Clinical Analytics Specialist – MD

RX Brasil; Texas; On-site; USD 78,800 - 131,300; Full time

Benefits offered by this job

Annual incentive bonus

Job summary

LexisNexis Risk Solutions is looking for a Clinical Analytics Specialist (MD) to support clinical decision product development. The role includes data integration in a healthcare context and collaboration with various stakeholders to enhance the search experience for clinical products.

Must hold a clinical degree and possess strong skills in evidence-based medicine and data modeling. This position offers competitive salary and benefits, reflecting local market rates.

Qualifications

• Clinical degree required (MD, MBBS, GP).
• Experience in semantic technologies and data modeling.
• Excellent command of English; additional languages are a plus.

Responsibilities

• Apply clinical knowledge to extract and integrate data.
• Work with data scientists and clinicians for insights.
• Build machine-learning model training datasets.

Skills

Evidence-based medicine

Clinical research

Epidemiology

Biostatistics

Text mining

Ontology management

Microsoft Windows proficiency

MS Word skills

Tableau

Problem-solving

Education

Clinical degree (MD, MBBS, GP)

Tools

SNOMED CT

ICD-10

Electronic content management system

Job description

Clinical Analytics Specialist – MD

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.

Qualifications

• 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 and ontology management.
• Excellent command of the English language in both spoken and written forms; proficiency with additional languages is a plus.
• Experience with medical vocabularies such as SNOMED CT and ICD-10; knowledge of ontology modeling.
• Extensive computer skill competency, proficiency in a Microsoft Windows environment, strong MS Word/PowerPoint skills, and ability to work with templates using an electronic content management system.
• Visualization and dashboarding skills using Tableau is a plus.
• Demonstrated problem-solving ability, sense of urgency, and ability to prioritize tasks and work simultaneously on multiple projects, ensuring completion of editorial team projects per tight timelines.
• Clinician (MD, MBBS, or GP) with experience in informatics and knowledge retrieval.
• Ability to work with a variety of stakeholders at the mid and senior management level.

Responsibilities

• Apply clinical knowledge to extract and integrate data in a healthcare environment.
• Adapt domain ontologies for information extraction, data modeling, and analysis.
• Work closely with data scientists, clinicians, subject matter experts (SMEs), taxonomists, and data analysts to provide insights for automation and applications for our health markets business.
• Model, validate, and maintain core extracted clinical relationships to develop Elsevier’s healthcare knowledge graph (H-graph).
• Provide insights for ensuring high quality of automated indexing for search and discovery.
• Apply own domain knowledge and collaborate with external clinical experts to confirm and validate clinical accuracy of content.
• Ensure content is clinically accurate, current, and supported by the best available evidence from the medical literature, current guidelines, and accepted performance standards.
• Build domain-specific training data sets for machine-learning models used in point-of-care products.
• Generate predictive analytics and insights from combining large datasets in healthcare.
• Participate in design, prototyping, and analytics on a day-to-day basis to provide insights for algorithm codification that improves clinical workflows and content creation.

Benefits & Compensation

U.S. National Base Pay Range: $78,800 - $131,300. Geographic differentials may apply in some locations to better reflect local market rates. For Maryland, the base pay range is $82,800 - $137,800. For New York, $86,700 - $144,400. For New York City, $94,700 - $157,500. For Rochester, NY, $78,800 - $131,300. For New Jersey, $89,012 - $142,188. This job is eligible for an annual incentive bonus.

Equal Opportunity Employment

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. USA Job Seekers: EEO Know Your Rights.