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Medical Data Jobs (NOW HIRING)

EMMC, Inc

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Military Medical Data Analyst

San Diego, CA · Remote

$93K - $114K/yr

The responsibilities of this position include, but are not limited to: · Reviewing medical data used within the NHRC software for accuracy · Updating supply collections associated with patient ...

M.I.N.D

Medical Data Entry Clerk

Farmington, MI · On-site

$18 - $20/hr

-Medical Data Entry Clerk Classification - FSLA - Non-Exempt - hourly Salary Grade/Level/Range Level of experience, longevity, within current company pay structure. Reports to Revenue Cycle Manager ...

Ripple Effect

$141.80K - $160K/yr

Ripple Effect is seeking an experienced Defense Medical Data Architect to support the Defense Health Agency (DHA) Medical Logistics (MEDLOG) Directorate. This senior technical role serves as a key ...

Back Bay Staffing Group

Data Entry

Boston, MA · On-site

$18.50 - $24.75/hr

Medical Data Entry Position Data entry person is needed to work in a medical environment located in a southern Boston neighborhood. Position offers full-time hours but only three days a week. Pay up ...

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$37

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How much do medical data jobs pay per hour?

As of May 28, 2026, the average hourly pay for medical data in the United States is $37.33, according to ZipRecruiter salary data. Most workers in this role earn between $24.28 and $38.46 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Medical Data Analyst, and why are they important?

To thrive as a Medical Data Analyst, you need strong analytical skills, a background in statistics or health informatics, and often a relevant degree such as in health information management or data science. Familiarity with data analysis tools like SQL, Python, R, and healthcare-specific systems such as EHRs and HIPAA compliance is typically required. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and conveying insights to stakeholders. These competencies are vital for ensuring accurate analysis, supporting clinical decision-making, and maintaining data security in healthcare environments.

What are some common challenges faced by professionals working in medical data roles, and how can they be addressed?

Professionals in medical data roles often encounter challenges such as ensuring data accuracy, maintaining patient privacy, and keeping up with evolving healthcare regulations. Managing large datasets from multiple sources can also present difficulties with integration and standardization. Staying current with industry best practices, using advanced data management tools, and participating in ongoing training can help address these challenges. Additionally, collaborating closely with clinical teams and IT specialists can streamline workflows and enhance data quality.

What are medical data specialists?

Medical data specialists are professionals who manage, analyze, and interpret healthcare-related data to support clinical decision-making, research, and administrative processes. They ensure the accuracy, confidentiality, and security of medical records and information systems. Medical data specialists often work with electronic health records (EHRs), coding systems, and databases to improve patient care and operational efficiency. Their work is essential in hospitals, clinics, research institutions, and health IT companies.

What is the difference between Medical Data vs Medical Records Specialist?

AspectMedical DataMedical Records Specialist
CredentialsOften requires certifications in health information management or data analysisTypically requires health information technician certification or medical records training
Work EnvironmentData analysis settings, healthcare IT departments, or research facilitiesHospitals, clinics, or healthcare offices managing patient records
Employer & Industry UsageUsed in healthcare analytics, research, and data management rolesUsed in medical record keeping, documentation, and patient information management

Medical Data focuses on analyzing and managing healthcare information through data analysis, while Medical Records Specialists handle the organization and maintenance of patient records. Both roles are essential in healthcare but differ in their primary functions and work environments.

More about Medical Data jobs
What cities are hiring for Medical Data jobs? Cities with the most Medical Data job openings:
What are the most commonly searched types of Medical Data jobs? The most popular types of Medical Data jobs are:
What states have the most Medical Data jobs? States with the most job openings for Medical Data jobs include:
What job categories do people searching Medical Data jobs look for? The top searched job categories for Medical Data jobs are:
Medical Data jobs near you
Infographic showing various Medical Data job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 77% Full Time, 17% Part Time, and 5% Contract. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution, with an average salary of $77,654 per year, or $37.3 per hour.

Military Medical Data Analyst

EMMC, Inc

San Diego, CA • Remote

$93K - $114K/yr

Full-time

Retirement, PTO

Posted 8 days ago

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Job description

The responsibilities of this position include, but are not limited to: 

·                     Reviewing medical data used within the NHRC software for accuracy 

·                     Updating supply collections associated with patient treatment profiles

·                     Monitor and implement updates to allowance standards and changes to National Stock Number medical material

·                     Validating outputs of NHRC software

·                     Provide support to Marine Corps Systems Command and other service organizations with updates and review of medical allowance standards 

·                     Providing inputs on the underlying medical and logistics data 

·                     Conduct and support reviews of data sets to inform simulation model 

·                     Investigate data anomalies and implement corrective/preventive actions 

·                     Reviewing academic literature to identify relevant medical data  

·                     Maintain metadata, data dictionaries, controlled vocabularies, and standardized reporting formats 

·                     Maintain data related to personnel, medical allowance standards, equipment sets, treatment capabilities, and expeditionary clinical operations  

·                     Providing expertise on expeditionary medical treatment and operations 

·                     Providing expertise on patient care and patient outcomes