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Medical Data Jobs (NOW HIRING)

Ripple Effect

$141K - $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 ...

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Medical Data Entry Clerk - Remote

Dallas, TX · On-site

$16.75 - $19.75/hr

Medical Data Entry Clerk - Remote Dallas, Texas, United States The qualified candidate will assist the Accounts Receivable Manager in billing, posting remittances, and tracking open balances and ...

IVIRMA Global

Medical Data Entry - Hybrid

Basking Ridge, NJ · On-site

$17.25 - $20.50/hr

Ensure accuracy of posting by first reviewing information in our electronic medical records (EMR) system so any updates or errors can be captured prior to entry into our billing system * Document ...

Virtual Firm LLC

Medical Data Entry Associate

Winston Salem, NC · On-site +1

$14.75 - $19.25/hr

Gathers demographic, insurance, and health care encounter information from a variety of sources for the purpose of billing medical provider professional fees. * Enter and verify the appropriate ...

Syneoshealth

Sr Medical Scientist

New York, NY

Authors medical data queries and reviews query responses, approves query closure in association with Medical Director. * May assist Medical Director in patient profiles review, scientific review of ...

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Medical Data information

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How much do medical data jobs pay per hour?

As of Jun 29, 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 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.

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.
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 June 2026, with employment types broken down into 2% As Needed, 67% Full Time, 29% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $77,654 per year, or $37.3 per hour.
Defense Medical Data Architect

Defense Medical Data Architect

Ripple Effect

On-site

$141K - $160K/yr

Full-time

Posted 3 days ago

Job description

General Information

  • Job Code: CIT-DB-05M
  • Location: Client/Fort Detrick, MD
  • Employee Type: Exempt, Full-Time Regular
  • Telework: None/Client Site
  • Citizenship: Required by Contract
  • Clearance: Public Trust
  • Manager: Yes
  • Salary Range: $141,802 - $160,000

Position Overview

Are you passionate about designing data systems that strengthen mission readiness, operational visibility, and decision-making across complex federal health logistics environments?

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 architect and technical lead for designing, modernizing, and sustaining enterprise data architectures, analytics platforms, and AI-enabled solutions supporting military medical logistics. The architect will lead data modernization efforts, oversee advanced analytics and application development, ensure compliance with DoD and DHA standards, and serve as a trusted liaison between government stakeholders and delivery teams, combining architectural leadership with hands-on delivery and transition support.

Responsibilities

  • Data Architecture & Modernization: Design and implement scalable, enterprise data architectures supporting military medical logistics programs including the designing of data models and repositories to replace legacy Excel workflows and integrate disparate data sources including DML-ES, JMAR/LogiCole, BCS, and MIP
  • Technical Execution & Solution Delivery: Lead development and sustainment of analytics platforms, operational tools, dashboards, and process automation solutions. Resolve production issues, optimize data pipelines, improve dashboard performance/refresh cycles, and standardize workflows to ensure stability, scalability and usability of analytical assets.
  • Application Development & Process Automation: Design and sustain mission-critical applications and automation capabilities while delivering business friendly reporting tools, system-generated documents and visual mapping solutions.
  • Analytics & Decision Support: Lead the development of descriptive, predictive, and strategic analytics solutions to support logistics planning, inventory management, and financial forecasting.
  • AI Capability Design & Integration: Design secure, compliant and scalable architectures for AI‑enabled MEDLOG missions while ensuring alignment with DoD and DHA AI governance requirements.
  • Communication & Stakeholder Engagement: Serve as the technical liaison between government stakeholders and delivery teams by leading technical discussions, validating requirements, presenting solutions, and ensuring alignment on scope, risks, and solution feasibility throughout the project lifecycle.
  • Training & Knowledge Transfer: Develop and execute training programs to improve MEDLOG data literacy by creating training materials, supporting hands‑on learning and mentorship, and maintaining documentation to ensure long‑term sustainability.
  • Quality, Compliance & Transition: Ensure deliverables meet quality, security, and contractual requirements by overseeing documentation, access controls, and data governance, and by planning and executing transition and handoff to government personnel.

Requirements

Minimum Education & Experience

  • Bachelor’s degree in Data Science, Computer Science, Logistics, Information Systems, or a related field; Master’s degree preferred
  • Minimum of eight (8) years of experience in data architecture, data engineering, analytics, or software development
  • At least three (3) years of experience leading technical projects or teams with demonstrated experience delivering analytics products and dashboards for federal agencies.
  • Minimum of four (4) years supporting military medical logistics or federal health data environments

Basic Requirements

  • Demonstrated expertise in DML‑ES, JMAR/LogiCole, and DMLSS systems, including data schemas, logistics workflows, and Class VIII procurement, usage, and inventory data.
  • Experience designing enterprise data architectures, data models, and integrated repositories across multiple systems.
  • Proficiency in Tableau Prep, Tableau Desktop, and Microsoft Power BI, with experience developing and sustaining dashboards and analytics products.
  • Proficiency in Python, SQL, database design, and data integration supporting analytics, automation, and operational tools.
  • Experience delivering and sustaining analytics platforms, dashboards, and operational reporting solutions in complex environments.
  • Strong project management, documentation, and stakeholder communication skills.
  • Intermediate experience with office productivity software such as Office 365 including Word, PowerPoint, Excel and Outlook.

Skills That Set You Apart

  • Active Secret clearance.
  • Experience modernizing legacy Excel‑based workflows into scalable enterprise data solutions supporting logistics, supply chain, readiness, or financial reporting.
  • Experience designing AI‑enabled analytics and decision‑support systems in compliance with DoD standards, including hands‑on use of generative AI platforms and enterprise AI tools.
  • Knowledge of data security, access controls, and governance within federal or DoD environments.
  • Ability to mentor technical staff and government personnel on analytics best practices and data literacy.

Benefits

Ripple Effect rewards our employees for their contributions to our mission in many ways, from competitive pay and exceptional benefits to a range of work/life programs based on your employment classification and personalized preferences.

Ripple Effect is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, political affiliation, or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation during the hiring process, please let us know by contacting our HR department at HR@rippleeffect.com or your recruiter. Eligibility for employment will be verified using E-verify.