Job Description

JOB SUMMARYResponsible for developing, preparing, interpreting, and monitoring moderate–to–complex health process and outcomes data analyses, projections, data modeling, and reports used by system management in decision-making. Develops, implements, and monitors reporting and analysis solutions from multiple databases to ensure efficient processing, up-to-date tools, improved patient experience, and clinical and operational efficiencies. Serves as an expert resource to provide reporting and analysis guidance and support. Responsible for weekly, monthly, quarterly, annual, and ad-hoc reports design and distribution.ESSENTIAL JOB FUNCTIONS Supporting high-impact outcomes and translational research projects that span clinical service lines central to UTMB’s mission.Conducting data curation, quality review, harmonization, and analysis using Epic Clarity/Caboodle and Epic Cosmos, TriNetX, and Medicare administrative datasets.Designing and implementing reproducible cohort construction, feature engineering, and phenotype definitions using ICD-10/PCS, CPT/HCPCS, LOINC, RxNorm, and related code systems.Applying modern statistical and causal-inference methods including time-to-event models, confounding control, target-trial emulation, missing-data strategies, and robustness checks to observational clinical data.Preparing decision-ready summaries, figures, and narratives for research teams, manuscripts, abstracts, and grant deliverables.Developing clear visualizations and stakeholder-oriented presentations that make complex findings clinically interpretable.Integrating clinical timelines with multi-omics datasets (e.g., scRNA-seq, proteomics, pathogen genomics) using privacy-preserving linkage and disciplined study design.Documenting analytic choices end-to-end with version control and workflow tools so results are traceable and auditable across environments.Adhering to data governance, HIPAA/IRB requirements, and DUA constraints while enabling responsible data access for collaborators.Contributing to H-COR’s training culture by sharing templates, code patterns, and documentation that raise the analytic bar across projects.Manuscript and presentation support. EDUCATION & EXPERIENCEMinimum Qualifications:Bachelor degree in informatics, information technology, business, data science, or a related field.Three (3) years of directly-related work experiencePreferred Qualifications:Masters degree in informatics, information technology, business, data science, or a related field.At least five years of experience working in academic health science center. Experience collaborating with physician or clinical scientists or practitionersDepartment Marketing Statement:UTMB’s new Center for Health and Clinical Outcomes Research (H-COR) invites applications for a Data Analyst to help convert complex clinical and population-health data into decision-grade evidence.The analyst will work closely with H-COR’s translational informatics lead and other collaborators across UTMB’s schools to support comparative effectiveness and safety studies, advanced phenotyping from Epic EHR data, and responsible linkage of EHR with high-dimensional modalities (e.g., single-cell and bulk transcriptomics, proteomics, pathogen genomics). The position emphasizes rigorous causal inference, transparent and reproducible analytics, and clear communication with clinical partners. Experience in using novel data sources including those derived from social media, mobile phones, wearables, and other digital sources is also of interest. Salary Range:Commensurate with experience.EQUAL EMPLOYMENT OPPORTUNITY:UTMB Health strives to provide equal opportunity employment without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, genetic information, disability, veteran status, or any other basis protected by institutional policy or by federal, state or local laws unless such distinction is required by law. As a Federal Contractor, UTMB Health takes affirmative action to hire and advance protected veterans and individuals with disabilities. Compensation

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