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Entry Level Remote Medical Records Analyst Jobs in Colorado

S3 Shared Services

Fraud Analyst

Englewood, CO · Remote

$52K - $60K/yr

Fraud Analyst - Remote / Colorado Applicants only Salary range: $52,000 to $60,000 annually The ... Group medical, dental, and vision coverage insurance * Generous Paid Time Off * Up to 11 Paid ...

S3 Shared Services

Fraud Analyst

Englewood, CO · Remote

$52K - $60K/yr

Fraud Analyst - Remote / Colorado Applicants only Salary range: $52,000 to $60,000 annually The ... Group medical, dental, and vision coverage insurance Generous Paid Time Off Up to 11 Paid Holidays ...

micro1 AI

Senior Counsel - Remote

Lakewood, CO · Remote

$140 - $400/hr

Scope of Work * Conduct comprehensive legal analysis on a variety of US law topics, providing ... Track record of successful remote collaboration and participation in multidisciplinary projects.

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Entry Level Remote Medical Records Analyst information

What is the difference between Entry Level Remote Medical Records Analyst vs Entry Level Remote Medical Coding Specialist?

AspectEntry Level Remote Medical Records AnalystEntry Level Remote Medical Coding Specialist
CredentialsHigh school diploma or equivalent; certification in medical records management (optional)High school diploma; certification in medical coding (e.g., CPC)
Work EnvironmentRemote, healthcare facilities, insurance companiesRemote, healthcare providers, insurance companies
Job FocusManaging and organizing patient records, data entryAssigning medical codes to diagnoses and procedures
Common TasksData entry, record review, data accuracyReviewing medical documentation, coding diagnoses and procedures

Both roles are entry-level, remote healthcare positions that require attention to detail. The Medical Records Analyst focuses on managing and organizing patient data, while the Medical Coding Specialist specializes in translating medical information into standardized codes. Understanding these differences helps job seekers choose the right path based on their skills and career goals.

How to become an entry level remote medical records analyst?

To become an entry-level remote medical records analyst, candidates typically need a high school diploma or equivalent, with some roles preferring an associate degree in health information technology or a related field. Familiarity with electronic health record (EHR) systems, attention to detail, and basic knowledge of medical terminology are important, and certifications like the Certified Health Data Analyst (CHDA) can enhance job prospects. Strong organizational skills and the ability to work independently are also valuable for remote positions.

Can an entry level remote medical records analyst be a remote job?

Yes, an entry level remote medical records analyst position is typically a remote job, allowing work from home or other locations outside of an office. These roles often require skills in electronic health record systems, data entry, and attention to detail, and may involve flexible schedules depending on the employer.
What are popular job titles related to Entry Level Remote Medical Records Analyst jobs in Colorado? For Entry Level Remote Medical Records Analyst jobs in Colorado, the most frequently searched job titles are:
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Entry Level Remote Medical Records Analyst jobs near you

Medical Microbiology Consultant - Remote

micro1 AI

Boulder, CO • Remote

$70 - $90/hr

Part-time

Posted 13 days ago

Job description

Role Title: Microbiologist


Role Type: Contractor


Location: Remote


micro1 is engaging Microbiologists to contribute their scientific expertise to a unique customer project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Key Responsibilities:

  1. Investigate and analyze the development, morphology, and behavior of microscopic organisms including bacteria, fungi, and algae.
  2. Contribute to the study of the relationship between microorganisms and disease, supporting projects involving medical microbiology.
  3. Assess the impact of antibiotics and other agents on microbial populations, providing insights for AI model accuracy.
  4. Document experimental findings and processes with a focus on clarity for AI training data.
  5. Collaborate with interdisciplinary teams to ensure scientific rigor and data integrity in AI development.
  6. Provide written and verbal expertise on microbiological phenomena and their relevance to real-world and computational contexts.
  7. Utilize rubrics and established evaluation criteria to assess data quality and support AI training workflows.


Required Skills and Qualifications:

  1. Bachelor’s degree or higher in Biology, Microbiology, Chemistry, or a related field.
  2. Extensive knowledge of bacterial, fungal, and algal systems.
  3. Demonstrated expertise in investigating microbial structure and physiology.
  4. Strong written and verbal communication skills for technical and interdisciplinary collaboration.
  5. Ability to document processes and findings clearly for integration into AI systems.
  6. Comfort working independently in a fully remote, digital-first environment.
  7. Attention to detail and commitment to scientific accuracy.


Preferred Qualifications:

  1. Prior experience developing or applying rubrics in scientific or educational contexts.
  2. Experience with AI, machine learning, or annotation projects related to biology or microbiology.
  3. Advanced degree (Master’s or PhD) in a relevant field.

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