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Clinical Informatics Engineer Jobs in Texas (NOW HIRING)

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Technical Solutions Engineer - Pre

Dallas, TX · On-site

You will work closely with Product, Engineering, Clinical Informatics, Data Science, and Commercial teams to shape both customer solutions and future product capabilities.# ****Responsibilities*

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Clinical Informatics Engineer information

What is a clinical informatics engineer?

A Clinical Informatics Engineer is a professional who combines expertise in healthcare, information technology, and data analytics to improve the quality and efficiency of patient care. They design, implement, and manage electronic health record (EHR) systems and other health information technologies to ensure seamless integration and usability. Their role often involves collaborating with clinicians and IT staff to optimize workflows, support clinical decision-making, and ensure compliance with healthcare regulations. Clinical Informatics Engineers play a key role in bridging the gap between clinical needs and technical solutions in healthcare organizations.

How does a clinical informatics engineer typically collaborate with healthcare providers and IT teams?

Clinical Informatics Engineers play a crucial role in bridging the gap between clinical staff and technical teams. They work closely with healthcare providers to understand clinical workflows and requirements, translating these into system configurations or improvements. Regular collaboration involves gathering feedback from clinicians, troubleshooting issues, and working with IT specialists to implement, optimize, and maintain electronic health record (EHR) systems and other health technologies. This teamwork ensures that digital solutions effectively support patient care and comply with healthcare regulations.

What are the key skills and qualifications needed to thrive as a clinical informatics engineer, and why are they important?

To thrive as a Clinical Informatics Engineer, you need a strong background in healthcare IT, data analysis, and systems integration, often supported by degrees in health informatics, computer science, or related fields. Familiarity with electronic health record (EHR) systems, HL7/FHIR standards, and clinical decision support tools, as well as certifications like CPHIMS or CAHIMS, are typically required. Excellent problem-solving, communication, and collaboration skills help bridge the gap between technical teams and clinical stakeholders. These competencies enable effective implementation of technology solutions that improve patient care, workflow efficiency, and data integrity in healthcare environments.

What cities in Texas are hiring for Clinical Informatics Engineer jobs?

Cities in Texas with the most Clinical Informatics Engineer job openings:

POSTDOCTORAL RESEARCHER-HDSB-Xiao Lab-[Req#: 914775, Position#: 123269]

Dallas, TX • On-site

UT Southwestern Medical Center
Hospitals • 10K+ employees
Learn more about UT Southwestern Medical Centerexternal

Full-time

Re-posted 25 days ago

UT Southwestern rating

7.9

Company rating: 7.9 out of 10

Based on 152 frontline employees who took The Breakroom Quiz

Job description

Description
A postdoctoral fellow position in AI and Data Science is now available in the laboratories of Dr. Guanghua Xiao at the Quantitative Biomedical Research Center in the Peter O'Donnell School of Public Health at UT Southwestern Medical Center at UT Southwestern Medical Center at Dallas.
The Quantitative Biomedical Research Center (QBRC) is a well-established interdisciplinary research center at UT Southwestern that brings together experts in artificial intelligence, machine learning, predictive modeling, clinical informatics, digital pathology, and biomedical data science. Our goal is to develop cutting-edge computational methods and tools that enable novel discoveries and support data-driven decision-making in health care and public health.
We are seeking highly motivated, creative, and collaborative postdoctoral candidates to join our dynamic team and contribute to a portfolio of research projects applying AI and data science to real-world health care and public health data. The main research areas include:
• Electronic Health Records (EHR)
• Medical imaging (e.g., radiology and pathology)
• Real-time monitoring and wearable sensor data
The successful candidate will have the opportunity to lead and contribute to innovative projects in clinical prediction modeling, disease progression modeling, population health surveillance, and digital biomarker discovery. Our center also supports strong collaborations with clinicians, data scientists, and public health researchers.
Qualifications:
• Ph.D. in Computer Science, Statistics, Biomedical Informatics, Engineering, or a related field.
• Strong programming skills and experience with machine learning, deep learning, or AI applications.
• Interest or experience in working with large-scale health-related datasets.
Qualifications
Qualifications:
• Ph.D. in Computer Science, Statistics, Biomedical Informatics, Engineering, or a related field.
• Strong programming skills and experience with machine learning, deep learning, or AI applications.
• Interest or experience in working with large-scale health-related datasets.
Application Instructions
Application materials must be submitted through Interfolio.
Interested individuals must upload a CV, cover letter, and a list of three references.

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