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Trinetx Jobs (NOW HIRING)

HPC Security Architect

Stony Brook, NY · On-site

$70.75 - $91.25/hr

Define secure data pipelines for clinical data (EMR integrations, TriNetX, OnCore/Cerner RPE), genomic and imaging data, and large-scale AI/ML datasets. Establish controls for secure collaboration ...

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How much do trinetx jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for trinetx in the United States is $26.34, according to ZipRecruiter salary data. Most workers in this role earn between $15.14 and $30.77 per hour, depending on experience, location, and employer.

What is a TriNetX?

A job at TriNetX typically involves working with real-world healthcare data to support clinical research, data analytics, and pharmaceutical studies. Employees may work in roles such as data analysis, software development, customer support, or research collaboration. TriNetX is a global health research network that connects healthcare organizations, life sciences companies, and researchers to accelerate clinical trial design and real-world evidence generation.

What are the typical responsibilities of someone working in a TriNetX role within a healthcare organization?

In a TriNetX role, you’ll often be responsible for managing and analyzing large sets of clinical data to support real-world evidence studies and trial feasibility assessments. This position frequently involves collaborating with researchers, clinicians, and data specialists to ensure the accuracy and usefulness of data for ongoing and prospective studies. You may also help develop tailored reports, deliver platform demonstrations or trainings, and provide support for data-driven decision-making. The role offers varied tasks each week and is highly collaborative, making it excellent for those who enjoy teamwork and innovation in the healthcare industry.

What are the key skills and qualifications needed to thrive in the TriNetX position, and why are they important?

TriNetX professionals typically possess strong analytical skills, a background in life sciences or healthcare, and experience in clinical research or data analytics. Proficiency with data visualization tools, electronic health records (EHR) systems, and familiarity with the TriNetX platform are highly valued, along with certifications in data science or clinical research. Excellent communication, problem-solving abilities, and collaboration skills help individuals excel in client-facing and cross-functional teams. These competencies are essential for leveraging real-world data to support clinical research and drive evidence-based decisions in the healthcare industry.

What cities are hiring for Trinetx jobs?

Cities with the most Trinetx job openings:

What are the most commonly searched types of Trinetx jobs?

The most popular types of Trinetx jobs are:

Infographic showing various Trinetx job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 78% In-person, 11% Hybrid, and 11% Remote job distribution, with an average salary of $54,791 per year, or $26.3 per hour.

Research Scientist II - Health and Clinical Outcomes Research

UTMB Health

Galveston, TX • On-site

Full-time

Re-posted 6 days ago


UTMB Health rating

7.2

Company rating: 7.2 out of 10

Based on 171 frontline employees who took The Breakroom Quiz

345th of 898 rated healthcare providers


Job description

DEPT MARKETING STATEMENT:
UTMB's new Center for Health and Clinical Outcomes Research (H-COR) seeks Research Scientists to advance decision-grade evidence from real-world data to study and understand human health. H-COR leverages Epic EHR (Clarity/Caboodle and Cosmos), TriNetX, Medicare and other administrative data. H-COR has an interest in pairing outcomes research with secure, principled integration of high-dimensional modalities (e.g., transcriptomics, proteomics, pathogen genomics). Also of interest is the utilization of novel data sources including those derived from social media, mobile phones, wearables, and other digital sources. Researchers at H-COR collaborate across all five UTMB schools
JOB DESCRIPTION:
Conducts innovative scientific investigation by developing theories and devising scientific methods and procedures to apply scientific principles, theories and research in projects related to the mission of UTMB. Committed to the discovery of new innovative biomedical and health services knowledge leading to increasingly effective and accessible health care. Assures competence as a fully trained scientist in a specific discipline or area of expertise.
ESSENTIAL JOB FUNCTIONS:
  • 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

MINIMUM QUALIFICATIONS:
Ph. D, M.D, D.O., or D.V.M in related field and one year of related experience.
PREFERRED QUALIFICATIONS:
  • 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

SALARY:
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.

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