MD - Clinical Data Analytics Specialist

Clinical Analytics Specialist – MD

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

out 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
• Work 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.