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Ai Cancer Research Jobs (NOW HIRING)

University of Utah

Research Associate

Campus, IL · On-site

... AI companies (Silicon Slopes). The new HCI Vineyard Campus will implement HCI's extensive clinical trial portfolio and house national cancer research leaders. The Vineyard Campus is HCI's first ...

University of Utah

Research Associate

Campus, IL

... AI companies (Silicon Slopes). The new HCI Vineyard Campus will implement HCI's extensive clinical trial portfolio and house national cancer research leaders. The Vineyard Campus is HCI's first ...

University of Utah

Research Associate

Campus, IL

... AI companies (Silicon Slopes). The new HCI Vineyard Campus will implement HCI's extensive clinical trial portfolio and house national cancer research leaders. The Vineyard Campus is HCI's first ...

University of Utah

Research Associate

Salt Lake City, UT · On-site

$20K - $500K/yr

... AI companies (Silicon Slopes). The new HCI Vineyard Campus will implement HCI's extensive clinical trial portfolio and house national cancer research leaders. The Vineyard Campus is HCI's first ...

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Ai Cancer Research information

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$111.5K

$206K

How much do ai cancer research jobs pay per year?

As of Aug 15, 2026, the average yearly pay for ai cancer research in the United States is $200,510.00, according to ZipRecruiter salary data. Most workers in this role earn between $205,000.00 and $205,000.00 per year, depending on experience, location, and employer.

What is the difference between Ai Cancer Research vs Data Scientist in Healthcare?

AspectAi Cancer ResearchData Scientist in Healthcare
Required CredentialsMaster's or PhD in Oncology, Bioinformatics, or related fields; experience with AI and machine learningBachelor's or Master's in Data Science, Computer Science, or related; knowledge of healthcare data
Work EnvironmentResearch labs, hospitals, biotech companiesHospitals, healthcare tech firms, research institutions
Industry UsageFocused on applying AI to cancer diagnosis, treatment, and researchAnalyzing healthcare data for insights, predictive modeling, and decision support

Ai Cancer Research and Data Scientist in Healthcare share skills in data analysis and AI, but Ai Cancer Research specializes in oncology applications, while Data Scientists in Healthcare work across broader medical data domains.

What is AI cancer research?

AI cancer research refers to the use of artificial intelligence technologies, such as machine learning and deep learning algorithms, to improve the detection, diagnosis, treatment, and understanding of cancer. Researchers use AI to analyze large datasets, including medical images and genetic information, to identify patterns and make predictions that can assist doctors and scientists. AI can help in discovering new cancer therapies, personalizing treatment plans, and enhancing early detection, ultimately aiming to improve patient outcomes and advance cancer care.

What are the key skills and qualifications needed to thrive as an AI cancer researcher?

To thrive as an AI Cancer Researcher, you need a strong background in computational biology, machine learning, and oncology, typically supported by an advanced degree in computer science, bioinformatics, or a related field. Proficiency with programming languages (such as Python or R), machine learning frameworks (like TensorFlow or PyTorch), and experience with large-scale biomedical datasets is essential. Critical thinking, problem-solving, and interdisciplinary collaboration are crucial soft skills for driving innovative research and translating findings into clinical impact. These skills and qualifications enable researchers to develop effective AI models that advance cancer diagnosis, treatment, and patient outcomes.

What are the typical challenges faced when integrating AI models into cancer research teams?

Integrating AI models into cancer research often involves navigating challenges such as ensuring high-quality, well-annotated data and fostering effective collaboration between data scientists and clinical researchers. Teams must address the complexity of medical data, maintain patient privacy, and validate AI findings with rigorous scientific standards. Open communication between AI specialists and oncology experts is crucial to develop models that are both accurate and clinically relevant, making interdisciplinary teamwork an essential part of daily responsibilities.
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Ai Cancer Research jobs near you
Infographic showing various Ai Cancer Research job openings in the United States as of August 2026, with employment types broken down into 92% Full Time, 4% Temporary, and 4% Contract. Highlights an 82% In-person, and 18% Remote job distribution, with an average salary of $200,510 per year, or $96.4 per hour.

Urology, Computing Lead Opportunity(PhD) - Urology - AI + Cancer Research -academic appo

Cleveland Clinic Foundation

Cleveland, OH

Full-time

Medical, Vision

Posted 3 days ago

New

Cleveland Clinic rating

7.2

Company rating: 7.2 out of 10

Based on 910 frontline employees who took The Breakroom Quiz

349th of 887 rated healthcare providers

Job description

AI + Cancer Research | Computing Lead Opportunity 

Cleveland Clinic Department of Urology (Academic Appointment Available)

Join a cutting-edge, well published and established AI research team known for creating international AI challenges such as KITS and Knight.

This role is for people who want their work to change patient care, not just optimize products.

Were seeking a Computing lead for our AIM-HI lab (Artificial Intelligence in Medicine and Health Informatics) to lead translational AI projects in clinical urology and cancer researchowning the full lifecycle of real-world clinical AI systems: development, validation, deployment, and post-deployment monitoring.

This is not a proof-of-concept role. Your models will be used by clinicians, evaluated against clinical gold standards, published in top journals, and deployed where decisions truly matter.

What youll do

  • Lead end-to-end AI projects applied to real clinical problems
  • Build robust ML pipelines in Python
  • Collaborate directly with clinicians and researchers
  • Publish and present at major scientific conferences
  • Mentor students and medical trainees
  • Help define how AI is responsibly used in medicine

Who were looking for

  • PhD in CS, Biomedical Engineering, or related field
  • Strong Python + ML experience
  • Track record of peer-reviewed publications
  • Bonus: computer vision, LLMs, medical imaging, HPC/cloud, biostatistics

 Why this role

  • Your work reaches patients
  • Your contributions are visible, published, and durable
  • You help shape the future of AI in healthcare
  • Potential academic appointment (Assistant - Full Professor)
  • Salary negotiable according to experience

If you want your AI work to mean somethingto patients, to science, and to society-wed love to talk.

 The Urology department is one of the largest in the world and recognized for excellence in patient care, teaching, and research.

 

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