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Join Elsevier as a Clinical Analytics Specialist where you will leverage your medical expertise to drive clinical decision support product development and enhance user experience for healthcare professionals. 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.
Job Responsibility:
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
Requirements:
Clinical degree required (MD, MBBS, GP)
Formal training or significant experience in evidence-based medicine, clinical research, epidemiology, biostatistics, and the application of evidence to practice
Excellent command of the English language in both spoken and written forms
Proficiency in a Microsoft Windows environment
Strong MS Word/Powerpoint skills and ability to work with templates using an electronic content management system
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
Able to work with a variety of stakeholders at the mid and senior management level
Nice to have:
Experience in semantic technologies, including text mining, ontology management
Some level of proficiency with another language
Experience with medical vocabularies such as SNOMED CT and ICD-10
Knowledge of ontology modeling
Visualization and dashboarding skills (e.g. using Tableau)