J-1 Visa Artificial Intelligence Scientist Jobs
Artificial Intelligence Scientist roles in the U.S. typically qualify for J-1 visa sponsorship under the Research Scholar or Specialist category, issued by a State Department-designated sponsor organization. Host employers range from university AI labs to federal research institutes. Exchange visitors in this field have no cap or lottery to navigate, but the two-year home residency requirement applies to many participants.
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The Food is Medicine Institute at the Friedman School of Nutrition Science and Policy at Tufts University (the Institute) seeks an outstanding postdoctoral fellow to work on an original nutrient profiling system, Food Compass, under the mentorship and guidance of Institute Director Dr. Dariush Mozaffarian.
Bringing together research, training, patient services, policy development, and community engagement, the Institute aims to serve as a catalyst to drive change, improve health, reduce health disparities, and create a more equitable and resilient healthcare system that recognizes the power of nourishing food. Its efforts are centered in health equity to work collaboratively with and improve the lives of traditionally marginalized, vulnerable populations. The Institute also hosts and builds networks with partnerships with stakeholders within and beyond healthcare to ensure that efforts advance well-being and policy broadly and reach the people who need them most.
WHAT YOU'LL DO:
This is a full-time (12 months per year) position with an anticipated duration of 2-3 years, subject to annual review and renewal based on performance and available funding. The position is based in Boston, MA, and requires regular in-person work. Flexible and hybrid arrangements (e.g., 1–2 days per week remote) may be considered; fully remote work is not available. Applicants must be authorized to work in the United States. The start date is negotiable. This position offers a competitive salary, excellent benefits, and opportunities for professional development, travel, and collaboration with leading researchers and partners.
The successful candidate will meaningfully contribute to advancing the development, expansion, and application of Food Compass across various partnerships. This may include research and activities related to:
- Updating and expanding the Food Compass algorithm according to the latest science, including expansion to include novel health-related bioactive attributes;
- Supporting ongoing work and manuscripts, including related data manipulation and harmonization of large U.S. branded food databases, including application of AI tools for nutrient attribute coding, ingredient extraction, and large-scale dataset harmonization;
- Leading analyses describing dietary intake in the United States and internationally using Food Compass and existing dietary data from major data sources, including the National Health and Nutrition Examination Survey (NHANES), the USDA Branded Foods Database, UK Biobank, and others;
- Collaborating with food retailers, healthcare systems, international health-focused government agencies, nutrition-focused venture capital firms and coalitions, and other organizations to advance the role of NPS in consumer education and the creation of a healthier and more equitable food environment;
- Disseminating research findings to relevant stakeholders, including the scientific community, food system leaders, legislative bodies, and advocacy groups and agencies.
The fellow will work within a close-knit, collegial multi-disciplinary team of other trainees, students, and staff within the Institute. In addition to mentoring from Dr. Dariush Mozaffarian, the fellow will interact with and gain knowledge and experience from a range of other expert faculty across the Institute and beyond. The fellow will also benefit from meetings, seminars, and coalitions of multi-sector leaders in Food is Medicine including healthcare, community-based, retail, policy, and advocacy organizations. The training program will emphasize the design and publication of original analyses and manuscripts as first author, career development, and transition toward an independent research career.
BASIC QUALIFICATIONS:
Candidates must possess a relevant medical or doctoral degree (MD, PhD, DrPH, ScD) in quantitative sciences (biostatistics, artificial intelligence, epidemiology, etc.), health sciences (e.g., medicine, nutrition, public health, etc.), or related professions (e.g., economics, public policy, business, law, etc.). Strong quantitative and data skills are a must. Ideal candidates will have demonstrated experience applying AI and machine learning tools to manage, clean, and code complex nutrient content and food product datasets. Experience with data visualizations, front of pack labeling, and nutrition policy would also be an asset.
Individuals who work well across disciplines, are collegial and collaborative, and have interest in the intersections of nutrition, information systems, health, medicine, and equity will particularly thrive in this role. Candidates must have a track record of successful interdisciplinary research as evidenced by multiple original, peer-reviewed research publications in a relevant field. We seek candidates whose work is relevant to diverse stakeholders in public and health sectors.
WHAT WE'RE LOOKING FOR:
Required education, experience and skills
Applicants must have an MD or doctoral degree (PhD, DrPH, ScD); additional training in biostatistics, coding, AI, epidemiology, nutrition, public health, economics, or related fields; and a record of original, first-author research publications in relevant areas. Candidates must have excellent quantitative/analytical research skills, strong written and oral communication skills, experience using analytic programs for data management and analysis (e.g., STATA, SPSS, SAS, R), and familiarity with AI tools for data processing, nutrient coding, and analysis of large food and dietary datasets, and the ability to work well independently and as part of a team with collaborators.
APPLICATION INSTRUCTIONS
A complete application will include; cover letter, CV, and names of three references (if available, reference letters welcomed). Applications should be submitted via Interfolio. Questions can be directed to Julia Sharib (julia.reedy@tufts.edu). Applications will be considered as they are received.
SALARY RANGE:
Minimum $67,500.00, Midpoint $72,875.00, Maximum $78,250.00
Overview:
The Food is Medicine Institute at the Friedman School of Nutrition Science and Policy at Tufts University (the Institute) seeks an outstanding postdoctoral fellow to work on an original nutrient profiling system, Food Compass, under the mentorship and guidance of Institute Director Dr. Dariush Mozaffarian.
Bringing together research, training, patient services, policy development, and community engagement, the Institute aims to serve as a catalyst to drive change, improve health, reduce health disparities, and create a more equitable and resilient healthcare system that recognizes the power of nourishing food. Its efforts are centered in health equity to work collaboratively with and improve the lives of traditionally marginalized, vulnerable populations. The Institute also hosts and builds networks with partnerships with stakeholders within and beyond healthcare to ensure that efforts advance well-being and policy broadly and reach the people who need them most.
WHAT YOU'LL DO:
This is a full-time (12 months per year) position with an anticipated duration of 2-3 years, subject to annual review and renewal based on performance and available funding. The position is based in Boston, MA, and requires regular in-person work. Flexible and hybrid arrangements (e.g., 1–2 days per week remote) may be considered; fully remote work is not available. Applicants must be authorized to work in the United States. The start date is negotiable. This position offers a competitive salary, excellent benefits, and opportunities for professional development, travel, and collaboration with leading researchers and partners.
The successful candidate will meaningfully contribute to advancing the development, expansion, and application of Food Compass across various partnerships. This may include research and activities related to:
- Updating and expanding the Food Compass algorithm according to the latest science, including expansion to include novel health-related bioactive attributes;
- Supporting ongoing work and manuscripts, including related data manipulation and harmonization of large U.S. branded food databases, including application of AI tools for nutrient attribute coding, ingredient extraction, and large-scale dataset harmonization;
- Leading analyses describing dietary intake in the United States and internationally using Food Compass and existing dietary data from major data sources, including the National Health and Nutrition Examination Survey (NHANES), the USDA Branded Foods Database, UK Biobank, and others;
- Collaborating with food retailers, healthcare systems, international health-focused government agencies, nutrition-focused venture capital firms and coalitions, and other organizations to advance the role of NPS in consumer education and the creation of a healthier and more equitable food environment;
- Disseminating research findings to relevant stakeholders, including the scientific community, food system leaders, legislative bodies, and advocacy groups and agencies.
The fellow will work within a close-knit, collegial multi-disciplinary team of other trainees, students, and staff within the Institute. In addition to mentoring from Dr. Dariush Mozaffarian, the fellow will interact with and gain knowledge and experience from a range of other expert faculty across the Institute and beyond. The fellow will also benefit from meetings, seminars, and coalitions of multi-sector leaders in Food is Medicine including healthcare, community-based, retail, policy, and advocacy organizations. The training program will emphasize the design and publication of original analyses and manuscripts as first author, career development, and transition toward an independent research career.
BASIC QUALIFICATIONS:
Candidates must possess a relevant medical or doctoral degree (MD, PhD, DrPH, ScD) in quantitative sciences (biostatistics, artificial intelligence, epidemiology, etc.), health sciences (e.g., medicine, nutrition, public health, etc.), or related professions (e.g., economics, public policy, business, law, etc.). Strong quantitative and data skills are a must. Ideal candidates will have demonstrated experience applying AI and machine learning tools to manage, clean, and code complex nutrient content and food product datasets. Experience with data visualizations, front of pack labeling, and nutrition policy would also be an asset.
Individuals who work well across disciplines, are collegial and collaborative, and have interest in the intersections of nutrition, information systems, health, medicine, and equity will particularly thrive in this role. Candidates must have a track record of successful interdisciplinary research as evidenced by multiple original, peer-reviewed research publications in a relevant field. We seek candidates whose work is relevant to diverse stakeholders in public and health sectors.
WHAT WE'RE LOOKING FOR:
Required education, experience and skills
Applicants must have an MD or doctoral degree (PhD, DrPH, ScD); additional training in biostatistics, coding, AI, epidemiology, nutrition, public health, economics, or related fields; and a record of original, first-author research publications in relevant areas. Candidates must have excellent quantitative/analytical research skills, strong written and oral communication skills, experience using analytic programs for data management and analysis (e.g., STATA, SPSS, SAS, R), and familiarity with AI tools for data processing, nutrient coding, and analysis of large food and dietary datasets, and the ability to work well independently and as part of a team with collaborators.
APPLICATION INSTRUCTIONS
A complete application will include; cover letter, CV, and names of three references (if available, reference letters welcomed). Applications should be submitted via Interfolio. Questions can be directed to Julia Sharib (julia.reedy@tufts.edu). Applications will be considered as they are received.
SALARY RANGE:
Minimum $67,500.00, Midpoint $72,875.00, Maximum $78,250.00
See all J-1 Visa Artificial Intelligence Scientist Jobs
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Get Access To All JobsTips for Finding J-1 Visa Sponsorship as an Artificial Intelligence Scientist
Confirm your J-1 category before applying
Research Scholar fits those with a graduate degree pursuing independent research. Specialist applies to experts in a field requiring advanced knowledge. Applying under the wrong category can delay or void your DS-2019, so verify which fits your credentials before contacting host institutions.
Build a research profile that satisfies sponsors
State Department-designated sponsors like IIE or Cultural Vistas evaluate your publication record, institutional affiliations, and research plan before issuing a DS-2019. Peer-reviewed AI publications and a clear, project-specific training plan strengthen your case significantly.
Target host employers with existing J-1 infrastructure
Universities, national laboratories, and federally funded AI research centers already have relationships with designated sponsors and understand DS-2019 timelines. Use Migrate Mate to filter for these types of employers when searching for Artificial Intelligence Scientist roles with J-1 compatibility.
Address the two-year home residency requirement early
Many AI Scientist participants on J-1 visas are subject to the two-year home-country physical presence requirement, especially if funded by a government or international organization. A waiver through the No Objection Statement route or a hardship waiver takes months to process, so raise this with your sponsor before accepting an offer.
Align your DS-2019 training plan to specific AI deliverables
Sponsors require a structured training plan signed by your host employer. For AI research roles, list specific methodologies, datasets, model types, and lab collaborations you'll work on. Vague plans citing only broad areas like 'machine learning research' are frequently sent back for revision.
Track your J-1 status end date through SEVIS
Your authorized stay is tied to the program end date on your DS-2019, not a fixed visa validity period. SEVIS records control your legal status, and your designated sponsor must authorize any program extension before that date passes. A 30-day grace period follows program completion.
Artificial Intelligence Scientist J-1 Visa: Frequently Asked Questions
Which J-1 program category applies to Artificial Intelligence Scientist roles?
Research Scholar is the most common category for AI Scientists conducting independent research at a U.S. university or research institute. Specialist applies if you're an established expert in a narrowly defined AI subfield. Intern or Trainee categories fit students or early-career professionals, but those require enrollment or recent graduation and are subject to shorter program durations.
Who actually sponsors a J-1 visa for an AI Scientist position?
The visa sponsor is a U.S. Department of State-designated organization, such as IIE or Cultural Vistas, not your host employer. The host institution, whether a university AI lab or a national research center, serves as the placement site. The designated sponsor issues your DS-2019, monitors your compliance with exchange visitor regulations, and is your primary point of contact for status questions.
How do I find AI Scientist positions where the host employer already understands J-1 sponsorship?
Many employers outside of academia are unfamiliar with the J-1 host organization model and mistake it for direct employer sponsorship. Migrate Mate helps you identify U.S. employers and research institutions that have posted roles compatible with J-1 exchange visitor placements, narrowing your search to organizations already equipped to work with designated sponsors.
Does the two-year home residency requirement apply to AI Scientists on J-1 visas?
It often does. If your J-1 exchange is funded, even partially, by your home government or a bilateral program, or if your field appears on the State Department's Skills List for your country, the two-year requirement applies. You'd need to fulfill it or obtain a waiver before changing to H-1B visa or permanent residence status. Check your DS-2019 for the INA 212(e) notation.
Can an AI Scientist on a J-1 visa work for a private tech company as the host employer?
Yes, private companies can serve as J-1 host employers for Research Scholar or Specialist participants, provided a designated sponsor agrees to administer the program. In practice, designated sponsors scrutinize private industry placements more closely than academic or nonprofit ones, and the host must demonstrate a genuine research or knowledge-exchange purpose that aligns with J-1 program objectives.