a Clinical Analytics Expert. In this role, you will support clinical decision support (CDS) product development, enhancing the user experience for essential tools like ClinicalKey at the point-of-care. Your contributions will be vital in collaborating with our Clinical Solutions and Education business units to provide clinical analytics support, foster growth, and inspire innovation.
Join a team that plays a key role in validating extracted medical information from extensive Elsevier databases and electronic health records, while engaging in information retrieval and clinical decision support content enrichment.
Qualifications:
• Licensed, board-certified RN with a master's degree or equivalent qualifications; advanced degrees such as a PhD are preferred.
• Experience in teaching with a strong interest in employing innovative learning modalities in nursing education across diverse domains.
• In-depth understanding of the U.S. healthcare system, health information technology, interprofessional collaboration, and familiarity with national and international healthcare education standards.
• Comprehensive knowledge of the Clinical Judgment Measurement Model in nursing education and NCLEX® exam updates.
• Previous experience designing and facilitating Simulated Clinical Experiences (SCEs) for nursing students in both undergraduate and advanced pathways.
• Awareness of the impact of Generative AI tools for content creation and faculty/student support.
• Strong team-building skills to recruit and retain subject matter experts while motivating the team towards continuous improvement.
• Ability to partner effectively with a broad network of content vendors and contract SMEs to enhance digital learning content.
• Familiarity with medical vocabularies like SNOMED CT and ICD-10, as well as knowledge in ontology modeling is advantageous.
• High competency in computer skills, particularly within a Microsoft Windows environment, and proficiency in MS Word and PowerPoint to manage electronic content effectively.
Responsibilities:
• Utilize clinical knowledge to extract and integrate data within a healthcare setting.
• Adapt ontologies for efficient information extraction, data modeling, and analytics, ensuring top-notch automated indexing for search and discovery.
• Leverage domain expertise and collaborate with clinical experts to verify the clinical precision of content, guaranteeing it aligns with the latest evidence and performance standards.
• Create domain-specific training datasets for machine learning models deployed in Point-of-care products.
• Apply predictive analytics and insights derived from analyzing large healthcare datasets.
As a part of Elsevier, a leading global information analytics company, you will contribute to essential advancements in scientific research and medical education. Join us in our mission to improve healthcare education and contribute to society.
The base pay range for this position typically falls between $78,800 - $131,300, with adjustments based on geographic location. Specific rates apply in Maryland, New York, New York City, Rochester, NY, and New Jersey.
This position is eligible for an annual bonus and offers competitive benefits tailored to your location.
We are dedicated to providing an equitable hiring process. If you require accommodations, please inform us during the application process.
At Elsevier, we uphold equal employment opportunities for all applicants, encouraging individuals from diverse backgrounds to apply.
We are seeking a passionate Licensed RN to join our Data Discovery and Enrichment Team (DDE) as a Clinical Analytics Expert. In this role, you will support clinical decision support (CDS) product development, enhancing the user experience for essential tools like ClinicalKey at the point-of-care. Your contributions will be vital in collaborating with our Clinical Solutions and Education business units to provide clinical analytics support, foster growth, and inspire innovation.
Join a team that plays a key role in validating extracted medical information from extensive Elsevier databases and electronic health records, while engaging in information retrieval and clinical decision support content enrichment.
Qualifications:
• Licensed, board-certified RN with a master's degree or equivalent qualifications; advanced degrees such as a PhD are preferred.
• Experience in teaching with a strong interest in employing innovative learning modalities in nursing education across diverse domains.
• In-depth understanding of the U.S. healthcare system, health information technology, interprofessional collaboration, and familiarity with national and international healthcare education standards.
• Comprehensive knowledge of the Clinical Judgment Measurement Model in nursing education and NCLEX® exam updates.
• Previous experience designing and facilitating Simulated Clinical Experiences (SCEs) for nursing students in both undergraduate and advanced pathways.
• Awareness of the impact of Generative AI tools for content creation and faculty/student support.
• Strong team-building skills to recruit and retain subject matter experts while motivating the team towards continuous improvement.
• Ability to partner effectively with a broad network of content vendors and contract SMEs to enhance digital learning content.
• Familiarity with medical vocabularies like SNOMED CT and ICD-10, as well as knowledge in ontology modeling is advantageous.
• High competency in computer skills, particularly within a Microsoft Windows environment, and proficiency in MS Word and PowerPoint to manage electronic content effectively.
Responsibilities:
• Utilize clinical knowledge to extract and integrate data within a healthcare setting.
• Adapt ontologies for efficient information extraction, data modeling, and analytics, ensuring top-notch automated indexing for search and discovery.
• Leverage domain expertise and collaborate with clinical experts to verify the clinical precision of content, guaranteeing it aligns with the latest evidence and performance standards.
• Create domain-specific training datasets for machine learning models deployed in Point-of-care products.
• Apply predictive analytics and insights derived from analyzing large healthcare datasets.
As a part of Elsevier, a leading global information analytics company, you will contribute to essential advancements in scientific research and medical education. Join us in our mission to improve healthcare education and contribute to society.
The base pay range for this position typically falls between $78,800 - $131,300, with adjustments based on geographic location. Specific rates apply in Maryland, New York, New York City, Rochester, NY, and New Jersey.
This position is eligible for an annual bonus and offers competitive benefits tailored to your location.
We are dedicated to providing an equitable hiring process. If you require accommodations, please inform us during the application process.
At Elsevier, we uphold equal employment opportunities for all applicants, encouraging individuals from diverse backgrounds to apply.
