The University of Texas Medical Branch · 2 months ago
Research Scientist II - Health and Clinical Outcomes Research
The University of Texas Medical Branch is seeking Research Scientists to advance decision-grade evidence from real-world data to study and understand human health. The role involves conducting innovative scientific investigations and contributing to high-impact health and clinical outcomes research using advanced data analyses and collaboration across various schools at UTMB.
Hospital & Health Care
Responsibilities
Leading and contributing to high-impact health and clinical outcomes research
Planning and performing advanced data analyses using UTMB's exceptional data infrastructure, with particular emphasis on electronic health record (EHR) data including EPIC, EPIC Cosmos, TriNetX, and Medicare administrative datasets
Building transparent cohort definitions and phenotypes using ICD-10/PCS, CPT/HCPCS, LOINC, and RxNorm
Implementing modern causal-inference strategies (e.g., target-trial emulation, robust confounding control, time-to-event and longitudinal models, principled handling of missingness, falsification and sensitivity analyses)
Collaborating across UTMB’s schools on defined research programs
Contributing to abstracts, manuscripts, and grant applications as PI/Co-I or key personnel
Integrating clinical timelines with multi-omics and other high-dimensional data while preserving clinical interpretability and privacy
Presenting research at professional meetings and conferences
Participating in H-COR's monthly works-in-progress seminars
Qualification
Required
Ph. D, M.D, D.O., or D.V.M in related field and one year of related experience
Preferred
PhD or equivalent doctoral degree in a relevant discipline (health services research, epidemiology, biostatistics, data science, computer science, or a closely related field)
A track record in health and clinical outcomes methods
Demonstrated expertise analyzing clinical and population-health data with specific experience in EHR analytics
Proficiency with large healthcare databases (Epic, Epic Cosmos, TriNetX, Medicare)
Fluency in at least two of R, Python, SAS, and SQL
Excellent scientific writing and communication
Evidence of peer-reviewed publications commensurate with career stage
Experience with OMOP and HL7 FHIR data models
Hands-on practice with target-trial emulation and advanced propensity and longitudinal methods
Clinically oriented NLP and time-aware feature extraction
Familiarity with multi-omics data structures and cautious EHR-omics linkage
Experience in HPC or cloud settings (e.g., TACC, Azure, AWS) and workflow engines that promote end-to-end reproducibility
Mentorship of analysts or trainees
A record of effective, cross-disciplinary collaboration in an academic health-sciences environment
Company
The University of Texas Medical Branch
The University of Texas Medical Branch is a component of the University of Texas System located in Galveston, Texas
H1B Sponsorship
The University of Texas Medical Branch has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (73)
2024 (66)
2023 (52)
2022 (57)
2021 (49)
2020 (50)
Funding
Current Stage
Late StageTotal Funding
$35MKey Investors
National Institute of Allergy and Infectious Diseases
2024-09-13Grant
2019-04-09Grant· $35M
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