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Remote Healthcare Data Management Jobs (NOW HIRING)

Jobgether

$106K - $143K/yr

This position is listed on behalf of a partner company, who manages all applications and next steps ... Fully remote work environment. * Full-time schedule of approximately 40 hours per week. * Medical ...

Synex Talent

Oncology Data Specialist

Northborough, MA · Remote

$150K - $200K/yr

This full-time, remote position allows you to leverage your expertise in the health and fitness ... You will collaborate with healthcare professionals and researchers to ensure data integrity and ...

BerryDunn

Senior Healthcare Data Analyst

$88K - $111K/yr

This position offers flexibility in work location, including fully onsite, hybrid, or remote ... Experience supporting a state Medicaid agency, Medicaid managed care organization, CMS-related ...

BerryDunn

Senior Healthcare Data Analyst

$88K - $111K/yr

This position offers flexibility in work location, including fully onsite, hybrid, or remote ... Experience supporting a state Medicaid agency, Medicaid managed care organization, CMS-related ...

USM

JB061827 - Encounter Data Manager (EDM) L

Remote * Encounter Data Manager (EDM) * Lead experience, will lead an offshore team * Strong SQL development * Strong SSIS * Healthcare data experience (837, 835, 834, X12, HIPAA, Etc.

Perun HR

Customer Service Representative Remote Healthcare

$16.50 - $22.25/hr

Customer Service Representative Remote Healthcare Dayton, Ohio, United States Or refer someone Job ... Multitasking ability - able to input data or research information while on the phone with the ...

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Remote Healthcare Data Management information

What is remote healthcare data management?

Remote healthcare data management is the process of collecting, storing, organizing, and analyzing healthcare data from various sources using digital tools, all while working from a remote location. Professionals in this field ensure the security, privacy, and accuracy of sensitive patient and clinical data. They often work with electronic health records (EHRs), health information systems, and compliance standards like HIPAA. This job is crucial for supporting healthcare providers in delivering quality patient care and making data-driven decisions, even when team members are not physically present in a healthcare facility.

What are the key skills and qualifications needed to thrive as a remote healthcare data management professional?

To excel in Remote Healthcare Data Management, you need a solid understanding of health informatics, data analysis, and regulatory compliance, often backed by a degree in health information management or a related field. Familiarity with electronic health record (EHR) systems, data security tools, and certifications such as RHIA or RHIT are typically required. Strong attention to detail, problem-solving abilities, and effective communication skills help ensure accurate data handling and collaboration across teams. These skills are crucial for safeguarding patient information, maintaining data integrity, and supporting quality decision-making within healthcare organizations.

What are some common challenges faced in remote healthcare data management, and how can they be addressed?

One of the main challenges in remote healthcare data management is maintaining data security and patient privacy, as professionals often access sensitive information from various locations. Ensuring compliance with regulations like HIPAA requires robust security protocols and ongoing training. Additionally, remote teams may face difficulties in seamless collaboration and real-time data sharing, which can be mitigated by using secure, cloud-based platforms and regular virtual meetings. Staying organized and proactive in communication helps maintain data accuracy and project timelines.

What is the difference between Remote Healthcare Data Management vs Remote Healthcare Data Analyst?

AspectRemote Healthcare Data ManagementRemote Healthcare Data Analyst
CredentialsHealth informatics certifications, data management skillsData analysis certifications, statistical skills
Work EnvironmentManaging data systems, ensuring data qualityInterpreting data, generating reports
Industry UsageHealthcare organizations, hospitals, clinicsResearch institutions, healthcare providers

Remote Healthcare Data Management involves overseeing healthcare data systems and ensuring data integrity, while Remote Healthcare Data Analysts focus on analyzing healthcare data to generate insights. Both roles require data-related certifications and are integral to healthcare data operations, but they differ in daily tasks and focus areas.

More about Remote Healthcare Data Management jobs

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What are the most commonly searched types of Healthcare Data Management jobs?

The most popular types of Healthcare Data Management jobs are:

What states have the most Remote Healthcare Data Management jobs?

States with the most job openings for Remote Healthcare Data Management jobs include:

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The top searched job categories for Remote Healthcare Data Management jobs are:

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Remote Healthcare Data Management jobs near you
Infographic showing various Remote Healthcare Data Management job openings in the United States as of September 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Sr. Healthcare Data Analyst (Medicaid)

On-site, Remote

Jobgether
See more jobs at Jobgetherexternal

$106K - $143K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired 2 days ago. Applications are no longer accepted.

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Sr. Healthcare Data Analyst (Medicaid) based in Netherlands.

This is a senior data analytics opportunity focused on using healthcare data to strengthen Medicaid program oversight.
You will analyze large and complex datasets to identify patterns, vulnerabilities, and potential areas of fraud, waste, and abuse.
The role combines advanced analytics, Medicaid policy knowledge, research, and data visualization to turn complex information into actionable insights.
You'll work closely with technical teams and leadership to investigate challenging questions and develop practical analytical solutions.
Your findings will help inform decisions with meaningful implications for program integrity and public-sector healthcare outcomes.
The environment values collaboration, critical thinking, clear communication, and the ability to work independently on complex problems.
This role offers the opportunity to apply your healthcare data expertise to mission-driven work with tangible societal impact.

Accountabilities
  • Perform advanced analysis, interpretation, and reporting of Medicaid data, developing methodologies and analytical approaches that support program oversight.
  • Analyze large datasets to identify meaningful patterns, trends, anomalies, vulnerabilities, and high-risk areas within the Medicaid program.
  • Conduct research combining Medicaid policy knowledge with detailed claims analysis to investigate potential fraud, waste, abuse, and other program integrity concerns.
  • Develop analytical rules, methodologies, and solutions that translate complex healthcare data into actionable insights.
  • Apply exploratory research and critical thinking to understand program requirements and determine how data can inform decision-making.
  • Build compelling data visualizations, dashboards, and reports that communicate complex findings clearly to technical and non-technical audiences.
  • Present analytical conclusions and recommendations through written, verbal, and visual communication.
  • Collaborate proactively with leadership and multidisciplinary team members to identify solutions to complex analytical challenges.
  • Contribute to data-driven approaches that support the detection and prevention of fraud, waste, and abuse across Medicaid programs.
Requirements
  • Bachelor's degree in a relevant discipline and 5+ years of professional experience conducting advanced analysis of Medicaid data.
  • Strong hands-on experience with T-MSIS data and demonstrated expertise analyzing Medicaid datasets.
  • Proficiency with SQL, Python, Tableau, Databricks, Snowflake, or comparable data analytics, reporting, dashboarding, and visualization technologies.
  • Proven ability to work efficiently with large and complex datasets and uncover actionable patterns and trends.
  • Experience developing advanced analytical solutions that address business or program challenges through a strong understanding of Medicaid policy.
  • Demonstrated experience creating analytics and visualization solutions designed to identify and help prevent healthcare fraud, waste, and abuse.
  • Strong statistical analysis, research, data interpretation, and problem-solving capabilities.
  • Ability to translate complex analytical findings into clear recommendations for audiences with varying levels of technical expertise.
  • Excellent written and verbal communication skills, with confidence presenting findings to stakeholders and leadership.
  • Strong collaboration skills combined with the ability to work independently, prioritize effectively, and take ownership of complex analytical assignments.
  • Ability to obtain and maintain the required NACI (Tier 1) public trust designation.
  • Willingness to work remotely with limited travel, expected to be less than 10%.
Benefits
  • Competitive estimated salary range of $106,250-$143,750 USD annually, with final compensation based on experience, location, and applicable contractual considerations.
  • Fully remote work environment.
  • Full-time schedule of approximately 40 hours per week.
  • Medical plan options, including plans with Health Savings Accounts.
  • Dental and vision insurance options.
  • 401(k) retirement plan with company matching and pre-tax/post-tax contribution options.
  • Flexible work arrangements and full-flex work weeks where applicable.
  • Paid vacation, sick, personal, and holiday leave.
  • Typically 15 days of paid leave per calendar year for new employees, plus 10 paid holidays, subject to applicable prorating.
  • Paid parental leave, including up to 160 hours of paid family leave during a rolling 12-month period for eligible employees.
  • Military, bereavement, and jury duty leave.
  • Short- and long-term disability coverage and life insurance options.
  • Accidental death and dismemberment, personal accident, critical illness, and business travel and accident insurance offerings.
  • Opportunity to contribute to mission-driven healthcare analytics and public-sector program integrity initiatives.
  • Professional growth through work involving advanced data analytics, visualization, and large-scale healthcare datasets.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether? 
 
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
 
 
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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