J-1 Visa AI Strategy Lead Jobs
AI Strategy Lead roles in the U.S. typically fall under the J-1 visa Specialist or Trainee program category, depending on your career stage and the scope of your placement. A U.S. Department of State-designated sponsor organization issues your DS-2019 and provides the sponsorship your host employer cannot supply directly.
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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 AI Strategy Lead Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new J-1 Visa AI Strategy Lead Jobs.
Get Access To All JobsTips for Finding J-1 Visa Sponsorship in AI Strategy Lead
Frame your AI credentials for DS-2019 eligibility
Designated sponsors evaluate your qualifications against the J-1 Specialist or Trainee category criteria before issuing a DS-2019. Document your AI strategy experience, advanced degree field, and any published work or advisory roles in a single credentials brief.
Target host employers with existing sponsor relationships
Some U.S. companies have established agreements with designated J-1 sponsors like Cultural Vistas or IIE, which shortens the DS-2019 timeline. Prioritize outreach to organizations that have hosted J-1 Specialists before, since they already understand the training plan requirements.
Use Migrate Mate to find J-1-aligned AI roles
Searching for AI Strategy Lead openings that align with J-1 sponsorship pathways is faster when your filter set matches program category, not just job title. Migrate Mate lets you surface U.S. employers receptive to J-1 arrangements without guessing from generic job boards.
Build a training plan around AI deliverables
The J-1 Trainee and Specialist categories require a structured Training or Internship Placement Plan. Map your AI strategy activities, such as model governance frameworks or go-to-market pilots, to specific learning objectives and timelines so the designated sponsor can approve the plan without revisions.
Clarify the two-year home residency rule early
J-1 Specialist and Trainee participants whose funding comes from a government or international organization may be subject to a two-year home residency requirement before switching to H-1B visa or green card status. Confirm whether this applies to your situation before accepting a host employer's offer.
Negotiate DS-2019 timing into your offer timeline
The designated sponsor, not your host employer, controls DS-2019 issuance, and processing can add several weeks after an offer is signed. Build that window into your start-date negotiation so the program category approval and training plan review don't conflict with your agreed onboarding date.
AI Strategy Lead J-1 Visa: Frequently Asked Questions
Which J-1 program category fits an AI Strategy Lead role?
The Specialist category fits most mid-to-senior AI Strategy Lead placements, covering professionals with expertise not widely available in the U.S. market. If you are early-career or completing a structured learning objective, the Trainee category may apply instead. The Short-Term Scholar category can work for project-based advisory engagements under six months. Your designated sponsor confirms which category matches your qualifications and the host employer's program structure.
Who actually sponsors a J-1 visa for an AI Strategy Lead position?
Your J-1 visa sponsor is a U.S. Department of State-designated organization, such as Cultural Vistas, IIE, or CIEE, not your hiring employer. The hiring company acts as the host organization. The designated sponsor issues your DS-2019 form, monitors program compliance, and signs your training plan. The host employer funds the role but cannot independently sponsor J-1 status the way an employer sponsors an H-1B petition.
Does the two-year home residency requirement affect AI Strategy Lead J-1 holders?
It can. J-1 participants whose exchange program is funded by a government source or designated as skills-shortage-related may be subject to the two-year home residency requirement under INA Section 212(e). For AI Strategy Lead roles, the trigger most often arises when the host employer is a government-affiliated entity or the program receives government funding. USCIS and the State Department both assess this, and it directly affects any future H-1B or immigrant visa applications.
How do I find U.S. host employers open to J-1 Specialist or Trainee arrangements?
Most U.S. employers are unfamiliar with J-1 Specialist or Trainee mechanics, so cold outreach rarely works without a clear explanation of how the program functions. Migrate Mate lets you identify AI Strategy Lead roles at employers already receptive to J-1 arrangements, which reduces the time spent educating hiring managers about the DS-2019 process before you even reach the interview stage.
What does the training plan require for an AI Strategy Lead placement?
Your designated sponsor requires a detailed Training or Internship Placement Plan outlining specific objectives, the supervisory structure, and a week-by-week or phase-based schedule of activities. For an AI Strategy Lead, this typically includes deliverables like AI roadmap development, cross-functional stakeholder workshops, or model governance design. Vague descriptions of 'AI consulting' are not sufficient. The plan must demonstrate that the experience is structured learning, not standard employment performing an ongoing operational function.