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Entry Level Remote Health Informatics Jobs (NOW HIRING)

MUSC

... health informatics, data analytics, health information systems, and related areas. This part-time, remote appointment supports the program's mission by delivering high-quality asynchronous ...

Apex Systems

Informatics Specialist

Atlanta, GA · Remote

$79.99 - $80/hr

Remote (Remote) Employment Type: Contract Role Overview We are seeking an Informatics Specialist ... Everforth Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee ...

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How much do entry level remote health informatics jobs pay per year?

As of Jun 2, 2026, the average yearly pay for entry level remote health informatics in the United States is $82,781.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,500.00 and $98,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Entry Level Remote Health Informatics professional, and why are they important?

To thrive as an Entry Level Remote Health Informatics professional, you need a background in health information management, data analysis, and basic knowledge of healthcare systems, often supported by a relevant degree or certification such as RHIT or CAHIMS. Familiarity with electronic health record (EHR) systems, data analytics tools, and health informatics software is typically required. Strong attention to detail, problem-solving abilities, and effective communication skills help you excel in collaborating with healthcare teams and ensuring data accuracy. These skills are essential for supporting efficient healthcare delivery, maintaining data integrity, and complying with regulatory standards in a remote environment.

What are some typical challenges faced when starting out in an entry level remote health informatics position?

Entry level remote health informatics professionals often encounter challenges such as adapting to healthcare data standards, learning specialized software systems, and balancing independent work with effective virtual collaboration. Additionally, understanding privacy regulations like HIPAA and maintaining clear communication with clinical and IT teams can require extra attention when working remotely. However, most organizations provide onboarding resources and mentorship to help new hires navigate these initial hurdles and build a strong foundation.

What is an entry level remote health informatics job?

An entry level remote health informatics job involves working with healthcare data, systems, and technology to improve patient outcomes and healthcare processes, all from a remote location. These roles typically include tasks like managing electronic health records, analyzing health information, supporting data security, and helping with the implementation of health IT systems. Entry level positions usually require at least a bachelor's degree in health informatics, information technology, or a related field, but some roles may accept equivalent experience or certifications. Working remotely allows professionals to collaborate with healthcare teams and IT departments using digital tools and platforms. This role is ideal for individuals interested in both healthcare and technology, offering opportunities to grow in a rapidly expanding field.
What cities are hiring for Entry Level Remote Health Informatics jobs? Cities with the most Entry Level Remote Health Informatics job openings:
What are the most commonly searched types of Remote Health Informatics jobs? The most popular types of Remote Health Informatics jobs are:
What states have the most Entry Level Remote Health Informatics jobs? States with the most job openings for Entry Level Remote Health Informatics jobs include:
Entry Level Remote Health Informatics jobs near you

Senior Health Informatics / Data Scientist

Inizio Partners

San Francisco, CA • Remote

Other

Posted 23 days ago

Job description

About the job Senior Health Informatics / Data Scientist
Role: Senior Health Informatics / Data Scientist
Location: Remote (U.S.)
Duration: 6+ Month Contract
Working Time Zone: PST (Pacific Time Zone)
Position Overview
We are seeking a Senior Health Informatics / Data Scientist with deep technical expertise in statistical modeling, machine learning, and healthcare data analytics. This is a hands-on role focused on developing data science models using Python to support risk stratification and risk tier migration initiatives within the U.S. healthcare ecosystem.
The ideal candidate will have experience working with healthcare claims and population health datasets, building predictive models that support patient risk identification and care management strategies. The role requires strong familiarity with Medicare, Medicaid, and other U.S. healthcare reimbursement structures and coding frameworks.
This individual will collaborate with analytics, clinical, and population health teams to develop models that help identify high-risk populations and support value-based care initiatives.
Key Responsibilities

  • Develop and implement statistical and machine learning models for healthcare risk stratification and population health analytics.
  • Build predictive models to support risk tier migration and risk adjustment strategies.
  • Use Python and modern data science libraries (pandas, NumPy, scikit-learn, etc.) to design, test, and deploy analytical models.
  • Analyze large-scale healthcare datasets including claims, clinical, and demographic data.
  • Work with healthcare stakeholders to translate analytical findings into actionable insights for care management and population health initiatives.
  • Identify high-risk patient cohorts and support targeted intervention strategies.
  • Ensure models and analytics align with Medicare, Medicaid, and other reimbursement frameworks.
  • Document methodologies and present insights to both technical and non-technical stakeholders.
Required Qualifications
  • Advanced degree in Data Science, Statistics, Biostatistics, Computer Science, Health Informatics, or related quantitative field.
  • Strong experience in statistical modeling, machine learning, and predictive analytics.
  • Hands-on Python programming experience for data science and model development.
  • Experience working with healthcare claims data, population health data, or clinical datasets.
  • Demonstrated experience with risk stratification, risk adjustment, or population health modeling.
  • Strong analytical and problem-solving skills.
Preferred Qualifications
  • Experience with risk tier migration analytics within healthcare organizations or health plans.
  • Familiarity with Medicare and Medicaid reimbursement structures.
  • Knowledge of healthcare coding standards such as ICD, CPT, and HCPCS codes.
  • Experience working with health plans, healthcare analytics firms, provider organizations, or consulting firms.

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