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.
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.
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 c
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, 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
Benefits
Health insurance
Additional Information
Clinical Analytics Specialist - MD
Are you a licensed MD looking 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.
Relx · TX