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Manager Health Informatics Data Analyst Jobs in Texas

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 ...

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 ...

The Informatics Sales Specialist team influences bio-informatics data analysis and data management ... and Healthcare sectors. Responsibilities * Lead the specialized sales team that drives customer ...

Senior Business Data Analyst

Plano, TX ยท On-site

$80K - $101K/yr

Triage and manage incoming data requests and tickets from business stakeholders, prioritizing based ... Bachelor's degree in Health Informatics, Information Systems, Statistics, Business Analytics, or ...

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Manager Health Informatics Data Analyst information

What is the difference between Manager Health Informatics Data Analyst vs Health Informatics Data Analyst?

AspectManager Health Informatics Data AnalystHealth Informatics Data Analyst
CredentialsBachelor's or Master's in Health Informatics, Data Science, or related fields; certifications like CPHIMS or CHDABachelor's degree in Health Informatics, Data Science, or related fields; certifications are optional
Work EnvironmentSupervises teams, manages projects, collaborates with healthcare providers and IT departmentsAnalyzes healthcare data, supports decision-making, collaborates with clinical and IT staff
Employer & Industry UsageHospitals, healthcare systems, health IT companies, government agenciesHospitals, clinics, health IT firms, research organizations

The Manager Health Informatics Data Analyst typically has leadership responsibilities, overseeing data teams and projects, while the Health Informatics Data Analyst focuses on analyzing healthcare data to support clinical and operational decisions. Both roles require similar educational backgrounds and certifications but differ mainly in scope and level of responsibility.

What are the most commonly searched types of Health Informatics Data Analyst jobs in Texas?

The most popular types of Health Informatics Data Analyst jobs in Texas are:

What cities in Texas are hiring for Manager Health Informatics Data Analyst jobs?

Cities in Texas with the most Manager Health Informatics Data Analyst job openings:

Clinical Informatics Data Engineer

Coppell, TX โ€ข On-site

Medasource
Health Care and Social Assistanceย โ€ขย 201 - 500 employees

$60 - $80/hr

Contractor

This job post hasย expired today.ย Applications are no longer accepted.


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.