Elsevier
Clinical Analytics Specialist – MD
Texas, USA · Senior
Stay score
odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~30% per draw at Level II). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
$14,426 more — $93,226 — moves this role to Level II and 2 lottery entries. That figure is inside the range the employer already advertised.
Based on the DOL prevailing wage for this occupation and worksite, a base salary of $93,226 would place this position at wage Level II. That figure is within the posted range, and I'd like to target it. This role classifies under "Data Scientists" for prevailing-wage purposes.
DOL prevailing wage, 2026-27 wage year · Data Scientists (15-2051) · Houston-Pasadena-The Woodlands, TX. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
Employer immigration record
from this employer's Department of Labor filings
Green-card intent detected
Files H-1B transfers
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
Community outcomes
No reports yet — be the first to help the next applicant.
About the role
- 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.
Responsibilities
- Participating in design, prototyping, and analytics in their day to day providing insights for algorithm codification that will improve clinical workflows and content creation.
- In addition to publishing, Elsevier offers a suite of digital solutions and services to support researchers, scientists, and professionals in their work.
- Appling own domain knowledge and work with external clinical experts to confirm and validate clinical accuracy of content.
Requirements
- 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.
- Proficiency in a Microsoft Windows environment; and strong MS Word/Powerpoint skills and ability to work with templates using an electronic content management system.
Compensation
- $78,800 - $131,300.
Benefits
- Experience with medical vocabularies such as SNOMED CT and ICD-10 is beneficial, as is knowledge of ontology modeling.
- Appling clinical knowledge to extract and integrate data in a healthcare environment.
- 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).
- Ensure that content is clinically accurate, current, and supported by the best available evidence from the medical literature, current guidelines, and accepted performance standards.
Company info
- We are looking for an MD to serve as our Clinical Analytics Specialist to join the Data Discovery and Enrichment Team (DDE).
- We are committed to providing a fair and accessible hiring process.
Equal opportunity
- EEO Know Your Rights.
Visa & Work Authorization
- 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 orientat
This listing is sourced directly from Elsevier's careers page and normalized into a canonical job model.