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Pathology Informatics Jobs in Texas (NOW HIRING)

Scorpion Therapeutics

Product Manager

Irving, TX · On-site

Run discovery with ordering physicians, pathologists, geneticists, laboratory operations, and ... Bachelor's degree (Business, CS, Engineering, Health Informatics, or related) or equivalent ...

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How much do pathology informatics jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for pathology informatics in Texas is $32.65, according to ZipRecruiter salary data. Most workers in this role earn between $23.75 and $38.75 per hour, depending on experience, location, and employer.

What is pathology informatics?

A Pathology Informatics job involves managing and analyzing digital pathology data, optimizing laboratory information systems, and supporting research through data-driven insights. Professionals in this field work at the intersection of pathology, IT, and data science to improve diagnostic accuracy, workflow efficiency, and patient outcomes. They may develop algorithms, maintain databases, and integrate AI tools to enhance pathology practices. These roles are critical in modern healthcare, ensuring seamless integration of technology in laboratory settings.

What does a pathology informatics professional do?

As a Pathology Informatics professional, your typical day often involves managing and optimizing laboratory information systems, ensuring data integrity, and supporting clinicians and laboratory staff with the integration of digital pathology tools. You may work closely with IT departments, pathologists, and healthcare administrators to streamline workflow processes, support troubleshooting, and implement new technologies. Additionally, you’ll contribute to quality assurance initiatives, regulatory compliance, and training users on informatics applications. This collaborative role requires balancing technical problem-solving with continual learning to keep up with advances in pathology and health informatics.

What are the key skills and qualifications needed to thrive in pathology informatics?

To thrive in Pathology Informatics, you need a strong background in medical laboratory science, information technology, and data analysis, often supported by degrees in pathology, computer science, or health informatics. Familiarity with laboratory information systems (LIS), electronic health records (EHRs), database management, and certifications such as ASCP or AMIA is highly valued. Strong problem-solving, communication, and project management skills help you navigate interdisciplinary teams and complex healthcare environments. Mastering these competencies is crucial for ensuring accurate data integration, improving laboratory workflows, and supporting effective clinical decision-making.

What are the most commonly searched types of Pathology Informatics jobs in Texas?

The most popular types of Pathology Informatics jobs in Texas are:

What are popular job titles related to Pathology Informatics jobs in Texas?

For Pathology Informatics jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Pathology Informatics jobs in Texas look for?

The top searched job categories for Pathology Informatics jobs in Texas are:

What cities in Texas are hiring for Pathology Informatics jobs?

Cities in Texas with the most Pathology Informatics job openings:

Pathology Informatics jobs near you
Infographic showing various Pathology Informatics job openings in Texas as of August 2026, with employment types broken down into 5% As Needed, 67% Full Time, 18% Part Time, and 10% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $67,913 per year, or $32.7 per hour.

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 26 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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