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Artificial Intelligence Pathology Jobs (NOW HIRING)

Cynet Systems

Staff Pathologist

Tucson, AZ

Job Opportunity Perform diagnostic pathology analysis to assist in the development of Artificial Intelligence (AI) algorithms for quantitative image analysis. Ensure compliance with laboratory and ...

Lancesoft INC

Pathologist

Tucson, AZ · Remote

$80 - $90/hr

... pathology analysis to assist in the development of Artificial Intelligence (AI) algorithms for quantitative image analysis --Ensure compliance with laboratory and medical regulations --Collaborate ...

COREPLUS SERVICIOS CLINICOS Y PATOLOGICOS LLC

PR · On-site

$12/hr

Known worldwide for operationalizing the use of Artificial Intelligence (AI) in the diagnosis of ... The Position The Laboratory Pathology Assistant, under general supervision of a pathologist ...

Imh

$24.06 - $37.15/hr

The Pathology Technician Level I may perform tissue gross examination or dissection in accordance ... At Intermountain Health, we usethe artificial intelligence ("AI") platform, HiredScore to improve ...

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How much do artificial intelligence pathology jobs pay per hour?

As of Jun 17, 2026, the average hourly pay for artificial intelligence pathology in the United States is $25.79, according to ZipRecruiter salary data. Most workers in this role earn between $18.27 and $28.85 per hour, depending on experience, location, and employer.

How does an Artificial Intelligence Pathology professional typically collaborate with pathologists and other healthcare staff?

Professionals in Artificial Intelligence Pathology frequently work alongside pathologists, laboratory technicians, and IT specialists to develop and implement AI-driven diagnostic tools. Collaboration often involves gathering feedback from clinical staff to ensure the AI models are accurate, reliable, and user-friendly within real-world medical workflows. Regular interdisciplinary meetings are common to discuss system updates, troubleshoot issues, and review diagnostic outcomes, fostering a collaborative environment that integrates AI advancements into patient care.

What are the key skills and qualifications needed to thrive as an Artificial Intelligence Pathology specialist, and why are they important?

To thrive as an Artificial Intelligence Pathology specialist, you need a solid background in pathology, data science, machine learning, and typically an advanced degree in a related field. Familiarity with digital pathology platforms, image analysis software, and programming languages such as Python or R is essential, along with experience using AI development frameworks. Strong problem-solving, critical thinking, and interdisciplinary communication skills set exceptional professionals apart in this field. These competencies are crucial for developing, validating, and implementing AI solutions that improve diagnostic accuracy and workflow efficiency in pathology.

What is the difference between Artificial Intelligence Pathology vs Medical Laboratory Scientist?

AspectArtificial Intelligence PathologyMedical Laboratory Scientist
Required CredentialsAdvanced degrees in AI, computer science, or biomedical engineering; specialized training in pathology data analysisBachelor's degree in medical laboratory science or related field; certification often required
Work EnvironmentResearch labs, hospitals, tech companies focusing on diagnostic AI toolsClinical laboratories, hospitals, diagnostic labs
Employer & Industry UsageTech firms, healthcare startups, research institutionsHospitals, diagnostic labs, healthcare providers
Common Search & Comparison IntentUnderstanding AI roles in pathologyTraditional lab roles in pathology

Artificial Intelligence Pathology focuses on developing and applying AI algorithms to analyze pathology data, requiring advanced technical skills. Medical Laboratory Scientists perform laboratory tests and analyze samples using established procedures. While both work in pathology, AI Pathology emphasizes technology development, whereas Medical Laboratory Science centers on clinical testing and diagnostics.

What is artificial intelligence pathology?

Artificial intelligence pathology refers to the use of AI technologies, such as machine learning and deep learning, to assist pathologists in analyzing medical images and diagnosing diseases. AI systems can help identify patterns in pathology slides, detect abnormalities, and provide decision support, potentially improving accuracy and efficiency. This emerging field aims to enhance diagnostic workflows, reduce human error, and contribute to personalized medicine by leveraging large datasets and advanced algorithms.
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Artificial Intelligence Pathology jobs near you
Infographic showing various Artificial Intelligence Pathology job openings in the United States as of June 2026, with employment types broken down into 71% Full Time, and 29% Part Time. Highlights an 100% In-person job distribution, with an average salary of $53,652 per year, or $25.8 per hour.
Assistant Professor - Artificial Intelligence and Data Scientist

Assistant Professor - Artificial Intelligence and Data Scientist

Baylor College of Medicine

Houston, TX

Full-time

Posted 17 days ago

Baylor College of Medicine rating

8.6

Company rating: 8.6 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

51st of 537 rated colleges and universities

Job description

Summary

The Michael E. DeBakey Department of Surgery (department) in the Division of Cardio/Thoracic Surgery at Baylor College of Medicine (BCM) seeks a highly qualified individual with a PhD and postdoctoral experience in Computer Science, Data Science, Medical Informatics or Equivalent Field. The Assistant Professor – Data Scientist would serve as scientific lead for Dr. Ravi Ghanta, overseeing the Department of Surgery ATLAS AI program they would make decisions and take responsibility for scientific progress and help Dr. Ghanta manage the large team involved in the grant.

Under this role, the Assistant Professor will work on research projects involving machine learning and artificial intelligence with application to electronic health data. The Assistant Professor is expected to be able to perform overseeing data engineering of electronic health data for application of machine learning or artificial intelligence tools, interoperability with EHR systems, and evaluation of algorithm predictive performance. The Assistant Professor is also expected to lead research personnel involved in the Dept of Surgery ATLAS Ai program. They will interact directly with postdoctoral fellows, graduate students, and medical students.

Job Duties
  • Oversee and coordinate logistics and execution of various research projects.
  • Manage project progress and execution of project goals and milestones.
  • Plan and direct research experiments.
  • Organize, evaluate, and analyze data with other researchers.
  • Develop research techniques and perform applications required for specific research projects.
  • Conduct literature searches and summarize information in an appropriate format for a particular study.
  • Document results of experiments and reports to principal investigators.
  • Supervise, schedule and coordinate the activities of the research team involved in multiple research projects.
  • Write progress reports, manuscripts and grant proposals.
  • Lead clinical studies and participate in research involving human subjects. Interact directly with clinicians, surgeons, and pathologists to fulfill the aims of the research projects.
  • Supervise research staff including graduate and undergraduate students.
Minimum Qualifications
  • Ph.D. in computer science, data science, medical informatics, or related field.
  • Successful track record of collaboration with clinical investigators and in interdisciplinary teams; accomplished academic record sufficient to fulfill criteria for an assistant professor level faculty appointment at Baylor College of Medicine.

Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.

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