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Clinical Informatics Data Analyst Jobs in Dallas, TX

Compensation: $60-$80 per hour ABOUT THE ROLE Our client is seeking a highly skilled Clinical Informatics Data Architect to lead the transformation of fragmented healthcare datasets into FHIR ...

Our analysts work directly with Clinical Operation teams to identify needs and establish solutions ... Evaluate data needs for assigned projects and make recommendations on strategic approach specific ...

Our analysts work directly with Clinical Operation teams to identify needs and establish solutions ... Evaluate data needs for assigned projects and make recommendations on strategic approach specific ...

Clinical Informatics Analyst

Irving, TX ยท On-site

$95 - $130/hr

Our analysts work directly with Clinical Operation teams to identify needs and establish solutions ... Evaluate data needs for assigned projects and make recommendations on strategic approach specific ...

New

Clinical Informatics Specialist

Dallas, TX ยท On-site

$100K - $120K/yr

... data extraction. * Certified Health Informatician (e.g., CAHIMS/CPHIMS) or RHIA/RHIT certification. Responsibilities As the college's sole Clinical Informatics Analyst, this position is responsible ...

Technical Solutions Engineer - Pre

Dallas, TX ยท On-site

$103.50 - $155.50/hr

... Clinical Informatics, Data Science, and Commercial teams to shape both customer solutions and future product capabilities.# ****Responsibilities***** Analyze customer technical and business ...

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Clinical Informatics Data Analyst information

See Dallas, TX salary details

$42K

$84.7K

$123.7K

How much do clinical informatics data analyst jobs pay per year?

As of Aug 19, 2026, the average yearly pay for clinical informatics data analyst in Dallas, TX is $84,688.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,300.00 and $98,900.00 per year, depending on experience, location, and employer.

What does a clinical informatics data analyst do?

A Clinical Informatics Data Analyst is responsible for collecting, analyzing, and interpreting healthcare data to improve patient care and operational efficiency. They work closely with clinical staff and IT teams to develop reports, dashboards, and data-driven insights that inform decision-making. Their duties often include cleaning and organizing data, ensuring data integrity, and supporting electronic health record (EHR) systems. They play a vital role in identifying trends, optimizing workflows, and ensuring compliance with healthcare regulations.

What skills and qualifications are needed to thrive as a clinical informatics data analyst?

To thrive as a Clinical Informatics Data Analyst, you typically need a background in healthcare, data analysis, and informatics, often supported by a degree in health informatics, data science, or a related field. Experience with electronic health record (EHR) systems, SQL, data visualization tools like Tableau or Power BI, and relevant certifications such as Certified Health Data Analyst (CHDA) are also valuable. Strong problem-solving, attention to detail, and effective communication skills enable analysts to interpret data accurately and collaborate with clinical teams. These competencies are essential for transforming complex healthcare data into actionable insights that improve patient outcomes and operational efficiency.

How does a clinical informatics data analyst collaborate with clinicians and IT teams to improve healthcare outcomes?

Clinical Informatics Data Analysts frequently act as a bridge between clinical staff and IT departments. They work closely with clinicians to understand workflow needs and data challenges, then translate those requirements into technical solutions or data reports. Regular meetings, project updates, and cross-functional teams are common, allowing the analyst to ensure that the data systems effectively support patient care and operational goals. This collaboration is vital for implementing new technologies, optimizing electronic health records, and ensuring data-driven decision-making in healthcare settings.

What is the difference between Clinical Informatics Data Analyst vs Clinical Data Coordinator?

AspectClinical Informatics Data AnalystClinical Data Coordinator
CredentialsBachelor's in health informatics, data analysis, or related field; certifications like CPHIMS beneficialBachelor's in health sciences, nursing, or related field; often requires experience in clinical data management
Work EnvironmentHospitals, clinics, health IT companies, research institutionsHospitals, clinics, healthcare facilities, research settings
Primary FocusAnalyzing clinical data, developing reports, supporting informatics projectsManaging and maintaining clinical data, data entry, quality assurance

The Clinical Informatics Data Analyst focuses on analyzing and interpreting clinical data to support healthcare decisions, while the Clinical Data Coordinator manages and ensures the accuracy of clinical data entry and maintenance. Both roles work within healthcare settings but have different primary responsibilities related to data handling and analysis.

What are popular job titles related to Clinical Informatics Data Analyst jobs in Dallas, TX?

For Clinical Informatics Data Analyst jobs in Dallas, TX, the most frequently searched job titles are:

What job categories do people searching Clinical Informatics Data Analyst jobs in Dallas, TX look for?

The top searched job categories for Clinical Informatics Data Analyst jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Clinical Informatics Data Analyst jobs?

Cities near Dallas, TX with the most Clinical Informatics Data Analyst job openings:

Infographic showing various Clinical Informatics Data Analyst job openings in Dallas, TX as of August 2026, with employment types broken down into 91% Full Time, and 9% Part Time. Highlights an 84% In-person, 3% Hybrid, and 13% Remote job distribution, with an average salary of $84,688 per year, or $40.7 per hour.

Clinical Informatics Data Engineer

Medasource

Coppell, TX โ€ข On-site

$60 - $80/hr

Contractor

Posted 5 days ago


Job description

Compensation: $60-$80 per hour
ABOUT THE ROLE
Our client is seeking a highly skilled Clinical Informatics Data Architect to lead the transformation of fragmented healthcare datasets into FHIR-compliant formats. In this pivotal role, you will architect advanced FHIR modeling and validation solutions, develop custom StructureDefinitions, and utilize FHIR Shorthand (FSH) to ensure all resources strictly adhere to US Core profiles and internal organizational extensions. You will design and execute robust data enrichment strategies for ingesting, harmonizing, and curating unstructured and semi-structured healthcare data, resolving duplication, and creating longitudinal patient data stores. The role also encompasses semantic interoperability and terminology mapping, building crosswalks between local codes and standards such as SNOMED CT, LOINC, RxNorm, and ICD-10, and implementing rigorous data quality validation processes. You will be responsible for developing clear and concise documentation to communicate data design requirements to engineering teams and stakeholders with varying technical expertise. This is an opportunity to make a significant impact on healthcare data interoperability and support precision care and clinical research initiatives.
WHAT YOU'LL DO
  • Architect and execute the transformation of fragmented healthcare datasets into FHIR-compliant representations, including development of custom StructureDefinitions and use of FHIR Shorthand (FSH) to ensure compliance with US Core profiles and organizational extensions.
  • Design and implement robust data enrichment strategies for ingestion, harmonization, curation, and deduplication of unstructured and semi-structured healthcare data (HL7 FHIR, HL7 v2, C-CDA), enabling the creation of longitudinal patient data stores.
  • Design and operationalize automated semantic interoperability and terminology mapping, building crosswalks between local interface codes and standards such as SNOMED CT, LOINC, RxNorm, and ICD-10 to ensure high-fidelity semantic consistency across the enterprise.
  • Apply rigorous validation logic and data quality processes to ensure data accuracy, integrity, and compliance with relevant standards.
  • Develop clear and concise documentation that effectively communicates data design requirements to engineering teams and stakeholders with varying levels of technical expertise.
WHAT YOU BRING
  • Bachelor's degree in Computer Science, Mathematics, or a medical-related field; Master's degree in Clinical Informatics required.
  • Minimum of 5 years' experience as a clinical informaticist, data architect, or data integration engineer in Healthcare or Life Sciences industries.
  • Expertise in standard data models and frameworks (e.g., FHIR, OMOP) and healthcare interoperability standards (e.g., HL7, NCPDP, CCD-A).
  • Demonstrated proficiency in healthcare knowledge standards and controlled terminologies (including SNOMED CT, LOINC, RxNorm).
  • Strong skills in SQL, Python, R, dbt, and Jupyter Notebook; experience with cloud computing platforms, version control systems (e.g., Git), and collaborative development tools.
  • Preferred: PhD in Clinical Informatics.
  • Preferred: Experience developing informatics solutions for precision care or clinical research.
  • Preferred: Knowledge of clinical practice, research, and workflows in hospital or ambulatory settings.
  • Preferred: Understanding of core Artificial Intelligence techniques.