... TriNetX). Experience in ophthalmology or vision-related research is preferred but not required. The selected candidate will develop and lead an innovative, externally funded research program ...
... TriNetX). Experience in ophthalmology or vision-related research is preferred but not required. The selected candidate will develop and lead an innovative, externally funded research program ...
Sr. Manager/Associate Director- Tech Consulting (Pharma/Lifesciences)
Jersey City, NJ · On-site
$180 - $230/hr
Claims and Prescriber data (e.g., IQVIA Xponent, Plantrak, LAAD, PE), Execution data (e.g., Veeva CRM), Real-World Data (RWD) sources such as TriNetX, Flatiron, Optum, and Komodo. Specialty Pharmacy ...
Posted today
Sr. Manager/Associate Director- Tech Consulting (Pharma/Lifesciences)
Jersey City, NJ · On-site
$180 - $230/hr
Claims and Prescriber data (e.g., IQVIA Xponent, Plantrak, LAAD, PE), Execution data (e.g., Veeva CRM), Real-World Data (RWD) sources such as TriNetX, Flatiron, Optum, and Komodo. Specialty Pharmacy ...
Posted today
Claims and Prescriber data (e.g., IQVIA Xponent, Plantrak, LAAD, PE), Execution data (e.g., Veeva CRM), Real-World Data (RWD) sources such as TriNetX, Flatiron, Optum, and Komodo. Specialty Pharmacy ...
Claims and Prescriber data (e.g., IQVIA Xponent, Plantrak, LAAD, PE), Execution data (e.g., Veeva CRM), Real-World Data (RWD) sources such as TriNetX, Flatiron, Optum, and Komodo. Specialty Pharmacy ...
Claims and Prescriber data (e.g., IQVIA Xponent, Plantrak, LAAD, PE), Execution data (e.g., Veeva CRM), Real-World Data (RWD) sources such as TriNetX, Flatiron, Optum, and Komodo. Specialty Pharmacy ...
Claims and Prescriber data (e.g., IQVIA Xponent, Plantrak, LAAD, PE), Execution data (e.g., Veeva CRM), Real-World Data (RWD) sources such as TriNetX, Flatiron, Optum, and Komodo. Specialty Pharmacy ...
Sr. Manager/Associate Director- Tech Consulting (Pharma/Lifesciences)
Jersey City, NJ · On-site
$180 - $240/hr
Claims and Prescriber data (e.g., IQVIA Xponent, Plantrak, LAAD, PE), Execution data (e.g., Veeva CRM), Real-World Data (RWD) sources such as TriNetX, Flatiron, Optum, and Komodo. Specialty Pharmacy ...
Sr. Manager/Associate Director- Tech Consulting (Pharma/Lifesciences)
Jersey City, NJ · On-site
$180 - $240/hr
Claims and Prescriber data (e.g., IQVIA Xponent, Plantrak, LAAD, PE), Execution data (e.g., Veeva CRM), Real-World Data (RWD) sources such as TriNetX, Flatiron, Optum, and Komodo. Specialty Pharmacy ...
Claims and Prescriber data (e.g., IQVIA Xponent, Plantrak, LAAD, PE), Execution data (e.g., Veeva CRM), Real-World Data (RWD) sources such as TriNetX, Flatiron, Optum, and Komodo. Specialty Pharmacy ...
Claims and Prescriber data (e.g., IQVIA Xponent, Plantrak, LAAD, PE), Execution data (e.g., Veeva CRM), Real-World Data (RWD) sources such as TriNetX, Flatiron, Optum, and Komodo. Specialty Pharmacy ...
Claims and Prescriber data (e.g., IQVIA Xponent, Plantrak, LAAD, PE), Execution data (e.g., Veeva CRM), Real-World Data (RWD) sources such as TriNetX, Flatiron, Optum, and Komodo. Specialty Pharmacy ...
Quick apply
Claims and Prescriber data (e.g., IQVIA Xponent, Plantrak, LAAD, PE), Execution data (e.g., Veeva CRM), Real-World Data (RWD) sources such as TriNetX, Flatiron, Optum, and Komodo. Specialty Pharmacy ...
Claims and Prescriber data (e.g., IQVIA Xponent, Plantrak, LAAD, PE), Execution data (e.g., Veeva CRM), Real-World Data (RWD) sources such as TriNetX, Flatiron, Optum, and Komodo. Specialty Pharmacy ...
Claims and Prescriber data (e.g., IQVIA Xponent, Plantrak, LAAD, PE), Execution data (e.g., Veeva CRM), Real-World Data (RWD) sources such as TriNetX, Flatiron, Optum, and Komodo. Specialty Pharmacy ...
Claims and Prescriber data (e.g., IQVIA Xponent, Plantrak, LAAD, PE), Execution data (e.g., Veeva CRM), Real-World Data (RWD) sources such as TriNetX, Flatiron, Optum, and Komodo. Specialty Pharmacy ...
Quick apply
Claims and Prescriber data (e.g., IQVIA Xponent, Plantrak, LAAD, PE), Execution data (e.g., Veeva CRM), Real-World Data (RWD) sources such as TriNetX, Flatiron, Optum, and Komodo. Specialty Pharmacy ...
Claims and Prescriber data (e.g., IQVIA Xponent, Plantrak, LAAD, PE), Execution data (e.g., Veeva CRM), Real-World Data (RWD) sources such as TriNetX, Flatiron, Optum, and Komodo. Specialty Pharmacy ...
Claims and Prescriber data (e.g., IQVIA Xponent, Plantrak, LAAD, PE), Execution data (e.g., Veeva CRM), Real-World Data (RWD) sources such as TriNetX, Flatiron, Optum, and Komodo. Specialty Pharmacy ...
Associate Director / Director Commercial Analytics (Pharma & Lifescience)
Boston, MA · On-site
$130 - $160/hr
Fluency with pharma data sources such as Veeva and IQVIA (Plantrak, LAAD, PE, etc) including RWD sources such as TriNetX, Flatiron, Optum, Komodo etc. * Experience working with all levels of ...
Associate Director / Director Commercial Analytics (Pharma & Lifescience)
Boston, MA · On-site
$130 - $160/hr
Fluency with pharma data sources such as Veeva and IQVIA (Plantrak, LAAD, PE, etc) including RWD sources such as TriNetX, Flatiron, Optum, Komodo etc. * Experience working with all levels of ...
Fluency with pharma data sources such as Veeva and IQVIA (Plantrak, LAAD, PE, etc) including RWD sources such as TriNetX, Flatiron, Optum, Komodo etc. * Experience working with all levels of ...
Fluency with pharma data sources such as Veeva and IQVIA (Plantrak, LAAD, PE, etc) including RWD sources such as TriNetX, Flatiron, Optum, Komodo etc. * Experience working with all levels of ...
Conducting data curation, quality review, harmonization, and analysis using Epic Clarity/Caboodle and Epic Cosmos, TriNetX, and Medicare administrative datasets. * Designing and implementing ...
Conducting data curation, quality review, harmonization, and analysis using Epic Clarity/Caboodle and Epic Cosmos, TriNetX, and Medicare administrative datasets. * Designing and implementing ...
Leverage deep understanding of Life Sciences data ecosystems, including Veeva, IQVIA (PlanTrak, LAAD, PE, Xponent), and Real-World Data sources such as TriNetX, Flatiron, Optum, and Komodo. * Partner ...
Leverage deep understanding of Life Sciences data ecosystems, including Veeva, IQVIA (PlanTrak, LAAD, PE, Xponent), and Real-World Data sources such as TriNetX, Flatiron, Optum, and Komodo. * Partner ...
Conducting data curation, quality review, harmonization, and analysis using Epic Clarity/Caboodle and Epic Cosmos, TriNetX, and Medicare administrative datasets. * Designing and implementing ...
Conducting data curation, quality review, harmonization, and analysis using Epic Clarity/Caboodle and Epic Cosmos, TriNetX, and Medicare administrative datasets. * Designing and implementing ...
HPC Security Architect
$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 ...
HPC Security Architect
$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 ...
Fluency with pharma data sources such as Veeva and IQVIA (Plantrak, LAAD, PE, etc) including RWD sources such as TriNetX, Flatiron, Optum, Komodo etc. * Experience working with all levels of ...
Quick apply
Fluency with pharma data sources such as Veeva and IQVIA (Plantrak, LAAD, PE, etc) including RWD sources such as TriNetX, Flatiron, Optum, Komodo etc. * Experience working with all levels of ...
Conducting data curation, quality review, harmonization, and analysis using Epic Clarity/Caboodle and Epic Cosmos, TriNetX, and Medicare administrative datasets. * Designing and implementing ...
Conducting data curation, quality review, harmonization, and analysis using Epic Clarity/Caboodle and Epic Cosmos, TriNetX, and Medicare administrative datasets. * Designing and implementing ...
Fluency with pharma data sources such as Veeva and IQVIA (Plantrak, LAAD, PE, etc) including RWD sources such as TriNetX, Flatiron, Optum, Komodo etc. * Experience working with all levels of ...
Fluency with pharma data sources such as Veeva and IQVIA (Plantrak, LAAD, PE, etc) including RWD sources such as TriNetX, Flatiron, Optum, Komodo etc. * Experience working with all levels of ...
Conducting data curation, quality review, harmonization, and analysis using Epic Clarity/Caboodle and Epic Cosmos, TriNetX, and Medicare administrative datasets. * Designing and implementing ...
Conducting data curation, quality review, harmonization, and analysis using Epic Clarity/Caboodle and Epic Cosmos, TriNetX, and Medicare administrative datasets. * Designing and implementing ...
Trinetx information
See salary details
$8.89 - $13.70
16% of jobs
$15.17 is the 25th percentile. Wages below this are outliers.
$13.70 - $18.51
29% of jobs
The median wage is $19.71 / hr.
$18.51 - $23.32
19% of jobs
$27.58 is the 75th percentile. Wages above this are outliers.
$23.32 - $28.13
12% of jobs
$28.13 - $32.93
8% of jobs
$32.93 - $37.74
5% of jobs
$37.74 - $42.55
4% of jobs
$42.55 - $47.36
2% of jobs
$47.36 - $52.16
2% of jobs
$52.16 - $56.97
1% of jobs
$56.97 - $61.78
1% of jobs
$8
$26
$61
How much do trinetx jobs pay per hour?
As of Aug 17, 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.
More about Trinetx jobs
What are the most commonly searched types of Trinetx jobs?
The most popular types of Trinetx jobs are:
What job categories do people searching Trinetx jobs look for?
The top searched job categories for Trinetx jobs are:
Assistant Professor (Ophthalmology Research Track)
Philadelphia, PA • On-site
Full-time
Re-posted 26 days ago
University Of Pennsylvania rating
8.1
Based on 81 frontline employees who took The Breakroom Quiz
162nd of 618 rated colleges and universities
Job description
Description
The Department of Ophthalmology at the Perelman School of Medicine at the University of Pennsylvania seeks outstanding candidates for a full-time Assistant Professor position in the Research Track. This position is intended for individuals with a strong commitment to independent research, with a particular focus on leveraging large-scale healthcare data to advance ophthalmic clinical research and patient care. A PhD, MD, and/or equivalent degree in epidemiology, biostatistics, data science, pharmaceutical sciences, health services research, or a related field is required. Expertise is required in pharmacoepidemiology and in artificial intelligence, machine learning methods, and in the analysis of large healthcare datasets (e.g., EHR, claims, or real-world data platforms such as TriNetX). Experience in ophthalmology or vision-related research is preferred but not required.
The selected candidate will develop and lead an innovative, externally funded research program utilizing large-scale data sources, including electronic health records (EHR), administrative health claims, and national or international research networks (e.g., TriNetX and similar platforms), to address critical questions in ophthalmology and vision science.
We are seeking candidates who can demonstrate:
Research responsibilities may include:
The Department of Ophthalmology provides a highly collaborative and interdisciplinary environment, with access to rich clinical data resources, institutional data warehouses, and established partnerships across the University of Pennsylvania. The selected candidate will have opportunities to engage with leading programs in biomedical informatics, population health, and translational science.
The Department of Ophthalmology at the Perelman School of Medicine at the University of Pennsylvania seeks outstanding candidates for a full-time Assistant Professor position in the Research Track. This position is intended for individuals with a strong commitment to independent research, with a particular focus on leveraging large-scale healthcare data to advance ophthalmic clinical research and patient care. A PhD, MD, and/or equivalent degree in epidemiology, biostatistics, data science, pharmaceutical sciences, health services research, or a related field is required. Expertise is required in pharmacoepidemiology and in artificial intelligence, machine learning methods, and in the analysis of large healthcare datasets (e.g., EHR, claims, or real-world data platforms such as TriNetX). Experience in ophthalmology or vision-related research is preferred but not required.
The selected candidate will develop and lead an innovative, externally funded research program utilizing large-scale data sources, including electronic health records (EHR), administrative health claims, and national or international research networks (e.g., TriNetX and similar platforms), to address critical questions in ophthalmology and vision science.
We are seeking candidates who can demonstrate:
- A strong record of peer-reviewed publications.
- Evidence of, or strong potential for, securing independent research funding.
- Excellent communication and collaboration skills.
Research responsibilities may include:
- Establish and sustain an independent, high-impact research program in ophthalmology using real-world data sources.
- Contribute to ophthalmology research through expertise in pharmacoepidemiology, real-world evidence generation, and advanced analytics using EHR and claims data.
- Lead and support both methodological and applied research, including the development and implementation of analyses integrating artificial intelligence and machine learning to evaluate treatment effectiveness and safety.
- Design and conduct studies using large-scale datasets, including EHR, claims databases, registries, and federated data networks.
- Perform and oversee programming and advanced statistical analyses using large, complex datasets.
- Collaborate with clinical faculty, data scientists, and interdisciplinary teams across the University of Pennsylvania.
- Contribute to manuscript preparation, publication, and dissemination of research findings in collaboration with project investigators.
- Secure extramural funding from federal agencies (e.g., NIH), foundations, and industry.
- Publish findings in high-impact peer-reviewed journals and present at national and international conferences.
- Mentor and supervise master-level biostatisticians in conducting statistical analyses of large-scale ophthalmic datasets.
- Mentor trainees, including fellows, residents, and graduate students.
The Department of Ophthalmology provides a highly collaborative and interdisciplinary environment, with access to rich clinical data resources, institutional data warehouses, and established partnerships across the University of Pennsylvania. The selected candidate will have opportunities to engage with leading programs in biomedical informatics, population health, and translational science.
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About University of Pennsylvania
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The University of Pennsylvania, the largest private employer in Philadelphia, is a world-renowned leader in education, research, and innovation. This historic, Ivy League school consistently ranks among the top 10 universities in the annual U.S. News & World Report survey. Penn has 12 highly-regarded schools that provide opportunities for undergraduate, graduate and continuing education, all influenced by Penn's distinctive interdisciplinary approach to scholarship and learning. As an employer Penn has been ranked nationally on many occasions with the most recent award from Forbes who named Penn one of America's Best Employers By State in 2021.
Industry
Colleges, universities, and professional schools
Company size
10,000+ Employees
Headquarters location
Philadelphia, PA, US
Year founded
1740