Medical Information & Data Structuring Specialist - 2306
Medical Information & Data Structuring Specialist - 2306
Posted 12 days ago
SENIORITY
Senior
About the role
- 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
- 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
- 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
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
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