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LexisNexis® Risk Solutions provides customers with solutions and decision tools that combine public and industry specific content with advanced technology and analytics to assist them in evaluating and predicting risk and enhancing operational efficiency. We use the power of data and advanced analytics to help our customers make better, timelier decisions. By bringing clarity to information, we ultimately help make communities safer, insurance rates more accurate, commerce more transparent, business decisions easier and processes more efficient. You can learn more about LexisNexis Risk at the link below: LexisNexis Risk Solutions

Clinical Analytics Specialist – MD

Medical DirectorMedical DirectorFull TimeRemoteMid LevelTeam 1,001-5,000

Location

United States

Posted

20 hours ago

Salary

$78.8K - $157K / year

Seniority

Mid Level

Clinical InformaticsEvidence Based MedicineClinical ResearchEpidemiologyBiostatisticsOntology ManagementText MiningSNOMED CTICD 10Ontology ModelingMS WordPower PointTableauData ModelingClinical Data Analysis

Job Description

Clinical Analytics Specialist – MD

 

Are you a licensed MD look to help drive innovation within our global organization?
 

About the role. We are looking for an MD 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.  

 

 

Experience 

  • Clinical degree required (MD, MBBS,GP) Preference given to those with formal training or significant experience in evidence-based medicine, clinical research, epidemiology, biostatistics, and the application of evidence to practice. 
  • Experience in semantic technologies, including text mining, ontology management is a plus. 
  • Excellent command of the English language in both spoken and written forms is required and some level of proficiency with another language is a plus. 
  • Experience with medical vocabularies such as SNOMED CT and ICD-10 is beneficial, as is knowledge of ontology modeling. 
  • Extensive 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. Visualization and dashboarding skills (e.g. using Tableau) is a plus. 
  • Demonstrated problem-solving ability, sense of urgency, and ability to prioritize tasks, to work simultaneously on multiple projects, and to ensure completion of editorial team projects per tight timelines. 
  • The Clinical Analytics Specialist should be a clinician (MD, MBBS or GP) with experience in informatics and knowledge retrieval
  • Able to work with a variety of stakeholders at the mid and senior management level 

 

 

Responsibilities

  • Appling clinical knowledge to extract and integrate data in a healthcare environment. 
  • Adapting domain ontologies for information extraction, data modeling and analysis.   
  • Working closely with data scientists, clinicians, subject matter experts (SMEs), taxonomists, and data analysts to provide insights used in automation and applications for our businesses in health markets
  • Working on the modeling, validation, and maintenance of core extracted clinical relationships to deliver an evidence-based and development of Elsevier’s healthcare knowledge graph (H-graph). 
  • Providing insight for ensuring high quality of automated indexing for search & discovery.  
  • Appling 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. 
  • Building domain specific training data sets for machine learning (ML) models used in Point-of-care products 
  • Predictive analytics and insights from combining big datasets in healthcare 
  • Participating in design, prototyping, and analytics in their day to day providing insights for algorithm codification that will improve clinical workflows and content creation.

 

 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.

Furthermore, Elsevier offers tools and services to help researchers with tasks such as data management, article submission, and citation tracking. They also provide metrics and analytics to assess the impact and reach of scientific publications. Additionally, Elsevier hosts conferences and events to facilitate knowledge sharing and collaboration within the scientific community.

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.

We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.

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We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

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Job Requirements

  • Clinical degree required (MD, MBBS, GP)
  • Preference given to those with formal training or significant experience in: Evidence-based medicine
  • Clinical research
  • Epidemiology
  • Biostatistics
  • Application of evidence to practice
  • Experience in semantic technologies, including text mining and ontology management is a plus.
  • Excellent command of the English language in both spoken and written forms is required; proficiency with another language is a plus.
  • Experience with medical vocabularies such as SNOMED CT and ICD-10 is beneficial.
  • Knowledge of ontology modeling.
  • Extensive computer skill competency, including: Proficiency in a Microsoft Windows environment
  • Strong MS Word/PowerPoint skills
  • Ability to work with templates using an electronic content management system
  • Visualization and dashboarding skills (e.g., using Tableau) is a plus.
  • Demonstrated problem-solving ability, sense of urgency, and ability to prioritize tasks.
  • Able to work simultaneously on multiple projects and ensure completion of editorial team projects per tight timelines.
  • The Clinical Analytics Specialist should be a clinician (MD, MBBS or GP) with experience in informatics and knowledge retrieval.
  • Able to work with a variety of stakeholders at the mid and senior management level.

Benefits

  • Annual incentive bonus eligibility.
  • Country-specific benefits available.

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