Healthcare Jobs at University of Connecticut with Visa Sponsorship
Healthcare jobs at University of Connecticut span clinical, research, and administrative functions tied to its academic medical programs. The university has an established sponsorship process and works with international candidates across multiple visa categories, making it a practical target if you're building a U.S. healthcare career through an academic institution.
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Get Access To All JobsVice President for AI Healthcare Innovation
The Vice President (ED) of the UConn Health AI Institute will serve as the founding leader responsible for building and scaling a nationally recognized hub for AI-driven healthcare innovation. The ED will translate UConn Health's strategic vision into operational, clinical, and financial success by positioning the Institute as a premier clinical proving ground for external AI companies, accelerating adoption of validated technologies, and generating long-term institutional value through strategic investment. This role requires a unique combination of healthcare leadership, change management in legacy organizations, knowledge of venture investing, operational execution, and academic collaboration.
Key Responsibilities
- Strategic Leadership & Institute Development
- Establish and operationalize the AI Institute in alignment with UConn Health's mission and strategic priorities
- Define and execute a market-oriented strategy focused on identifying, evaluating, and integrating best-in-class external AI solutions rather than primarily incubating internal startups
- Position UConn Health as a trusted validation environment for AI solutions leveraging real-world operational, and clinical workflows and patient data as appropriate
-
Build the Institute's national reputation as a leader in healthcare AI innovation
-
Clinical & Operational AI Integration
- Partner with clinical, operational, and administrative leaders to:
- Identify high-priority unmet needs across UConn Health
- Define use cases for AI deployment
- Oversee structured pilots, validation studies, and enterprise-scale deployment of AI solutions
-
Ensure measurable improvements in:
- Patient outcomes
- Operational efficiency
- Financial performance
-
External Partnerships & Ecosystem Development
- Develop a robust pipeline of AI companies for evaluation and partnership
- Serve as a strategic liaison between:
- AI startups and UConn Health departments and stakeholders
- UConn Health clinical leadership
- Academic units (including the School of Business) as appropriate
-
Establish UConn Health as a preferred partner for leading healthcare AI innovators
-
Venture Fund & Investment Collaboration
- Work in close partnership with the AI Institute Investment Committee, chaired by John Kim
- Support sourcing, evaluation, and validation of companies for potential investment
- Ensure that clinical pilots and operational results inform disciplined investment decisions
-
Contribute to building a high-performing venture portfolio that delivers long-term financial returns to UConn Health
-
Governance & Institutional Alignment
- Report to UConn Health CEO within the UConn Health Finance Corporation
- Collaborate with the Institute's governing board, including external members and philanthropic partners
-
Ensure transparency, accountability, and alignment with institutional priorities
-
Financial Stewardship & Sustainability
- Manage a dual-structured model balancing:
- Directly responsible for managing the operating budget
- Provide strategic and operational support for the venture fund
- Drive progress toward a self-sustaining financial model through:
- Creating tangible revenue and expense efficiencies for UCONN Health
- Returns from the venture investments
- Licensing and commercialization opportunities
-
Support ongoing fundraising and donor engagement efforts
-
Team Building & Organizational Leadership
- As the Institute evolves recruit and lead a multidisciplinary team across:
- AI/technology evaluation
- Clinical integration
- Data science
- Business development and operations
- Foster a culture of rigor, speed, accountability, and innovation
Key Qualifications
Required
- Advanced degree (PhD, MBA, MD or equivalent)
- 15+ years of leadership experience in healthcare, technology, or innovation-driven organizations
- Demonstrated experience in AI, digital health, or healthcare transformation initiatives
- Experience in healthcare systems, clinical workflows, and data environments
- Experience leading cross-functional teams and complex implementations
Preferred
- Knowledge of venture capital, private equity, or corporate investment
- Experience in evaluating and scaling emerging technology companies
- Experience working in academic medical centers or research institutions
- Familiarity with regulatory, compliance, and ethical considerations in healthcare AI
Core Competencies
- Strategic vision with execution discipline
- Change management leadership of large organizations
- Strong stakeholder engagement and partnership skills
- Data-driven decision-making
- Ability to operate at the intersection of academic medicine, industry, and capital markets
- Investment and commercial acumen
Success Metrics (Illustrative)
- Number and quality of AI solutions evaluated and deployed
- Measurable clinical and operational improvements
- External partnerships and national reputation of the Institute
- Progress toward financial sustainability
Why This Role Matters
This is a foundational leadership role with the opportunity to shape a first-in-kind model: an AI Institute that integrates clinical validation, operational transformation, and venture investment into a unified platform. The Executive Director will play a central role in advancing UConn Health's position as a leader in AI-enabled healthcare innovation.
This position is Benefit eligible; click here for an overview of available benefits. This position is covered by the Man/Con Handbook; click here to review the current Handbook.
Vice President for AI Healthcare Innovation
The Vice President (ED) of the UConn Health AI Institute will serve as the founding leader responsible for building and scaling a nationally recognized hub for AI-driven healthcare innovation. The ED will translate UConn Health's strategic vision into operational, clinical, and financial success by positioning the Institute as a premier clinical proving ground for external AI companies, accelerating adoption of validated technologies, and generating long-term institutional value through strategic investment. This role requires a unique combination of healthcare leadership, change management in legacy organizations, knowledge of venture investing, operational execution, and academic collaboration.
Key Responsibilities
- Strategic Leadership & Institute Development
- Establish and operationalize the AI Institute in alignment with UConn Health's mission and strategic priorities
- Define and execute a market-oriented strategy focused on identifying, evaluating, and integrating best-in-class external AI solutions rather than primarily incubating internal startups
- Position UConn Health as a trusted validation environment for AI solutions leveraging real-world operational, and clinical workflows and patient data as appropriate
-
Build the Institute's national reputation as a leader in healthcare AI innovation
-
Clinical & Operational AI Integration
- Partner with clinical, operational, and administrative leaders to:
- Identify high-priority unmet needs across UConn Health
- Define use cases for AI deployment
- Oversee structured pilots, validation studies, and enterprise-scale deployment of AI solutions
-
Ensure measurable improvements in:
- Patient outcomes
- Operational efficiency
- Financial performance
-
External Partnerships & Ecosystem Development
- Develop a robust pipeline of AI companies for evaluation and partnership
- Serve as a strategic liaison between:
- AI startups and UConn Health departments and stakeholders
- UConn Health clinical leadership
- Academic units (including the School of Business) as appropriate
-
Establish UConn Health as a preferred partner for leading healthcare AI innovators
-
Venture Fund & Investment Collaboration
- Work in close partnership with the AI Institute Investment Committee, chaired by John Kim
- Support sourcing, evaluation, and validation of companies for potential investment
- Ensure that clinical pilots and operational results inform disciplined investment decisions
-
Contribute to building a high-performing venture portfolio that delivers long-term financial returns to UConn Health
-
Governance & Institutional Alignment
- Report to UConn Health CEO within the UConn Health Finance Corporation
- Collaborate with the Institute's governing board, including external members and philanthropic partners
-
Ensure transparency, accountability, and alignment with institutional priorities
-
Financial Stewardship & Sustainability
- Manage a dual-structured model balancing:
- Directly responsible for managing the operating budget
- Provide strategic and operational support for the venture fund
- Drive progress toward a self-sustaining financial model through:
- Creating tangible revenue and expense efficiencies for UCONN Health
- Returns from the venture investments
- Licensing and commercialization opportunities
-
Support ongoing fundraising and donor engagement efforts
-
Team Building & Organizational Leadership
- As the Institute evolves recruit and lead a multidisciplinary team across:
- AI/technology evaluation
- Clinical integration
- Data science
- Business development and operations
- Foster a culture of rigor, speed, accountability, and innovation
Key Qualifications
Required
- Advanced degree (PhD, MBA, MD or equivalent)
- 15+ years of leadership experience in healthcare, technology, or innovation-driven organizations
- Demonstrated experience in AI, digital health, or healthcare transformation initiatives
- Experience in healthcare systems, clinical workflows, and data environments
- Experience leading cross-functional teams and complex implementations
Preferred
- Knowledge of venture capital, private equity, or corporate investment
- Experience in evaluating and scaling emerging technology companies
- Experience working in academic medical centers or research institutions
- Familiarity with regulatory, compliance, and ethical considerations in healthcare AI
Core Competencies
- Strategic vision with execution discipline
- Change management leadership of large organizations
- Strong stakeholder engagement and partnership skills
- Data-driven decision-making
- Ability to operate at the intersection of academic medicine, industry, and capital markets
- Investment and commercial acumen
Success Metrics (Illustrative)
- Number and quality of AI solutions evaluated and deployed
- Measurable clinical and operational improvements
- External partnerships and national reputation of the Institute
- Progress toward financial sustainability
Why This Role Matters
This is a foundational leadership role with the opportunity to shape a first-in-kind model: an AI Institute that integrates clinical validation, operational transformation, and venture investment into a unified platform. The Executive Director will play a central role in advancing UConn Health's position as a leader in AI-enabled healthcare innovation.
This position is Benefit eligible; click here for an overview of available benefits. This position is covered by the Man/Con Handbook; click here to review the current Handbook.
Tips for Finding Healthcare Jobs at University of Connecticut
Align your credentials with USCIS specialty occupation standards
Healthcare roles at a research university like UConn often require degree-to-job field alignment, not just a clinical license. Verify that your degree specialty maps directly to the role title before applying, since USCIS scrutinizes this match closely for H-1B petitions.
Target UConn Health and academic department listings separately
University of Connecticut posts Healthcare openings across both its main campus and UConn Health, its academic medical center. Searching only one portal means missing roles. Check both systems, since sponsorship-eligible positions often appear on the health system side.
Use Migrate Mate to filter Healthcare roles by visa type
Not every UConn Healthcare posting will flag sponsorship eligibility upfront. Use Migrate Mate to browse open roles filtered by the visa categories UConn has historically sponsored, so you're applying to positions where international hiring is actually on the table.
Ask about LCA filing timelines before accepting an offer
UConn must file a Labor Condition Application with DOL before submitting your H-1B petition to USCIS. That step alone takes time. During negotiations, confirm where the university is in that process so you can realistically plan your start date.
Get your foreign medical credentials evaluated early
If your healthcare degree is from outside the U.S., credential evaluation through a NACES-approved organization can take weeks. UConn's HR and immigration teams will need verified equivalency documentation before processing any petition, so start this before the offer stage.
Clarify OPT cap-gap coverage if your F-1 is expiring
If you're on F-1 OPT and UConn files your H-1B petition before your OPT expires, cap-gap rules under USCIS regulations can extend your work authorization through September 30. Confirm your program end date and petition timing with UConn's international office immediately after receiving an offer.
Frequently Asked Questions
Does University of Connecticut sponsor H-1B visas for Healthcares?
Yes, University of Connecticut sponsors H-1B visas for qualifying Healthcare roles, particularly through UConn Health and its academic research programs. Sponsorship is typically available for positions that meet USCIS specialty occupation standards, meaning a specific degree field is required for the role, not just any bachelor's degree. Not every Healthcare posting will qualify, so confirming sponsorship eligibility directly with the hiring department before applying is the practical first step.
How do I apply for Healthcare jobs at University of Connecticut?
Healthcare positions at University of Connecticut are posted through two separate portals: the main UConn jobs site and the UConn Health careers portal. Search both systems using role-specific titles rather than broad category terms, since listings are not always duplicated across platforms. When applying, include documentation of any U.S. licensure or foreign credential evaluations upfront, as UConn's hiring process for clinical and research roles moves faster when eligibility is clear from the start.
Which visa types does University of Connecticut use for Healthcare roles?
University of Connecticut sponsors several visa categories for Healthcare employees, including H-1B for specialty occupation roles, TN visa for eligible Canadian and Mexican nationals in qualifying healthcare occupations, and F-1 OPT and CPT for students transitioning from academic programs. For longer-term pathways, UConn has also supported EB-2 and EB-3 Green Card sponsorship for roles where permanent employment is anticipated, though that process involves PERM labor certification through DOL and is initiated separately from the initial hire.
What qualifications does University of Connecticut expect for Healthcare roles?
Expectations vary by role, but most clinical and research Healthcare positions at UConn require a degree in a directly related field, active U.S. licensure where applicable, and demonstrated experience in an academic or hospital setting. Research-oriented roles may prioritize publication records or grant experience alongside clinical credentials. Roles supporting UConn Health's clinical programs often expect familiarity with HIPAA compliance and electronic health record systems. Foreign-trained applicants should have a credential equivalency evaluation completed before the interview stage.
How long does the sponsorship process take for a Healthcare role at UConn?
The timeline depends on the visa type. For H-1B sponsorship, UConn must first obtain a certified Labor Condition Application from DOL, which typically takes one to three weeks, before filing the I-129 petition with USCIS. Standard USCIS processing runs several months, though premium processing is available for faster adjudication. If you're already on F-1 OPT, cap-gap rules may bridge your work authorization during the wait. For Green Card sponsorship, the PERM process through DOL can add a year or more before USCIS petition filing begins. Browse open Healthcare roles at University of Connecticut on Migrate Mate to identify which positions are actively hiring international candidates.