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Ai Cancer Research Jobs in Raleigh, NC (NOW HIRING)

Duke University

POSTDOCTORAL ASSOCIATE

Durham, NC · On-site

... Cancer Research, etc. with publications in top-tier journals including Cell, Blood, Cancer ... AI Award, CPAL Rising Star, AdvML Rising Star, OpenAI Researcher Access Award, Gemma Academic ...

UNC-Chapel Hill

Open Rank

Chapel Hill, NC

Areas of interest include but are not limited to: animal and non-animal models for cancer research ... and data science/AI. Applicants should have a strong record of recent accomplishments as a ...

Varsity Tutors

Cell Biology Tutor

Chapel Hill, NC · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Emphasizes molecular-level reasoning and connects cell biology to cancer research, regenerative ...

Varsity Tutors

Cell Biology Tutor

Durham, NC · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Emphasizes molecular-level reasoning and connects cell biology to cancer research, regenerative ...

Varsity Tutors

Cell Biology Tutor

Raleigh, NC · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Emphasizes molecular-level reasoning and connects cell biology to cancer research, regenerative ...

Duke University

Postdoctoral Associate

Durham, NC

Composed of more than 2,500 faculty physicians and researchers, more than 1,300 students, and more ... Lead and co-lead projects in AI for genomics (e.g., generative models, transformers, agentic ...

Duke University

Postdoctoral Associate

Durham, NC · On-site

Composed of more than 2,500 faculty physicians and researchers, more than 1,300 students, and more ... Lead and co-lead projects in AI for genomics (e.g., generative models, transformers, agentic ...

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All JobsAi Cancer Research JobsAi Cancer Research Jobs in Raleigh, NC

Ai Cancer Research information

See Raleigh, NC salary details

$108.4K

$200.2K

How much do ai cancer research jobs pay per year?

As of Aug 7, 2026, the average yearly pay for ai cancer research in Raleigh, NC is $194,912.00, according to ZipRecruiter salary data. Most workers in this role earn between $199,300.00 and $199,300.00 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

Research Scientist Intern (2025)

Whiterabbit.ai

Raleigh, NC • On-site

Other

Re-posted 16 days ago

Job description

We are looking for a Research Scientist Intern to push the state of the art of our AI models. As a Research Scientist Intern at Whiterabbit.ai, you will:

  • Play a key role in architecting the algorithms and models that will power our products
  • Train on a dedicated high-performance compute cluster specialized for deep learning research
  • Work with doctors and healthcare professionals to identify serious problems and leverage their domain expertise to build robust solutions
  • Remain an active contributor to the research community by partnering with universities and publishing high impact papers

Who we are:

Our mission at Whiterabbit.ai is to save lives and eliminate suffering through the early detection of cancer with artificial intelligence. We collaborate closely with one of the top medical schools in the country and have exclusive access to one of the world’s largest cancer datasets with millions of images. We invent algorithms that make doctors more productive, more accurate, and more capable. We build products and services with a relentless focus on transforming the patient’s healthcare experience.

Responsibilities

  • Develop highly scalable classifiers and detectors that solve real-world problems
  • Learn and understand a large body of research in deep learning and machine learning
  • Participate in cutting-edge research for medical applications of computer vision

Must Have Experience

  • Experience with deep learning and convolutional networks
  • Strong theoretical and empirical research background
  • Fluency with a deep learning framework and Python

Nice to Have Experience

  • Contributions to research communities and efforts, such as publications at conferences like CVPR, NeurIPS, ICCV, ECCV, ICML, and ICLR
  • Large scale machine learning experience working with terabytes of data
  • Implemented custom operations/modules in a deep learning framework
  • Imagination, ambition, and curiosity

Apply