Medical Information & Data Structuring Specialist | $80,000–$95,000, DOE
About the Role: A nonprofit medical referral organization is looking for a highly organized, medically literate candidate to research, organize, classify, and structure complex medical information for their internal database and projects. Working closely with leadership, this person will support foundational medical information initiatives spanning research, terminology standardization, metadata tagging, and quality review.
Key Responsibilities:
Research & Medical Literacy
Read and interpret medical literature and other medical information sources
Apply familiarity with medical specialties and clinical terminology to project work
Conduct strong internet research, distinguishing reliable sources from weak ones
Data Organization & Structuring
Turn messy or unstructured information into clean, usable data
Organize, sort, filter, and format structured data with strong spreadsheet skills
Support terminology standardization, metadata tagging, and quality review
Tools & Collaboration
Use AI tools thoughtfully to support research, organization, and workflow efficiency, with careful source verification and human review
Work closely with leadership on foundational medical information projects
Apply thoughtful problem-solving within an internal framework
Qualifications:
Medical literacy — ability to read and interpret medical literature and other medical information sources
Familiarity with medical specialties and clinical terminology
Strong data literacy, including spreadsheet skills (sorting, filtering, formatting, organizing structured data)
Excellent attention to detail, accuracy, and consistency
Experience using AI tools thoughtfully, with careful source verification and human review
Ability to turn messy or unstructured information into clean, usable data
Strong internet research skills and ability to assess source reliability
Preferred Qualifications
Experience with health information management, clinical research, medical librarianship, taxonomy, data operations, or healthcare data projects
Strong understanding of medical specialties, subspecialties, diseases, procedures, treatments, and terminology relationships
Experience with CRM systems, Salesforce, structured databases, or controlled vocabularies
Exposure to metadata tagging, classification systems, taxonomies, or structured knowledge systems
Clinical background, advanced health-science training, or strong healthcare research experience combined with strong data skills
Backgrounds such as health information management, medical librarianship, clinical research, pre-med or health-science programs, public health, biology, neuroscience, healthcare data operations, or clinically experienced PA/NP/medical research environments
Interested? Send your resume to: Racheli@bhirednyc.com