Healthcare J-1 Sponsorship Jobs in Virginia
Virginia's healthcare sector spans major hospital systems like Inova Health, VCU Health, and Sentara Healthcare, all of which have histories of sponsoring international clinical and research professionals. J-1 visa roles in Virginia concentrate in Northern Virginia, Richmond, and the Hampton Roads region, covering physicians, clinical researchers, and allied health specialists across acute care, academic medicine, and public health settings.
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Charlottesville, Virginia, United States of America
Category
Research
The Rector & Visitors of the University of Virginia
Job Id R0084977
Job Type Full time
About the School
The University of Virginia School of Data Science, the first of its kind in the nation, advances discovery, innovation, and societal impact through collaborative, open, and responsible data science research and education. Founded in 2019, the School brings together expertise across business, computation, engineering, humanities, law, mathematics, social sciences, and statistics to address complex, real-world challenges. Its academic offerings include a B.S. in Data Science, an undergraduate minor, residential and online M.S. in Data Science programs, and a Ph.D. in Data Science, all designed to prepare students for a rapidly evolving data-driven world.
About the Position
This position leads the design, execution, and analysis of a large paired human-subjects study that links AI biosecurity benchmark scores to performance on realistic biological protocol-design and troubleshooting tasks. The researcher reports to Associate Professor Stephen D. Turner and coordinates closely with co-investigators Tom Hartvigsen and Chirag Agarwal, and a laboratory partner. The role draws on study design, psychometric and statistical analysis, and management of participant data collection. The researcher will also contribute to a parallel machine unlearning effort, supporting measurement of how capability-mitigation methods affect both benchmark scores and real-world task performance.
Key Responsibilities
- Lead day-to-day execution of the paired evaluation study, including benchmark administration, participant recruitment and scheduling, and coordination with the laboratory partner on protocol intake and outcome reporting
- Develop scoring rubrics and instruments for protocol-design, feasibility, and troubleshooting tasks
- Build and run mixed-effects and item-level analyses that estimate how benchmark scores predict real-world task performance, with quantified uncertainty
- Produce the benchmark validity report and the benchmark-to-task crosswalk and calibration framework
- Contribute to the machine unlearning and model editing components through safety-utility analyses, including within-subject comparisons of model variants on shared task batteries
- Prepare manuscripts, preprints, and documentation for open release, and support IRB compliance and data quality
Minimum Qualifications
- Doctoral degree (PhD or equivalent) in data science, statistics, biostatistics, psychometrics, quantitative psychology, a biological or biomedical science, or a related field, completed at the time of hire
- Experience designing and analyzing human subjects studies, including power analysis and study design
- Strong statistical programming in R or Python, including mixed-effects or hierarchical modeling
- Working knowledge of molecular biology or microbiology sufficient to evaluate biological protocols and collaborate with laboratory scientists
Preferred Qualifications
- Research experience in biosecurity, biodefense, or dual-use risk assessment
- Familiarity with AI or large language model evaluation, benchmarking, or psychometric validation of model capabilities
- Experience with machine learning tooling such as PyTorch or Hugging Face Transformers, and with model finetuning workflows
- Prior work under IRB oversight and with controlled or sensitive data
- Record of open-source software or reproducible-research practices
- Experience coordinating academic-industry or multi-site research collaborations
Anticipated Salary
$60,000 - $75,000 per year
Anticipated Start Date
September 1, 2026
Health and Other Benefits
(visit Health and Other Benefits for additional information)
- UVA Health Plan: the choice between 3 different health plans
- Vision Coverage
- Dental Plan
- Benefit Savings Plans
- Life Insurance
- Disability Benefits
- Paid Time Off: starting with 22 days of time off per year, 12 or more holidays, 8 weeks parental leave
Education Benefits
(visit Education Benefits for additional information)
After six months of employment, full-time and part-time (20+ hours) employees in a benefits-eligible position are offered options of:
- Use of up to $5250 per calendar year towards a for-credit degree program or for-credit certificate program
- Use of up to $2000 of the total $5250 noted above per calendar year for professional development including job-related training, conferences, and initial certificate exams.
Position Details
This position will remain open until it is filled. This is a full-time in-person position at the School of Data Science at the University of Virginia in Charlottesville, VA. The initial appointment is for one year; however, the appointment may be renewed for an additional year contingent upon funding and satisfactory performance. This is an exempt level, term-limited (restricted), benefited position.
Anticipated Salary
$70,000
Anticipated Start Date
September 1, 2026
Application Process
Please apply online, and search for R0084977.
Complete an application online and attach:
- Cover letter detailing your interest and relevant experience to this position
- Resume or CV
- Two letters of recommendation with contact information
Applications that do not contain all required documents will not receive full consideration.
Internal applicants: Search and apply for jobs on the UVA Internal Careers website.
References will be completed via direct reach. Please plan to provide at least three references when applying.
A background check is required and will be conducted per university policy prior to the first day of employment.
For questions about the position, contact Associate Professor Stephen D. Turner at sdt5z@virginia.edu.
For questions about the application process, please contact Daniel Strong, Senior Human Resources Recruiter, at das6zb@virginia.edu.
For more information about UVA and the Charlottesville community, please see www.virginia.edu/life/charlottesville and https://embarkcva.com/.
The University of Virginia is an equal opportunity employer. All interested persons are encouraged to apply, including veterans and individuals with disabilities.
MINIMUM REQUIREMENTS
Education: Doctoral degree
Experience: None
Licensure: None
PHYSICAL DEMANDS
This is primarily a sedentary job involving extensive use of desktop computers. The job does occasionally require traveling some distance to attend meetings, and programs.
The University of Virginia is an equal opportunity employer. All interested persons are encouraged to apply, including veterans and individuals with disabilities. Learn more about UVA’s commitment to non-discrimination and equal opportunity employment.
Location
Charlottesville, Virginia, United States of America
Category
Research
The Rector & Visitors of the University of Virginia
Job Id R0084977
Job Type Full time
About the School
The University of Virginia School of Data Science, the first of its kind in the nation, advances discovery, innovation, and societal impact through collaborative, open, and responsible data science research and education. Founded in 2019, the School brings together expertise across business, computation, engineering, humanities, law, mathematics, social sciences, and statistics to address complex, real-world challenges. Its academic offerings include a B.S. in Data Science, an undergraduate minor, residential and online M.S. in Data Science programs, and a Ph.D. in Data Science, all designed to prepare students for a rapidly evolving data-driven world.
About the Position
This position leads the design, execution, and analysis of a large paired human-subjects study that links AI biosecurity benchmark scores to performance on realistic biological protocol-design and troubleshooting tasks. The researcher reports to Associate Professor Stephen D. Turner and coordinates closely with co-investigators Tom Hartvigsen and Chirag Agarwal, and a laboratory partner. The role draws on study design, psychometric and statistical analysis, and management of participant data collection. The researcher will also contribute to a parallel machine unlearning effort, supporting measurement of how capability-mitigation methods affect both benchmark scores and real-world task performance.
Key Responsibilities
- Lead day-to-day execution of the paired evaluation study, including benchmark administration, participant recruitment and scheduling, and coordination with the laboratory partner on protocol intake and outcome reporting
- Develop scoring rubrics and instruments for protocol-design, feasibility, and troubleshooting tasks
- Build and run mixed-effects and item-level analyses that estimate how benchmark scores predict real-world task performance, with quantified uncertainty
- Produce the benchmark validity report and the benchmark-to-task crosswalk and calibration framework
- Contribute to the machine unlearning and model editing components through safety-utility analyses, including within-subject comparisons of model variants on shared task batteries
- Prepare manuscripts, preprints, and documentation for open release, and support IRB compliance and data quality
Minimum Qualifications
- Doctoral degree (PhD or equivalent) in data science, statistics, biostatistics, psychometrics, quantitative psychology, a biological or biomedical science, or a related field, completed at the time of hire
- Experience designing and analyzing human subjects studies, including power analysis and study design
- Strong statistical programming in R or Python, including mixed-effects or hierarchical modeling
- Working knowledge of molecular biology or microbiology sufficient to evaluate biological protocols and collaborate with laboratory scientists
Preferred Qualifications
- Research experience in biosecurity, biodefense, or dual-use risk assessment
- Familiarity with AI or large language model evaluation, benchmarking, or psychometric validation of model capabilities
- Experience with machine learning tooling such as PyTorch or Hugging Face Transformers, and with model finetuning workflows
- Prior work under IRB oversight and with controlled or sensitive data
- Record of open-source software or reproducible-research practices
- Experience coordinating academic-industry or multi-site research collaborations
Anticipated Salary
$60,000 - $75,000 per year
Anticipated Start Date
September 1, 2026
Health and Other Benefits
(visit Health and Other Benefits for additional information)
- UVA Health Plan: the choice between 3 different health plans
- Vision Coverage
- Dental Plan
- Benefit Savings Plans
- Life Insurance
- Disability Benefits
- Paid Time Off: starting with 22 days of time off per year, 12 or more holidays, 8 weeks parental leave
Education Benefits
(visit Education Benefits for additional information)
After six months of employment, full-time and part-time (20+ hours) employees in a benefits-eligible position are offered options of:
- Use of up to $5250 per calendar year towards a for-credit degree program or for-credit certificate program
- Use of up to $2000 of the total $5250 noted above per calendar year for professional development including job-related training, conferences, and initial certificate exams.
Position Details
This position will remain open until it is filled. This is a full-time in-person position at the School of Data Science at the University of Virginia in Charlottesville, VA. The initial appointment is for one year; however, the appointment may be renewed for an additional year contingent upon funding and satisfactory performance. This is an exempt level, term-limited (restricted), benefited position.
Anticipated Salary
$70,000
Anticipated Start Date
September 1, 2026
Application Process
Please apply online, and search for R0084977.
Complete an application online and attach:
- Cover letter detailing your interest and relevant experience to this position
- Resume or CV
- Two letters of recommendation with contact information
Applications that do not contain all required documents will not receive full consideration.
Internal applicants: Search and apply for jobs on the UVA Internal Careers website.
References will be completed via direct reach. Please plan to provide at least three references when applying.
A background check is required and will be conducted per university policy prior to the first day of employment.
For questions about the position, contact Associate Professor Stephen D. Turner at sdt5z@virginia.edu.
For questions about the application process, please contact Daniel Strong, Senior Human Resources Recruiter, at das6zb@virginia.edu.
For more information about UVA and the Charlottesville community, please see www.virginia.edu/life/charlottesville and https://embarkcva.com/.
The University of Virginia is an equal opportunity employer. All interested persons are encouraged to apply, including veterans and individuals with disabilities.
MINIMUM REQUIREMENTS
Education: Doctoral degree
Experience: None
Licensure: None
PHYSICAL DEMANDS
This is primarily a sedentary job involving extensive use of desktop computers. The job does occasionally require traveling some distance to attend meetings, and programs.
The University of Virginia is an equal opportunity employer. All interested persons are encouraged to apply, including veterans and individuals with disabilities. Learn more about UVA’s commitment to non-discrimination and equal opportunity employment.
J-1 Healthcare Job Roles in Virginia
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Search Healthcare Jobs in VirginiaHealthcare J-1 Sponsorship Jobs in Virginia: Frequently Asked Questions
Which healthcare companies sponsor J-1 visas in Virginia?
Virginia's largest health systems are among the most active J-1 visa sponsors in the state. Inova Health System in Northern Virginia, VCU Health and Bon Secours in Richmond, Sentara Healthcare across Hampton Roads, and the University of Virginia Health System in Charlottesville regularly sponsor international physicians and clinical researchers. Academic medical centers are particularly active because J-1 exchange visitor programs align closely with their graduate medical education and research missions.
Which cities in Virginia have the most healthcare J-1 sponsorship jobs?
Northern Virginia, particularly Fairfax and Arlington counties, has the highest concentration of J-1 healthcare roles given its proximity to Washington, D.C. and the density of hospital systems and research institutions there. Richmond follows closely, driven by VCU Health's academic medical center and Bon Secours facilities. Charlottesville and Roanoke also generate steady J-1 openings through UVA Health and Carilion Clinic respectively, especially for physician and clinical research positions.
What types of healthcare roles typically qualify for J-1 sponsorship in Virginia?
J-1 sponsorship in Virginia's healthcare sector most commonly covers physicians in residency and fellowship training programs, clinical researchers, and medical faculty positions at academic institutions. Registered nurses and allied health roles such as physical therapists and medical laboratory scientists may qualify under exchange visitor categories tied to training or research objectives. Roles must have a clear educational or exchange component recognized by a designated J-1 program sponsor, which is distinct from standard employment-based visa categories.
How do I find healthcare J-1 sponsorship jobs in Virginia?
Migrate Mate lets you filter job listings specifically by visa type and state, making it straightforward to identify Virginia employers actively sponsoring J-1 healthcare roles. Because J-1 sponsorship requires a designated exchange sponsor organization, searching by confirmed sponsorship history is more reliable than applying broadly and asking. Migrate Mate surfaces employers with verified J-1 filing activity, so you can focus on healthcare positions in Virginia where sponsorship is already part of the hiring process.
Are there any Virginia-specific considerations for J-1 healthcare sponsorship?
Virginia's Certificate of Need laws shape where new healthcare facilities can open, which concentrates J-1 hiring activity at established major health systems rather than newer outpatient or specialty providers. Physicians entering Virginia on a J-1 waiver through the Conrad 30 program must practice in a federally designated Health Professional Shortage Area for at least three years. Virginia participates in the Conrad 30 program, and the Virginia Department of Health manages waiver applications, so physicians subject to the two-year home residency requirement should account for this pathway when evaluating positions.