Clinical Analytics Specialist - MD
location_onRemote
Job Description
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.
About Elsevier Overview
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.
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.
Our Purpose
RELX is a global provider of information-based analytics and decision tools for professional and business customers, enabling them to make better decisions, get better results and be more productive.
Our purpose is to benefit society by developing products that help researchers advance scientific knowledge; doctors and nurses improve the lives of patients; lawyers promote the rule of law and achieve justice and fair results for their clients; businesses and governments prevent fraud; consumers access financial services and get fair prices on insurance; and customers learn about markets and complete transactions.
Our purpose guides our actions beyond the products that we develop. It defines us as a company. Every day across RELX our employees are inspired to undertake initiatives that make unique contributions to society and the communities in which we operate.
Equal Opportunity
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.
Work location
Work model: Remote
Remote
Key Responsibilities
- check_circleApply clinical knowledge to extract and integrate data in a healthcare environment
- check_circleAdapt domain ontologies for information extraction
- check_circleWork with data scientists
- check_circleModel
- check_circleProvide insight for ensuring high quality of automated indexing for search & discovery
- check_circleBuild domain specific training
- check_circleValidate clinical accuracy
- check_circleParticipate in design
Requirements
- verifiedClinical degree required (MD, MBBS, GP MBBS)
- verifiedExperience in evidence-based medicine clinical research epidemiology biostatistics
- verifiedExperience in informatics and knowledge retrieval
- verifiedExperience semantic technologies text mining ontology management
- verified Proficiency in Microsoft Windows MS Word PowerPoint
- verified Experience with medical vocabularies SNOMED CT ICD-10
- verified Visualization and dashboarding skills Tableau
- verified Excellent command of English language
Skills, education and keywords
Skills: machine learning, text mining, ontology management, data analysis, predictive analytics, data modeling, information extraction, knowledge retrieval, tableau.
Education: Clinical degree required (MD, MBBS, GP).