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Medical Information Assistant

Job in New York, New York County, New York, 10261, USA
Listing for: Sbhonline
Full Time, Part Time position
Listed on 2026-09-20
Job specializations:
  • IT/Tech
    Data Entry
Salary/Wage Range or Industry Benchmark: 50000 - 70000 USD Yearly USD 50000.00 70000.00 YEAR
Job Description & How to Apply Below
Location: New York

Medical Information Assistant / Specialist

Location: Brooklyn, NY or Hybrid
Employment Type: Full-Time / Part-Time (20–40 Hours/Week)
Schedule: Monday through Friday, Standard Business Hours
Salary: Based on Experience

Description

An organization is seeking a highly organized Medical Information Assistant / Specialist to support the structuring, verification, and standardization of medical data. This is a desk-based, detail-driven role focused on translating complex medical information into accurate, organized formats that support internal systems and workflows.

The ideal candidate has a strong understanding of medical terminology, excellent attention to detail, and the ability to work independently within evolving processes.

What You’ll Do
  • Transcribe, digitize, and structure information from digital and paper-based sources (including scanning and OCR)
  • Apply consistent file naming conventions and maintain organized digital storage systems
  • Conduct internet-based research to gather and verify medical information
  • Validate data using authoritative sources and flag discrepancies
  • Enter and maintain accurate data within spreadsheets and CRM systems
  • Assist in standardizing terminology, including identifying equivalent or synonymous terms
  • Support ongoing data organization and system improvement efforts
Requirements
  • Strong organizational skills and attention to detail
  • Familiarity with medical specialties and clinical terminology
  • Proficiency in Excel and/or Google Sheets
  • Experience working with CRM systems or structured data environments
  • Ability to work independently with sustained focus in a desk-based role
Preferred Qualifications
  • Experience digitizing documents or working with OCR tools
  • Exposure to automation, scripting, or workflow optimization
  • Background in healthcare operations, medical research, or data management
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