Healthcare Data Architect

The University of Texas at Arlington; Arlington (TX); On-site; USD 110,000 - 160,000; Full time

Benefits offered by this job

Benefits eligible

Comprehensive benefits

Job summary

The University of Texas at Arlington seeks a doctoral-level informaticist to advance healthcare data research and education through Epic Cosmos and related platforms. This role translates clinical, genomic, and operational questions into validated cohorts and reproducible data assets for dashboards, training materials, and studies.

The position collaborates with Cook Children’s Health Care System, Epic analysts, statisticians, and researchers to ensure compliant workflows, data dictionaries, and

Qualifications

• Doctoral degree with research training and experience in healthcare data research.
• Eleven years of equivalent education/experience acceptable as alternative.

Responsibilities

• Build and maintain Epic Cosmos, SlicerDicer, DSVM, SQL, Cogito, Clarity, and Caboodle assets for research and education.
• Develop validated SQL-based data marts and analytic templates in secure environments.
• Translate clinical and research questions into computable cohorts and data specs.
• Collaborate with Epic analysts, informaticists, statisticians, privacy teams, and researchers.
• Support project intake, feasibility, prioritization, and portfolio tracking.
• Create data dictionaries, validation protocols, and technical documentation.
• Design data-quality and validation workflows addressing variation and missingness.

Skills

SQL

R

Python

SAS

Data analysis

Communication

Collaboration

Study design

Education

Doctoral degree or clinical doctorate with research training

Tools

Epic Cosmos

SlicerDicer

DSVM

SQL

Cogito

Clarity

Caboodle

Job description

Purpose of Position

This role supports the development of UTA's healthcare informatics research and education programs in collaboration with Cook Children's Health Care System. The position will help build the technical foundation for approved Cook Children's and Epic Cosmos data use by translating clinical, genomic, operational, and research questions into validated cohorts, reusable data assets, analytic datasets, dashboards, training materials, and reproducible workflows.

Essential Functions

• Build and maintain reusable Epic Cosmos, SlicerDicer, DSVM, SQL, Cogito, Clarity, and Caboodle query assets for research, education, quality improvement, real world evidence, and precision health projects.
• Develop validated SQL-based data marts, research-ready analytic datasets, dashboards, notebooks, and reusable analytic templates in approved secure analytics environments.
• Translate faculty, student, clinical, genomic, operational, and research questions into computable cohorts, data specifications, phenotype definitions, and reproducible analytic workflows.
• Partner with Cook Children’s Epic analysts, clinical informaticists, statisticians, privacy/security teams, and UTA researchers to support compliant healthcare data workflows.
• Support project intake, feasibility assessment, prioritization, documentation, portfolio tracking, and contributions to abstracts, manuscripts, grants, reports, presentations, and leadership deliverables.
• Create and maintain data dictionaries, query examples, validation protocols, user guides, training materials, and technical documentation for healthcare informatics users.
• Design and implement data-quality and validation workflows addressing coding variation, missingness, duplicate records, vocabulary mapping, unit harmonization, site heterogeneity, and phenotype drift.
• Performs other duties as assigned.

Required Qualifications

• Doctoral degree or clinical doctorate with research training, such as a PhD, DrPH, MD, DO, PharmD, DNP, and three (3) years of experience conducting healthcare data research, including statistical analysis, study design, and work with clinical or real-world healthcare data; OR eleven (11) years of an equivalent combination of education and experience.

Preferred Qualifications

• Experience using Epic systems, Cosmos, or similar healthcare data platforms; working in clinical informatics, epidemiology, or real-world evidence research, and contributing to scientific writing and publication.

Knowledge, Skills & Abilities

• Proficiency in at least one analytic tool (e.g., SQL, R, Python, SAS, or similar)
• Strong understanding of clinical data, study design, and statistical methods
• Ability to translate clinical questions into analytical approaches
• Strong data analysis and problem-solving skills
• Effective communication with both technical and non-technical audiences
• Ability to work collaboratively across teams and disciplines

Work Schedule

• Monday through Friday; 8:00am through 5:00pm

Benefits Information

Position is benefit eligible: Yes

We are proud to offer a comprehensive benefits package to our employees at the University.

https://www.uta.edu/hr/employee-benefits