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)
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

This job is eligible for an annual incentive bonus.
We are delighted to offer country specific benefits.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

evidence-based medicineclinical researchepidemiologybiostatisticssemantic technologiestext miningontology managementmedical vocabulariesontology modelingmachine learning

Soft Skills

problem-solvingsense of urgencyprioritizationcommunicationcollaborationadaptabilityinsight generationproject managementstakeholder engagementteamwork

Certifications

MDMBBSGP