E-3 Visa Data Science Lead Jobs
Data Science Lead roles qualify for E-3 visa sponsorship as specialty occupations requiring a bachelor's degree or higher in statistics, computer science, or a related field. Australian professionals can secure two-year renewable E-3 status with no lottery, making this one of the most direct paths to leading U.S. data teams.
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Get Access To All JobsINTRODUCTION
The Peter O’Donnell Jr. School of Public Health (OSPH) at UT Southwestern Medical Center invites applications and nominations for tenure-accruing/tenure-track faculty positions at the Associate Professor or Professor level for investigators with expertise in clinical informatics, learning health systems, health data science, clinical decision support, implementation science, real-world evidence generation, AI-enabled healthcare innovation, or related disciplines.
This is an exceptional opportunity to build and lead a nationally visible research program at the intersection of clinical care, data science, digital innovation, and health system transformation. Successful candidates will have the opportunity to develop, implement, and evaluate informatics interventions in partnership with one of the nation’s leading academic health systems and its affiliated care delivery organizations.
The successful candidate will hold a primary appointment in the Department of Health Data Science and Biostatistics within the O’Donnell School of Public Health and will play a leadership role within the Clinical Informatics Center (CIC), a newly established enterprise-wide center focused on advancing learning health systems, clinical decision support, AI implementation, digital health innovation, and data-driven care improvement.
The position offers a unique environment in which research, operations, and education are intentionally aligned. Faculty benefit from direct access to operational informatics teams, enterprise data resources, Epic-based clinical decision support infrastructure, CTSA-supported research programs, and partnerships spanning UT Southwestern, Parkland Health, Children’s Health, Texas Health Resources, and the North Texas VA. These partnerships provide unparalleled opportunities to generate evidence from real-world healthcare delivery and rapidly translate discoveries into practice.
Candidates may pursue a broad range of scholarly interests, including but not limited to:
- Learning Health Systems
- Clinical decision support and workflow-integrated interventions
- AI and machine learning in healthcare
- Knowledge representation, biomedical ontologies, and computable biomedical knowledge
- Pharmacovigilance, medication safety, and real-world evidence
- Health data standards, interoperability, and FHIR-enabled innovation
- Predictive analytics and clinical risk modeling
- Digital health and healthcare transformation
- Evaluation of health system interventions and implementation strategies
ROLE AND RESPONSIBILITIES
The successful candidate will be expected to:
- Develop and sustain a nationally recognized, externally funded research program
- Provide scientific leadership for learning health system and clinical informatics initiatives
- Collaborate with operational leaders to evaluate and improve digital interventions deployed in clinical practice
- Foster interdisciplinary collaborations across public health, medicine, nursing, pharmacy, and health system operations
- Mentor graduate students, fellows, and junior faculty
- Contribute to the continued growth of educational programs in health informatics, health data science, and learning health systems
- Participate in strategic initiatives that strengthen UT Southwestern’s national leadership in clinical informatics and health system innovation
This position is particularly well suited for investigators who are motivated by the opportunity to conduct rigorous, high-impact research embedded within healthcare delivery systems and who seek to build programs that bridge discovery, implementation, and measurable improvements in patient care.
BASIC QUALIFICATIONS
- PhD, ScD, DrPH, or equivalent research doctoral degree in health informatics or health data science
- Demonstrated ability to conduct scholarly research and capacity to obtain peer-reviewed funding
- Ability to mentor pre- and post-doctoral students and capacity for teaching excellence at the graduate level
- Ability to collaborate closely and effectively with other members of multidisciplinary research teams
- Desire to partner with healthcare systems, public health agencies, and/or community organizations
UT Southwestern Medical Center is committed to an educational and working environment that provides equal opportunity to all members of the University community. As an equal opportunity employer, UT Southwestern prohibits unlawful discrimination, including discrimination on the basis of race, color, religion, national origin, sex, sexual orientation, gender identity, gender expression, age, disability, genetic information, citizenship status, or veteran status.
This position is security-sensitive and subject to Texas Education Code 51.215, which authorizes UT Southwestern to obtain criminal history record information.
Appointment rank will be commensurate with academic accomplishment and experience. Consideration may be given to applicants seeking less than a full-time schedule.
BENEFITS
UT Southwestern is proud to offer a competitive and comprehensive benefits package to eligible employees. Our benefits are designed to support your overall wellbeing, and include:
- PPO medical plan, available day one at no cost for full-time employee-only coverage
- 100% coverage for preventive healthcare – no copay
- Paid Time Off, available day one
- Retirement Programs through the Teacher Retirement System of Texas (TRS)
- Paid Parental Leave Benefit
- Wellness programs
- Tuition Reimbursement
- Public Service Loan Forgiveness (PSLF) Qualified Employer
INTRODUCTION
The Peter O’Donnell Jr. School of Public Health (OSPH) at UT Southwestern Medical Center invites applications and nominations for tenure-accruing/tenure-track faculty positions at the Associate Professor or Professor level for investigators with expertise in clinical informatics, learning health systems, health data science, clinical decision support, implementation science, real-world evidence generation, AI-enabled healthcare innovation, or related disciplines.
This is an exceptional opportunity to build and lead a nationally visible research program at the intersection of clinical care, data science, digital innovation, and health system transformation. Successful candidates will have the opportunity to develop, implement, and evaluate informatics interventions in partnership with one of the nation’s leading academic health systems and its affiliated care delivery organizations.
The successful candidate will hold a primary appointment in the Department of Health Data Science and Biostatistics within the O’Donnell School of Public Health and will play a leadership role within the Clinical Informatics Center (CIC), a newly established enterprise-wide center focused on advancing learning health systems, clinical decision support, AI implementation, digital health innovation, and data-driven care improvement.
The position offers a unique environment in which research, operations, and education are intentionally aligned. Faculty benefit from direct access to operational informatics teams, enterprise data resources, Epic-based clinical decision support infrastructure, CTSA-supported research programs, and partnerships spanning UT Southwestern, Parkland Health, Children’s Health, Texas Health Resources, and the North Texas VA. These partnerships provide unparalleled opportunities to generate evidence from real-world healthcare delivery and rapidly translate discoveries into practice.
Candidates may pursue a broad range of scholarly interests, including but not limited to:
- Learning Health Systems
- Clinical decision support and workflow-integrated interventions
- AI and machine learning in healthcare
- Knowledge representation, biomedical ontologies, and computable biomedical knowledge
- Pharmacovigilance, medication safety, and real-world evidence
- Health data standards, interoperability, and FHIR-enabled innovation
- Predictive analytics and clinical risk modeling
- Digital health and healthcare transformation
- Evaluation of health system interventions and implementation strategies
ROLE AND RESPONSIBILITIES
The successful candidate will be expected to:
- Develop and sustain a nationally recognized, externally funded research program
- Provide scientific leadership for learning health system and clinical informatics initiatives
- Collaborate with operational leaders to evaluate and improve digital interventions deployed in clinical practice
- Foster interdisciplinary collaborations across public health, medicine, nursing, pharmacy, and health system operations
- Mentor graduate students, fellows, and junior faculty
- Contribute to the continued growth of educational programs in health informatics, health data science, and learning health systems
- Participate in strategic initiatives that strengthen UT Southwestern’s national leadership in clinical informatics and health system innovation
This position is particularly well suited for investigators who are motivated by the opportunity to conduct rigorous, high-impact research embedded within healthcare delivery systems and who seek to build programs that bridge discovery, implementation, and measurable improvements in patient care.
BASIC QUALIFICATIONS
- PhD, ScD, DrPH, or equivalent research doctoral degree in health informatics or health data science
- Demonstrated ability to conduct scholarly research and capacity to obtain peer-reviewed funding
- Ability to mentor pre- and post-doctoral students and capacity for teaching excellence at the graduate level
- Ability to collaborate closely and effectively with other members of multidisciplinary research teams
- Desire to partner with healthcare systems, public health agencies, and/or community organizations
UT Southwestern Medical Center is committed to an educational and working environment that provides equal opportunity to all members of the University community. As an equal opportunity employer, UT Southwestern prohibits unlawful discrimination, including discrimination on the basis of race, color, religion, national origin, sex, sexual orientation, gender identity, gender expression, age, disability, genetic information, citizenship status, or veteran status.
This position is security-sensitive and subject to Texas Education Code 51.215, which authorizes UT Southwestern to obtain criminal history record information.
Appointment rank will be commensurate with academic accomplishment and experience. Consideration may be given to applicants seeking less than a full-time schedule.
BENEFITS
UT Southwestern is proud to offer a competitive and comprehensive benefits package to eligible employees. Our benefits are designed to support your overall wellbeing, and include:
- PPO medical plan, available day one at no cost for full-time employee-only coverage
- 100% coverage for preventive healthcare – no copay
- Paid Time Off, available day one
- Retirement Programs through the Teacher Retirement System of Texas (TRS)
- Paid Parental Leave Benefit
- Wellness programs
- Tuition Reimbursement
- Public Service Loan Forgiveness (PSLF) Qualified Employer
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Get Access To All JobsTips for Finding E-3 Visa Sponsorship in Data Science Lead
Frame your degree for specialty occupation
U.S. consular officers assess whether your Australian degree directly supports the Data Science Lead role. A three-year Australian bachelor's in statistics or computer science is generally accepted as equivalent to a U.S. four-year degree, but document the equivalency explicitly in your application package.
Target employers with active LCA filing history
Search the DOL's FLAG portal for companies that have recently filed Labor Condition Applications for data science roles. Employers with LCA history already understand the E-3 visa process, which shortens the sponsorship conversation significantly compared to first-time sponsors.
Address the specialty occupation standard early
Many hiring managers assume senior data roles are too generalist to qualify as specialty occupations. Lead with the fact that Data Science Lead positions require a specific technical degree, which clears the USCIS specialty occupation threshold and keeps sponsorship conversations moving forward.
Get the LCA certified before your consulate appointment
Your employer must file and receive DOL certification of the LCA before you can attend your E-3 visa interview. Coordinate this timeline with your hiring team early so a delayed LCA doesn't push back your start date. Use Migrate Mate's E-3 filing service to handle your LCA and visa paperwork end-to-end.
Prepare for nonimmigrant intent questions at interview
Unlike an H-1B visa, the E-3 is a nonimmigrant visa, so consular officers may probe your intent to return to Australia. Have clear, specific answers about ties to Australia ready, even if you plan to renew your E-3 indefinitely through ongoing employment.
Search verified E-3 sponsoring employers through Migrate Mate
Generic job searches won't filter for E-3 sponsorship willingness. Migrate Mate surfaces employers who actively sponsor E-3 visas for data roles, saving you from spending weeks on applications with companies that won't support Australian nationals.
E-3 Visa Data Science Lead: Frequently Asked Questions
How do I find Data Science Lead jobs that offer E-3 visa sponsorship?
Migrate Mate is built specifically for this search. It filters for employers with active E-3 sponsorship history in data and analytics roles, so you're not guessing which companies will support Australian nationals. Searching broadly and hoping a recruiter raises the E-3 option rarely works at the lead level, where sponsorship decisions are made earlier in the hiring process.
How much does it cost to get an E-3 visa?
Migrate Mate's E-3 filing service covers the entire process for $499, including the Labor Condition Application, visa document preparation, and consulate appointment guidance. Traditional immigration lawyers charge $2,000–$5,000+ for the same work. The E-3 has less paperwork than most work visas, so paying thousands for legal help is usually unnecessary.
Does a Data Science Lead role qualify as a specialty occupation for the E-3?
Yes, provided the role requires a bachelor's degree or higher in a specific technical field such as statistics, computer science, data science, or mathematics. Roles that accept any bachelor's degree regardless of field are harder to qualify. The job description should explicitly state a degree requirement tied to the technical nature of the position.
How does the E-3 compare to the H-1B for Data Science Lead roles?
The E-3 has no annual lottery and no cap on available visas, so you can apply year-round when you have a job offer, not just during a narrow April window. H-1B selection is random and the odds depend on overall registration volume. For Australian nationals, the E-3 is a faster, more predictable path to the same senior data leadership roles.
Can I switch employers on an E-3 while working as a Data Science Lead?
Yes, but the process starts fresh with the new employer. Your current E-3 is tied to your existing job offer and LCA, so your new employer must file a new LCA and you'll typically need to attend a new consulate appointment. There's no formal portability rule like the H-1B's 180-day AC21 protection, so plan the transition timeline carefully with your new team.