Fast Facts

Seeking a Licensed RN to join Elsevier as a Clinical Analytics Specialist, focusing on enhancing clinical decision support through data integration and analysis.

Responsibilities: Key responsibilities include applying clinical knowledge to data extraction, improving automated indexing quality, and collaborating with clinicians to ensure content accuracy.

Skills: Candidates should have a strong healthcare background, expertise in nursing education, familiarity with medical vocabularies, and high competency in computer skills including MS Office.

Qualifications: Preferred qualifications include a Master's degree or PhD in nursing, teaching experience, and knowledge of the Clinical Judgment Measurement Model and NCLEX® changes.

Location: Home based in Texas, USA with potential geographic differentials.

Compensation: $78800 - $131300 / Annually

Are you a licensed RN looking to help drive innovation within our global organization?

About the role. We are looking for a Licensed RN to serve as our Clinical Analytics Specialist to join the Data Discovery and Enrichment Team (DDE). The Clinical Analytics Specialist will provide support for clinical decision support (CDS) product development to improve the search and discovery experience for users of products such as ClinicalKey at the point-of-care. You will have a critical role in working with the Clinical Solutions and Education business units to provide clinical analytics support and drive growth, revenue generation, and innovation. 

About the team. This team is entrusted with the validation of extracted medical information from Elsevier corpus and electronic health care records, information retrieval, creating data for gold set generation, and participating in content enrichment workflows aiding in clinical decision support.  

Qualifications

• Be a licensed, board-certified RN, masters-trained or similarly qualified nurse instructor with significant teaching experience. Advanced education credentials/PhD preferred.
• Have experience with teaching as well as a passion for experimenting with emerging learning modalities in the field of nursing education. Have subject matter expertise in multiple nursing education domains
• Demonstrate understanding of issues impacting the U.S. healthcare system, health information technology/informatics, interprofessional education/collaboration, and a working knowledge of national, and where applicable international, taxonomies, standards and guidelines affecting the delivery of healthcare education.
• Demonstrate deep understanding of Clinical Judgment Measurement Model in nursing education and changes made to the NCLEX® exam test plan.
• Have prior experience writing, implementing, and/or facilitating Simulated Clinical Experiences (SCEs) for undergraduate, PN-to-RN or RN-to-BSN nursing students in a dedicated clinical simulation education setting.
• Familiarity with the growing influence of GAI models/tools both for content generation and student/faculty support purposes.
• Possess excellent team-building skills for SME recruitment/retention and ability to motivate team to continuously improve performance.
• Be able to successfully partner with a large network of content vendors and contract SMEs to support delivery/execution of Sherpath courses and other digital learning content.
• Experience with medical vocabularies such as SNOMED CT and ICD-10 is beneficial, as is knowledge of ontology modeling. 
• High computer skill competency. Proficiency in a Microsoft Windows environment; and strong MS Word/Powerpoint skills and ability to work with templates using an electronic content management system.

Responsibilities :  

• Apply clinical knowledge to extract and integrate data in a healthcare environment.
• Adapt domain ontologies for information extraction, data modeling and analysis.   Provide insight for ensuring high quality of automated indexing for search & discovery.  
• Apply own domain knowledge and work with external clinical experts to confirm and validate clinical accuracy of content. Ensure that content is clinically accurate, current, and supported by the best available evidence from the medical literature, current guidelines, and accepted performance standards. 
• Build domain specific training data sets for machine learning (ML) models used in Point-of-care products 
• Utilize predictive analytics and insights from combining big datasets in healthcare 

Elsevier is a renowned global information analytics company that primarily focuses on providing scientific, technical, and medical (STM) research content, tools, and services. It is one of the largest publishers of academic journals and scholarly literature in the world.

Elsevier operates in various domains, including science, technology, medicine, social sciences, and more. They publish a vast number of peer-reviewed journals covering a wide range of disciplines. These journals act as platforms for researchers and academics to share their findings and contribute to the advancement of knowledge in their respective fields.

In addition to publishing, Elsevier offers a suite of digital solutions and services to support researchers, scientists, and professionals in their work. They provide online platforms like ScienceDirect, Scopus, and Mendeley, which offer access to a vast repository of scholarly articles, research papers, and other scientific content. These platforms often serve as essential resources for software developers seeking to stay updated with the latest scientific advancements.

U.S. National Base Pay Range: $78,800 - $131,300. Geographic differentials may apply in some locations to better reflect local market rates. If performed in Maryland, the base pay range is $82,800 - $137,800.If performed in New York, the base pay range is $86,700 - $144,400.If performed in New York City, the base pay range is $94,700 - $157,500.If performed in Rochester, NY, the base pay range is $78,800 - $131,300.If performed in New Jersey, the base pay range is $89,012 - $142,188. This job is eligible for an annual incentive bonus.

We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.

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