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Remote Clinical Informatics Jobs in Louisiana (NOW HIRING)

Clinical & Operational Excellence * Oversee imaging workflow optimization, ensuring timely and high ... Work with IT and radiology informatics teams to optimize PACS, RIS, voice recognition, and AI ...

Remote Clinical Informatics information

See Louisiana salary details

$44.5K

$88.6K

$140.2K

How much do remote clinical informatics jobs pay per year?

As of Jul 19, 2026, the average yearly pay for remote clinical informatics in Louisiana is $88,588.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,100.00 and $98,800.00 per year, depending on experience, location, and employer.

What Are Remote Clinical Informatics Jobs?

Remote clinical informatics jobs include positions such as clinical informatics analyst, clinical informatics specialist, informatics programmer analyst, informatics scientist, and clinical informatics educator. Clinical informatics is the discipline of studying how technology can improve the flow of clinical and patient information between researchers, clinicians, patients, and health care organizations in the health care system. Your specific duties depend on your position, but most jobs require you to help design and develop data storage and sharing systems. Your responsibilities may also include helping to analyze and improve current informatics systems at an institution.

What are the key skills and qualifications needed to thrive as a Remote Clinical Informatics Specialist, and why are they important?

To thrive as a Remote Clinical Informatics Specialist, you need a background in healthcare, knowledge of clinical workflows, and often a degree in informatics, health information management, or a related field. Familiarity with electronic health records (EHR) systems, data analytics tools, and certifications such as Certified Professional in Healthcare Information and Management Systems (CPHIMS) are commonly required. Strong communication, problem-solving skills, and the ability to collaborate across clinical and technical teams are essential soft skills. These abilities are vital to ensure accurate data management, successful implementation of health IT solutions, and improved patient care outcomes in a remote environment.

What is the difference between Remote Clinical Informatics vs Remote Health Data Analyst?

AspectRemote Clinical InformaticsRemote Health Data Analyst
CredentialsHealthcare-related degrees, certifications like CPHIMS or CAHIMSData analysis or statistics degrees, certifications like CPC or CAP
Work EnvironmentHealthcare settings, hospitals, clinics, telehealthResearch institutions, healthcare organizations, consulting firms
Employer & IndustryHospitals, healthcare providers, EHR vendorsHealthcare analytics firms, insurance companies, research organizations
Search & Comparison IntentUnderstanding roles in healthcare IT, telehealth, clinical systemsAnalyzing healthcare data, reporting, and insights

Remote Clinical Informatics focuses on implementing and managing healthcare technology systems within clinical settings, requiring healthcare credentials. In contrast, Remote Health Data Analysts primarily analyze healthcare data to generate insights, often with a background in data analysis. Both roles support healthcare organizations but serve different functions in the industry.

What is remote clinical informatics?

Remote clinical informatics is a field that involves managing and analyzing health information and data to improve patient care, with professionals working from locations outside traditional healthcare settings. These specialists use technology to collect, store, and interpret medical data, helping healthcare providers make better clinical decisions. Remote clinical informaticists often collaborate with IT teams, clinicians, and administrators to optimize electronic health records (EHRs), ensure data security, and support telehealth initiatives. This role is critical in the modern healthcare environment, where digital solutions and remote work are increasingly common.

How does a Remote Clinical Informatics professional typically collaborate with healthcare teams and IT departments?

Remote Clinical Informatics professionals often work closely with both clinical staff and IT teams to optimize electronic health record (EHR) systems and ensure seamless health data workflows. They facilitate communication between clinicians and technical staff, translating clinical needs into technical requirements and vice versa. Regular virtual meetings, project management tools, and secure messaging platforms are commonly used to coordinate updates, solve problems, and implement new technologies. Strong collaboration skills are essential, as much of the work involves cross-functional teamwork to improve patient care and data integrity.
What are the most commonly searched types of Clinical Informatics jobs in Louisiana? The most popular types of Clinical Informatics jobs in Louisiana are:
What are popular job titles related to Remote Clinical Informatics jobs in Louisiana? For Remote Clinical Informatics jobs in Louisiana, the most frequently searched job titles are:
What job categories do people searching Remote Clinical Informatics jobs in Louisiana look for? The top searched job categories for Remote Clinical Informatics jobs in Louisiana are:
What cities in Louisiana are hiring for Remote Clinical Informatics jobs? Cities in Louisiana with the most Remote Clinical Informatics job openings:
Infographic showing various Remote Clinical Informatics job openings in Louisiana as of July 2026, with employment types broken down into 2% As Needed, 75% Full Time, 17% Part Time, and 6% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $88,588 per year, or $42.6 per hour.
Senior Healthcare Informatics Analyst

Senior Healthcare Informatics Analyst

Strategic Staffing Solutions

Baton Rouge, LA โ€ข Remote

$50/hr

Other

Posted 17 days ago


Job description

Job Description Senior Healthcare Informatics Analyst Location: Remote (Louisiana Preferred) Duration: 6-Month Contract Pay Rate: Up to $50/hour Overview We are seeking a Senior Healthcare Informatics Analyst to support advanced healthcare analytics initiatives focused on improving healthcare quality, outcomes, utilization, and cost management. This role will leverage predictive modeling, outcomes research, machine learning, and healthcare data analytics to provide actionable insights that drive strategic business decisions. The ideal candidate will have strong experience in Healthcare Economics and Outcomes Research (HEOR), predictive analytics, healthcare data modeling, and payer/provider healthcare environments.

Key Responsibilities Analyze healthcare data to improve patient outcomes, utilization, quality, and cost efficiency. Develop predictive models and advanced analytic solutions to support business and clinical initiatives. Perform healthcare economics and outcomes research using large healthcare datasets.

Design and execute descriptive, predictive, and statistical analyses. Translate business problems into data-driven solutions and actionable recommendations. Collaborate with business, clinical, actuarial, finance, and technology teams to support strategic decision-making.

Validate data quality, accuracy, completeness, and consistency across analytical deliverables. Develop reporting, dashboards, and analytical frameworks that support operational and strategic initiatives. Serve as a subject matter expert on healthcare analytics methodologies and outcomes measurement.

Present complex analytical findings to both technical and non-technical stakeholders. Required Qualifications Education Bachelor's degree in Healthcare Administration, Statistics, Economics, Computer Science, Finance, Analytics, or another quantitative discipline. Equivalent experience may be considered in lieu of degree requirements.

Experience 4+ years of healthcare analytics, healthcare informatics, healthcare consulting, or related experience. Experience building predictive models and advanced analytical solutions. Experience working with healthcare payer and/or provider data environments.

Strong understanding of the U.S. healthcare delivery system. Technical Skills SQL SAS Python R Tableau Analytical Skills Predictive Modeling Healthcare Analytics Data Mining Statistical Analysis Machine Learning Outcomes Research Big Data Analytics Preferred Qualifications Strong experience in Healthcare Economics and Outcomes Research (HEOR)

Experience with SAS Enterprise Miner. Experience supporting population health management initiatives. Knowledge of provider reimbursement and payment methodologies.

Experience with risk adjustment models and methodologies. Familiarity with healthcare quality and performance measures. Clinical & Healthcare Analytics Knowledge HCC DxCG DRG APC ETG MEG HEDIS AHRQ Statistical & Machine Learning Methods Linear Regression Logistic Regression Polynomial Regression Decision Trees Cluster Analysis Time Series Analysis Support Vector Machines Ensemble Models Unstructured Data Mining Ideal Candidate Profile Deep expertise in healthcare analytics and outcomes research.

Strong background in predictive modeling and healthcare data science. Experience translating complex healthcare data into business insights. Ability to communicate analytical findings to executive and operational stakeholders.

Comfortable working independently while collaborating across multiple business functions. Experience supporting payer, managed care, population health, risk adjustment, or value-based care initiatives. Key Areas of Focus Healthcare Economics & Outcomes Research (HEOR) Predictive Analytics Population Health Provider Performance Analytics Risk Adjustment Medical Cost Management Quality Measurement Healthcare Utilization Analytics Patient Outcomes Analysis Healthcare Data Strategy and Decision Support.