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Trainee Ai Researcher Jobs (NOW HIRING)

They will be part of the thriving research community of Duke Spark (spark.duke.edu) where AI ... Dr. Mazurowski's laboratory has a strong track record of publications by the trainees and the ...

They will be part of the thriving research community of Duke Spark (spark.duke.edu) where AI ... Dr. Mazurowski's laboratory has a strong track record of publications by the trainees and the ...

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Trainee Ai Researcher information

See salary details

$30K

$113.1K

$164.5K

How much do trainee ai researcher jobs pay per year?

As of Aug 19, 2026, the average yearly pay for trainee ai researcher in the United States is $113,102.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,000.00 and $154,000.00 per year, depending on experience, location, and employer.

What does a trainee AI researcher do?

A Trainee AI Researcher assists in developing and testing artificial intelligence models and algorithms under the supervision of experienced researchers. Their responsibilities typically include reading relevant scientific literature, conducting experiments, analyzing data, and helping to write research papers or reports. This role is often entry-level and is designed to build foundational skills in machine learning, data analysis, and programming. Trainee AI Researchers may also collaborate with team members on projects, attend seminars, and stay updated on the latest advancements in AI.

What types of projects can a trainee AI researcher expect to work on during their first year?

As a Trainee AI Researcher, you can expect to contribute to a variety of projects, often starting with literature reviews, data collection, and running experiments under the supervision of senior researchers. You may assist in developing and testing machine learning models, analyzing results, and refining algorithms. Collaboration is key, so you'll regularly work with other researchers, data scientists, and engineers, gaining exposure to different facets of AI research. Over time, you'll gradually take on more responsibility and may even co-author papers or present findings at team meetings.

What are the key skills and qualifications needed to thrive as a trainee AI researcher, and why are they important?

To thrive as a Trainee AI Researcher, you need a solid background in mathematics, programming (often Python), and foundational knowledge in machine learning, typically supported by a relevant degree. Familiarity with tools and libraries such as TensorFlow, PyTorch, and data analysis platforms is commonly required. Strong analytical thinking, problem-solving abilities, and effective communication help you excel in collaborative research environments. These skills enable you to contribute meaningfully to innovative AI projects and adapt to the rapidly evolving field.

What is the difference between Trainee Ai Researcher vs Data Scientist?

AspectTrainee Ai ResearcherData Scientist
Required CredentialsTypically pursuing or holding a degree in AI, Computer Science, or related fieldsOften holds a degree in Data Science, Statistics, or related disciplines
Work EnvironmentInternship or entry-level position in research labs or tech companiesFull-time role in data analysis, modeling, and business insights
Employer & Industry UsageResearch institutions, AI startups, tech companies focusing on AI developmentTech firms, finance, healthcare, and other industries leveraging data analytics

While both roles involve working with data and algorithms, a Trainee Ai Researcher primarily focuses on developing and testing AI models in a research setting, often as an entry-level or internship position. In contrast, a Data Scientist applies data analysis and modeling skills to solve business problems across various industries. The roles differ mainly in their focus—research versus application—and their typical work environments.

What cities are hiring for Trainee Ai Researcher jobs?

Cities with the most Trainee Ai Researcher job openings:

What are the most commonly searched types of Ai Researcher jobs?

The most popular types of Ai Researcher jobs are:

What states have the most Trainee Ai Researcher jobs?

States with the most job openings for Trainee Ai Researcher jobs include:

Faculty Position in Radiology and AI Innovation Research

Nature Careers

Scottsdale, AZ • On-site

Other

Medical, Dental, Vision, Retirement

Posted 15 days ago


Job description

Why Mayo Clinic
Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and comprehensive benefit plans - to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic.
Benefits Highlights
* Medical: Multiple plan options.
* Dental: Delta Dental or reimbursement account for flexible coverage.
* Vision: Affordable plan with national network.
* Pre-Tax Savings: HSA and FSAs for eligible expenses.
* Retirement: Competitive retirement package to secure your future.
Position Overview
The Department of Radiology and the Arizona Advanced AI & Innovation (A3I) Hub at Mayo Clinic Arizona seek an exceptional early-career scientist for an Associate Career Scientist faculty position. This is a research-intensive appointment designed for individuals with outstanding potential to develop an independent, externally funded research program at the intersection of artificial intelligence, medical imaging, multimodal data science, and clinical translation.
The successful candidate will hold a joint appointment with approximately 50% effort in the Department of Radiology and 50% effort in the A3I Hub. The position offers access to Mayo Clinic's extensive clinical, imaging, genomic, and multimodal datasets, as well as a collaborative environment that integrates physicians, data scientists, engineers, and translational researchers.
Research Focus Areas
Applicants with expertise in one or more of the following areas are encouraged to apply:
* Medical imaging AI and computer vision
* Multimodal foundation models and large language models
* Generative AI and agentic AI systems for healthcare
* Clinical decision support and predictive analytics
* Radiology AI and imaging informatics
* Multimodal data integration (imaging, EHR, pathology, genomics, biosignals)
* Trustworthy, fair, and explainable AI
* Digital twins and precision medicine
* AI-enabled clinical workflow optimization
Qualifications
Required Qualifications
* PhD, MD/PhD, or equivalent doctoral degree in Computer Science, Artificial Intelligence, Biomedical Informatics, Electrical Engineering, Data Science, Computational Biology, Medical Physics, or a related discipline.
* Minimum of three years of postdoctoral research experience or equivalent research training.
* Demonstrated record of scholarly achievement and scientific innovation.
* Strong publication record in leading journals and conferences relevant to AI, machine learning, biomedical informatics, or medical imaging.
* Evidence of the ability to establish an independent research program and compete successfully for extramural funding.
Preferred Qualifications
* Experience developing and validating AI models using large-scale healthcare data.
* Experience with foundation models, multimodal learning, reinforcement learning, or agentic AI frameworks.
* Track record of interdisciplinary collaboration with clinicians and healthcare researchers.
* Prior success in grant writing, fellowship awards, career development awards, or other competitive funding mechanisms.
Responsibilities
The successful candidate will:
* Develop and lead an innovative independent research program aligned with Mayo Clinic's strategic priorities in AI and healthcare.
* Conduct cutting-edge research in artificial intelligence, machine learning, and multimodal biomedical data science.
* Collaborate with investigators across Radiology, Artificial Intelligence and Informatics, Oncology, Cardiology, Neurology, and other clinical departments.
* Publish impactful scientific findings in high-quality peer-reviewed journals and premier conferences.
* Pursue extramural funding from NIH, NSF, ARPA-H, DOD, foundations, and industry partnerships.
* Mentor trainees, including postdoctoral fellows, graduate students, residents, and medical students.
* Contribute to the development of next-generation AI platforms and translational solutions that improve patient care.
Appointment Expectations
Consistent with Mayo Clinic criteria for Associate Career Scientist:
* Research effort of 80% or greater.
* Demonstrated trajectory toward research independence.
* Minimum publication expectations:
* At least three peer-reviewed publications, including one first- or senior-author publication.
* Expected progression toward securing independent extramural funding within the initial appointment period.
* Eligibility for appointment at the Assistant Professor rank.
Environment and Resources
The candidate will benefit from:
* Access to Mayo Clinic's enterprise-wide multimodal data ecosystem, including imaging, clinical, pathology, genomic, and wearable data resources.
* State-of-the-art AI computing infrastructure with large-scale GPU clusters.
* Opportunities to collaborate with investigators across Mayo Clinic Arizona, Rochester, and Florida campuses.
* Integration with the Arizona Advanced AI & Innovation Hub, a rapidly growing center focused on developing and translating trustworthy AI technologies for healthcare.
* Strong institutional support for career development, mentorship, and extramural funding success.
Application Materials
Applicants should submit:
* Curriculum vitae
* Research statement (2-3 pages)
* Future funding strategy
* Three representative publications
* Names and contact information for three references
Mayo Clinic is committed to fostering an environment of scientific excellence, innovation, and collaboration. We seek candidates who are passionate about advancing AI-driven healthcare and translating scientific discoveries into clinical impact.