J-1 Visa Data Governance Lead Jobs
Data Governance Lead roles in the United States are accessible to international professionals through the J-1 visa, typically under the Trainee or Research Scholar category depending on your career stage. Securing sponsorship requires a U.S. Department of State-designated sponsor organization to issue your DS-2019 before you begin work.
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Get Access To All JobsSummary: The Center for Telemedicine and AI‑Fortified Precision Digital Health at the University of Arizona seeks a postdoctoral fellow to develop and validate predictive models that fuse serial multimodal remote patient monitoring signals. The fellow will lead research on transformer‑based architectures and advanced biomedical signal processing to predict clinical trajectories from wearables, vital sign monitors, patient‑reported outcomes, and voice biomarkers. This is a full‑time, research‑focused appointment with opportunities for collaboration across clinical, engineering, and data science teams.
Key Responsibilities
- Research and Model Development: Design, implement, and evaluate transformer and other sequence models for longitudinal, multimodal patient monitoring data.
- Signal Processing: Preprocess and extract features from physiological waveforms and sensor streams including ECG, PPG, accelerometry, respiratory signals, and audio.
- Multimodal Fusion: Develop methods to fuse heterogeneous inputs such as continuous sensor streams, intermittent vital signs, PROs, and voice biomarkers into unified predictive representations.
- Validation and Deployment: Rigorously validate models using held‑out cohorts, cross‑site datasets, and clinically meaningful endpoints; collaborate with engineers to prototype reproducible pipelines for deployment and prospective testing.
- Collaboration and Communication: Work closely with clinicians, device engineers, and regulatory experts; present results at conferences and prepare manuscripts for peer‑reviewed journals.
- Data Governance: Ensure compliance with data security, privacy, and regulatory requirements for protected health information.
Preferred Qualifications
- Prior experience with clinical datasets and remote patient monitoring deployments.
- Familiarity with cloud platforms and scalable data pipelines for streaming or batch processing.
- Knowledge of regulatory and privacy frameworks relevant to clinical data, including HIPAA.
- Skills in statistical methods for longitudinal data, survival analysis, and uncertainty quantification.
- Experience with explainability and fairness techniques for clinical AI models.
- Software engineering best practices including version control, testing, and containerization.
Position Details and Benefits
- Appointment length: Typical initial appointment is two years with potential renewal based on performance and funding.
- Mentorship: Direct mentorship from the Center Director and access to multidisciplinary collaborators across clinical and engineering departments.
- Resources: Access to compute resources, annotated clinical datasets, device integration support, and funding for conference travel.
- Compensation and benefits: Competitive salary and full institutional benefits consistent with postdoctoral appointments.
Pay: $68,000.00 - $84,000.00 per year
Benefits:
- Dental insurance
- Health insurance
- Life insurance
- Paid time off
- Professional development assistance
- Relocation assistance
- Tuition reimbursement
Work Location: In person
Summary: The Center for Telemedicine and AI‑Fortified Precision Digital Health at the University of Arizona seeks a postdoctoral fellow to develop and validate predictive models that fuse serial multimodal remote patient monitoring signals. The fellow will lead research on transformer‑based architectures and advanced biomedical signal processing to predict clinical trajectories from wearables, vital sign monitors, patient‑reported outcomes, and voice biomarkers. This is a full‑time, research‑focused appointment with opportunities for collaboration across clinical, engineering, and data science teams.
Key Responsibilities
- Research and Model Development: Design, implement, and evaluate transformer and other sequence models for longitudinal, multimodal patient monitoring data.
- Signal Processing: Preprocess and extract features from physiological waveforms and sensor streams including ECG, PPG, accelerometry, respiratory signals, and audio.
- Multimodal Fusion: Develop methods to fuse heterogeneous inputs such as continuous sensor streams, intermittent vital signs, PROs, and voice biomarkers into unified predictive representations.
- Validation and Deployment: Rigorously validate models using held‑out cohorts, cross‑site datasets, and clinically meaningful endpoints; collaborate with engineers to prototype reproducible pipelines for deployment and prospective testing.
- Collaboration and Communication: Work closely with clinicians, device engineers, and regulatory experts; present results at conferences and prepare manuscripts for peer‑reviewed journals.
- Data Governance: Ensure compliance with data security, privacy, and regulatory requirements for protected health information.
Preferred Qualifications
- Prior experience with clinical datasets and remote patient monitoring deployments.
- Familiarity with cloud platforms and scalable data pipelines for streaming or batch processing.
- Knowledge of regulatory and privacy frameworks relevant to clinical data, including HIPAA.
- Skills in statistical methods for longitudinal data, survival analysis, and uncertainty quantification.
- Experience with explainability and fairness techniques for clinical AI models.
- Software engineering best practices including version control, testing, and containerization.
Position Details and Benefits
- Appointment length: Typical initial appointment is two years with potential renewal based on performance and funding.
- Mentorship: Direct mentorship from the Center Director and access to multidisciplinary collaborators across clinical and engineering departments.
- Resources: Access to compute resources, annotated clinical datasets, device integration support, and funding for conference travel.
- Compensation and benefits: Competitive salary and full institutional benefits consistent with postdoctoral appointments.
Pay: $68,000.00 - $84,000.00 per year
Benefits:
- Dental insurance
- Health insurance
- Life insurance
- Paid time off
- Professional development assistance
- Relocation assistance
- Tuition reimbursement
Work Location: In person
See all 484+ J-1 Visa Data Governance Lead Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new J-1 Visa Data Governance Lead Jobs.
Get Access To All JobsTips for Finding J-1 Visa Sponsorship in Data Governance Lead
Align your credentials to J-1 category requirements
The Trainee category requires a degree and at least one year of relevant experience, or five years of work experience without a degree. Document your data governance background in detail before approaching any designated sponsor.
Identify host employers through targeted job searches
Use Migrate Mate to find U.S. employers actively seeking Data Governance Leads with J-1 visa-compatible roles. Not every employer understands the host-organization model, so filtering for J-1-aware postings saves significant time.
Prepare a structured training plan early
Designated sponsors like Cultural Vistas or AIPT require a detailed Training or Internship Placement Plan (DS-7002) before issuing a DS-2019. Map your proposed data governance work to specific learning objectives, tools, and measurable outcomes in advance.
Check whether your role triggers the two-year home residency rule
Data governance work funded by your home government or involving skills on the Exchange Visitor Skills List may impose a two-year home-country residency requirement. Confirm your situation with your designated sponsor before accepting an offer.
Verify your prospective host employer's site approval status
Your designated sponsor must formally approve the host organization's worksite before your DS-2019 is issued. Confirm the employer is willing to complete the sponsor's host vetting process and sign required agreements during your offer negotiations.
Request wage documentation aligned with DOL prevailing wage standards
While J-1 programs don't require LCA filings like H-1B visa, your offer must meet fair and reasonable compensation standards. Cross-reference the role's pay against O*NET and OFLC Wage Search data so you can flag any discrepancy before signing.
Data Governance Lead J-1 Visa: Frequently Asked Questions
Which J-1 program category fits a Data Governance Lead role?
Most experienced professionals in data governance qualify under the Trainee category, which is designed for those applying skills gained through education or prior work experience. If the role is embedded in a university or research institution, the Research Scholar or Specialist category may apply instead. Your designated sponsor makes the final category determination based on your credentials and the host employer's program structure.
Who actually sponsors my J-1 visa for a data governance position?
The visa sponsor is a U.S. Department of State-designated organization, such as Cultural Vistas, AIPT, or IIE. They issue your DS-2019 and oversee compliance throughout your program. The hiring company is your host organization, not your visa sponsor. This distinction matters during negotiations because the employer must agree to the designated sponsor's oversight requirements before your DS-2019 can be issued.
Can I use Migrate Mate to find Data Governance Lead roles with J-1 sponsorship?
Yes. Migrate Mate is built specifically for international professionals searching for U.S. roles that align with visa sponsorship pathways, including J-1. You can filter for data governance positions and identify employers who understand the host-organization model, which significantly narrows your outreach to companies already familiar with the DS-2019 process.
Does the two-year home residency requirement apply to data governance professionals?
It depends on two factors: whether your home government funded your exchange program, and whether your country and skills appear on the Exchange Visitor Skills List maintained by the State Department. Data governance is a technical field that may appear on the skills list depending on your nationality. Confirm your status with your designated sponsor before your DS-2019 is issued, not after, since a waiver process can be lengthy.
What does the DS-7002 training plan need to include for a data governance role?
The DS-7002 is a structured form your designated sponsor requires before issuing the DS-2019. For a Data Governance Lead, it should outline specific learning objectives tied to data cataloging, policy frameworks, metadata management, or compliance workflows, with measurable goals and defined supervision. Vague descriptions of general IT work are routinely rejected. Align each phase of your training plan to concrete deliverables the host employer has already agreed to provide.