Senior Clinical Informatics Data Scientist

The University of Texas at Arlington Portal•Arlington, TX

12h•Hybrid

About The Position

The Senior Clinical Informatics Data Scientist supports the development of UTA’s healthcare informatics research and education programs in collaboration with Cook Children’s Health Care System. The position focuses on turning clinical and real-world data into meaningful research, education, and evidence-based insights. The individual will work closely with faculty, clinicians, and data teams to design studies, analyze data, and support publication.

Requirements

Doctoral degree or clinical doctorate with research training, such as PhD, DrPH, MD, DO, PharmD, DNP , or equivalent, or master’s-level training with substantial applied healthcare data research experience
Three (3) years of experience conducting healthcare data research
Experience with statistical analysis and study design
Proficiency in at least one analytic tool (e.g., SQL , R, Python, SAS , or similar)
Experience working with clinical or real-world healthcare data
An equivalent mix of education and relevant experience in similar roles may also be accepted.

Nice To Haves

Doctoral or clinical doctorate (PhD, MD, DrPH, etc.) or equivalent experience
Epic systems, Cosmos, or similar healthcare data platforms
Experience in clinical informatics, epidemiology, or real-world evidence research
Experience with scientific writing and publication

Responsibilities

Serve as a key contributor in building and supporting a healthcare informatics education and research program in collaboration with Cook Children’s Health Care System.
Develop and support scalable infrastructure, tools, and workflows for clinical research, real-world evidence, and data-driven education initiatives.
Collaborate with clinicians, researchers, and technical teams to translate clinical and research questions into structured study designs and analytical plans.
Work closely with the Senior Healthcare Data Architect to develop cohorts, data specifications, and reproducible research workflows.
Conduct analyses using clinical and real-world healthcare data to generate insights, reports, and publication-ready outputs.
Lead or contribute to manuscripts, abstracts, reports, and presentations for academic, clinical, and operational audiences.
Provide training, mentorship, and guidance to faculty, students, and collaborators on clinical data science and research methods.
Apply clinical informatics and epidemiologic methods to ensure research quality, validity, and reproducibility.
Support cohort development, phenotype definition, and data validation across multiple healthcare data sources.
Interpret and communicate findings to academic, clinical, and operational stakeholders.
Ensure compliance with data governance, privacy, security, and regulatory requirements while working with sensitive clinical data.
Other duties as assigned.