E-3 Visa Radiation Therapist Jobs
Radiation Therapist roles in the United States qualify as specialty occupations under the E-3 visa, which means Australian-trained radiation therapists can pursue sponsorship without competing in a lottery. Your three-year Australian bachelor's degree meets the degree equivalency standard, and the E-3 renews indefinitely as long as you hold a qualifying position.
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The Department of Radiation Physics at The University of Texas MD Anderson Cancer Center is seeking a highly motivated postdoctoral fellow to develop AI methods for personalized cervical cancer brachytherapy. The position will support two complementary, but independent research aims. This position will work in the lab of Dr. Shiqin Su. The first aim will focus on BrachyGo, a reinforcement learning-based treatment planning framework for cervical cancer brachytherapy. BrachyGo is designed to learn expert planning strategies and generate patient-specific treatment plans and will contribute to the broader Brachytherapy Planning Assistant (BPA), a web-based platform intended to streamline high-quality brachytherapy planning and expand access to advanced planning methods.
The second aim will focus on patient-specific recurrence-risk prediction, including development of spatially resolved three-dimensional recurrence-risk maps from multimodal clinical and imaging data. This work will use machine-learning and deep-learning approaches to characterize spatial patterns of treatment failure and support individualized treatment strategies. The fellow will develop and evaluate reinforcement learning, machine-learning, and deep-learning methods across both aims and will work closely with medical physicists, radiation oncologists, AI researchers, and collaborators in automated radiation treatment planning. The position provides opportunities for clinical shadowing, multidisciplinary research meetings, conference presentations, and peer-reviewed publications.
All duties and responsibilities are carried out in compliance with institutional policies, ethical research standards, and applicable federal and state regulations.
LEARNING OBJECTIVES
By the completion of the fellowship, the fellow is expected to:
- Develop advanced expertise in either reinforcement learning for automated treatment planning or multimodal deep learning for patient-specific recurrence-risk prediction, depending on the fellow's primary research focus.
- Develop expertise in formulating clinically relevant radiation oncology problems as machine-learning prediction or optimization tasks, including model development, validation, and interpretation using multimodal medical data.
- Gain experience developing and rigorously evaluating AI methods under real-world clinical constraints, including comparison with established clinical approaches and assessment of robustness and generalizability.
- Develop experience translating AI research into reproducible clinical research workflows, working with multidisciplinary collaborators, and leading dissemination through peer-reviewed publications and scientific presentations.
BASIC QUALIFICATIONS
Ph.D. or equivalent doctoral degree in medical physics, physics, biomedical engineering, computer science, electrical engineering, or a related quantitative field, awarded within the past three years.
PREFERRED QUALIFICATIONS
Experience in one or more of the following areas is strongly preferred: machine learning, deep learning, reinforcement learning, or medical image analysis.
Experience in medical physics, radiation therapy treatment planning, optimization, medical imaging, or DICOM is advantageous but not required.
ADDITIONAL APPLICATION INFORMATION
Applicants should submit:
- Curriculum vitae
- Brief statement describing research interests and relevant experience
- Contact information for references
POSITION INFORMATION
MD Anderson offers full-time postdoc positions with a salary ranging from $64,000 to $76,000, depending on the number of years of postgraduate experience. The University of Texas MD Anderson Cancer Center offers excellent benefits, including medical, dental, paid time off, retirement, tuition benefits, educational opportunities, and individual and team recognition.
Offsite work arrangements are subject to approval and may be modified or revoked at any time based on business needs, performance considerations, or regulatory requirements.
This position may be responsible for maintaining the security and integrity of critical infrastructure, as defined in Section 113.001(2) of the Texas Business and Commerce Code and therefore may require routine reviews and screening. The ability to satisfy and maintain all requirements necessary to ensure the continued security and integrity of such infrastructure is a condition of hire and continued employment.
It is the policy of The University of Texas MD Anderson Cancer Center to provide equal employment opportunity without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, disability, protected veteran status, genetic information, or any other basis protected by institutional policy or by federal, state or local laws unless such distinction is required by law.
INTRODUCTION
The Department of Radiation Physics at The University of Texas MD Anderson Cancer Center is seeking a highly motivated postdoctoral fellow to develop AI methods for personalized cervical cancer brachytherapy. The position will support two complementary, but independent research aims. This position will work in the lab of Dr. Shiqin Su. The first aim will focus on BrachyGo, a reinforcement learning-based treatment planning framework for cervical cancer brachytherapy. BrachyGo is designed to learn expert planning strategies and generate patient-specific treatment plans and will contribute to the broader Brachytherapy Planning Assistant (BPA), a web-based platform intended to streamline high-quality brachytherapy planning and expand access to advanced planning methods.
The second aim will focus on patient-specific recurrence-risk prediction, including development of spatially resolved three-dimensional recurrence-risk maps from multimodal clinical and imaging data. This work will use machine-learning and deep-learning approaches to characterize spatial patterns of treatment failure and support individualized treatment strategies. The fellow will develop and evaluate reinforcement learning, machine-learning, and deep-learning methods across both aims and will work closely with medical physicists, radiation oncologists, AI researchers, and collaborators in automated radiation treatment planning. The position provides opportunities for clinical shadowing, multidisciplinary research meetings, conference presentations, and peer-reviewed publications.
All duties and responsibilities are carried out in compliance with institutional policies, ethical research standards, and applicable federal and state regulations.
LEARNING OBJECTIVES
By the completion of the fellowship, the fellow is expected to:
- Develop advanced expertise in either reinforcement learning for automated treatment planning or multimodal deep learning for patient-specific recurrence-risk prediction, depending on the fellow's primary research focus.
- Develop expertise in formulating clinically relevant radiation oncology problems as machine-learning prediction or optimization tasks, including model development, validation, and interpretation using multimodal medical data.
- Gain experience developing and rigorously evaluating AI methods under real-world clinical constraints, including comparison with established clinical approaches and assessment of robustness and generalizability.
- Develop experience translating AI research into reproducible clinical research workflows, working with multidisciplinary collaborators, and leading dissemination through peer-reviewed publications and scientific presentations.
BASIC QUALIFICATIONS
Ph.D. or equivalent doctoral degree in medical physics, physics, biomedical engineering, computer science, electrical engineering, or a related quantitative field, awarded within the past three years.
PREFERRED QUALIFICATIONS
Experience in one or more of the following areas is strongly preferred: machine learning, deep learning, reinforcement learning, or medical image analysis.
Experience in medical physics, radiation therapy treatment planning, optimization, medical imaging, or DICOM is advantageous but not required.
ADDITIONAL APPLICATION INFORMATION
Applicants should submit:
- Curriculum vitae
- Brief statement describing research interests and relevant experience
- Contact information for references
POSITION INFORMATION
MD Anderson offers full-time postdoc positions with a salary ranging from $64,000 to $76,000, depending on the number of years of postgraduate experience. The University of Texas MD Anderson Cancer Center offers excellent benefits, including medical, dental, paid time off, retirement, tuition benefits, educational opportunities, and individual and team recognition.
Offsite work arrangements are subject to approval and may be modified or revoked at any time based on business needs, performance considerations, or regulatory requirements.
This position may be responsible for maintaining the security and integrity of critical infrastructure, as defined in Section 113.001(2) of the Texas Business and Commerce Code and therefore may require routine reviews and screening. The ability to satisfy and maintain all requirements necessary to ensure the continued security and integrity of such infrastructure is a condition of hire and continued employment.
It is the policy of The University of Texas MD Anderson Cancer Center to provide equal employment opportunity without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, disability, protected veteran status, genetic information, or any other basis protected by institutional policy or by federal, state or local laws unless such distinction is required by law.
See all 38+ E-3 Visa Radiation Therapist Jobs
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Get Access To All JobsTips for Finding E-3 Visa Sponsorship in Radiation Therapist
Verify your ARRT eligibility before applying
Most U.S. radiation oncology departments require ARRT certification or eligibility before they'll extend an offer. Confirm your Australian qualifications map to ARRT's foreign-educated pathway so employers don't stall on credential review mid-hiring process.
Target hospital systems with active E-3 hiring
Academic medical centers and large health systems in states like California, Texas, and New York have HR teams familiar with E-3 visa sponsorship. Filter your search on Migrate Mate to find Radiation Therapist roles at employers with confirmed E-3 visa filing history.
Request LCA filing before your start date
Your employer must file and receive DOL certification of the Labor Condition Application before you can attend your consulate appointment. Ask the hiring manager to initiate LCA filing as soon as your offer letter is signed, not after onboarding paperwork begins.
Clarify your state radiation therapy license timeline
Every U.S. state licenses radiation therapists separately, and some require ARRT certification before issuing a license. Confirm with your prospective employer which state license they need and whether they'll allow conditional employment while your application processes.
Use Migrate Mate's E-3 filing service for end-to-end support
Migrate Mate's E-3 filing service manages your LCA submission, visa paperwork, and consulate preparation so nothing stalls between offer and start date. This matters most when your employer's HR team has never sponsored an E-3 before.
Address specialty occupation clearly in your offer letter
Consular officers must confirm your Radiation Therapist role meets the specialty occupation definition. Ask your employer to specify the degree requirement for the position in the offer letter, referencing the clinical and technical responsibilities that necessitate a bachelor's degree in radiation therapy or a related field.
E-3 Visa Radiation Therapist: Frequently Asked Questions
How do I find Radiation Therapist jobs with E-3 visa sponsorship?
Migrate Mate is built specifically for Australian professionals searching for U.S. roles with E-3 sponsorship. You can filter Radiation Therapist positions by employers who have previously sponsored E-3 visas, which removes the guesswork of cold-contacting HR teams unfamiliar with the visa. Standard job boards don't filter by visa type or sponsorship history.
How much does it cost to get an E-3 visa?
Migrate Mate's E-3 filing service covers the entire process for $499, including the Labor Condition Application, visa document preparation, and consulate appointment guidance. Traditional immigration lawyers charge $2,000–$5,000+ for the same work. The E-3 has less paperwork than most work visas, so paying thousands for legal help is usually unnecessary.
Does a Radiation Therapist role qualify as a specialty occupation for the E-3?
Yes. Radiation therapy requires a bachelor's degree in radiation therapy or a closely related field, which satisfies the specialty occupation standard. USCIS and consular officers look for roles where the degree is a minimum requirement, not merely preferred. Your job offer and any supporting documentation should clearly state the degree requirement for the specific position.
How does the E-3 compare to the H-1B for Radiation Therapist roles?
The E-3 is available only to Australian nationals, but it has a significant structural advantage: there's no lottery. The H-1B visa is subject to an annual cap and a random selection process, meaning qualified applicants can be excluded through no fault of their own. The E-3 has a 10,500 annual allocation that has never been exhausted, so a qualifying offer effectively guarantees access to the visa.
Can I switch radiation therapy employers while on an E-3?
You can change employers, but your new employer must file a fresh LCA with the DOL and you'll need to either obtain a new E-3 visa stamp at a consulate or, if you're already in the United States, request a change of status. You can begin working for the new employer once the new LCA is certified and a new visa petition or status change is approved.