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Medical Data Jobs (NOW HIRING)

Absolute IT

Medical Services Data Entry

Pierre, SD · On-site

$16.75 - $20/hr

Data Entry, Processing, Review & Verification and Associated Tasks * Scope of Work DSS is seeking a qualified individual to augment staff for data entry, processing, review and verification and ...

Corvel

Data Verification Analyst

Pittsburgh, PA · Hybrid

$13.38 - $23.42/hr

The Data Verification Analyst is responsible for all bill review clerical functions, including mail, prepping and scanning medical bills, data entry, data verification and assisting with various ...

Absolute Staffers

Medical Assistant

Devens, MA

$24 - $27/hr

Prepare medical data and required forms for physicians and Advanced Practice Providers * Perform and record patient vital signs in the electronic medical record (EMR) * Assist with initial patient ...

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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.

Hybrid :: Medical Data Specialist II :: Valencia, CA :: 12 Months

Kanak Elite Services Inc

Valencia, CA • On-site

Contractor

Posted 18 days ago

Job description

Hello There,

My name is Amit Kumar, and I serve as the Sr. Technical Recruiter at Kanak-IT INC. I am reaching out to share an excellent career opportunity for the role of “Medical Data Specialist II” with our esteemed client. If you are interested then please share your updated resume at Amitkumar@kanakits.com .

Job Title: Medical Data Specialist II

Location: Hybrid, Valencia, CA (3 days onsite)

Duration: 12 Months

Job Description:

Designs, builds and manages the information or big data infrastructure. Develops the architecture that helps analyze and process data in the way the organization needs it. Makes sure those systems are performing smoothly.

Key Responsibilities

• Provides technical guidance related to data architecture, data models and meta data management to senior IT and business leaders.

• Defines and implements data flows through and around digital products.

• Participates in data modeling and testing.

• Extracts relevant data to solve analytical problems; ensure development teams have the required data.

• Interacts with the business divisions to understand all data requirements to develop business insights for CRM and translates them into data structures and data model requirements to IT.

• Works closely with database teams on topics related to data requirements, cleanliness, accuracy etc.

• Tracks analytics impact on business.

• Monitors market watch.

• Develops sustainable data driven solutions with current new gen data technologies to meet the needs of the organization and business customers.

• Builds data pipeline frameworks to automate high-volume and real-time data delivery for Hadoop and streaming data hub.

• Builds robust systems with an eye on the long-term maintenance and support of the application.

• Builds data APIs and data delivery services that support critical operational and analytical applications for our internal business operations, customers and partners.

• Transforms complex analytical models into scalable, production-ready solutions.

• Continuously integrates and ships code into our own premise and cloud production environments.

• Develops applications from ground up using a modern technology stack such as Scala, Spark, Postgres, Angular JS, and NoSQL.

• Works directly with Product Managers and customers to deliver data products in a collaborative and agile environment.

Education & Experience

  • Bachelor's or master's degree in computer science, Engineering, Bioinformatics, or related field.
  • 5+ years of experience in data engineering. Firm.
  • Prefer prior experience working with regulated healthcare data (e.g., HIPAA, FDA 21 CFR Part 11)

Core Technical Skills required:

  • ETL Development: Proficiency in building robust pipelines.
  • Data Modeling: Strong knowledge of relational (PostgreSQL, MySQL) and NoSQL (MongoDB, DynamoDB) data models, especially clinical or device data schemas (FHIR, HL7, OMOP).
  • Cloud Platforms: Experience with HIPAA-compliant cloud services.
  • Programming: Strong Python and SQL skills; Spark or Scala is a plus.
  • APIs & Integration: RESTful APIs, HL7/FHIR data ingestion, integration with EHRs and medical devices.
  • Experience in Python, AWS Glue, AWS EMR, AWS S3, AWS Lambda, AWS ECS.
  • Experience in one of the following: Flink, Kafka, Spark, Terraform