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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.
Post Doctoral Associate

Post Doctoral Associate

University of Pittsburgh

Pittsburgh, PA

Other

Posted 6 days ago

Job description

Job Title: Postdoctoral Research Scientist - Artificial Intelligence in Medicine

 Summary:

We are seeking a highly skilled and motivated Postdoctoral Research Scientist to join the Computational Pathology & AI Center of Excellence (CPACE) at the University of Pittsburgh School of Medicine. This position will play a vital role in driving high-quality outcomes in artificial intelligence in medicine, with a focus on large language models, natural language processing (NLP), and vision-language modeling. Working under the guidance of Dr. Hooman Rashidi, Executive Director of CPACE, the successful candidate will drive impactful research and innovation at the intersection of artificial intelligence and healthcare, working collaboratively with an interdisciplinary team to design, implement, and optimize AI functions that align with end-user and clinical needs.

Responsibilities:

*  Will lead and pioneer the research and development of AI methodologies and solutions specifically designed to address healthcare

challenges.

*  Execute both qualitative and quantitative studies to evaluate the effectiveness and potential of AI tools in clinical and

translational medicine.

*  Work collaboratively with an interdisciplinary team, comprising experts in computer science, healthcare and clinical research,

to design, implement and optimize AI functions that align with end-user and clinical needs.

*  Disseminate research findings through publications in top-tier, peer-reviewed journals and presentations at renowned

scientific and industry conferences.

*  Support grant proposal preparation and actively participate in progress reporting to funding bodies.

*  Mentor and guide graduate students or junior researchers involved in related projects, fostering a collaborative research

environment.

Requirements:

*  PhD in Computer Science, Engineering, Health Informatics or a related field.

*  Strong expertise in AI, large language models, NLP, vision-language modeling or associated technologies,

with demonstrated application in healthcare or biomedical domains.

*  Proven ability to work both independently and as a team player within a multidisciplinary research environment.

*  Effective written and verbal communication skills, with a history of scientific publications and conference presentations.

*  Experience in vision-language models, multimodality learning, and foundation models is highly desirable.

 Ideal Candidate:

The ideal candidate will have a strong background in artificial intelligence, with experience working in healthcare or biomedical domains. They will be able to work independently and collaboratively, with effective written and verbal communication skills. Experience in vision-language models, multimodality learning, and foundation models.

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