E-3 Visa Data Science Engineer Jobs
Data Science Engineer roles in machine learning, pipeline architecture, and predictive modeling qualify as E-3 visa specialty occupations when the position requires a bachelor's degree or higher in a directly related field. Australian nationals can secure sponsorship without competing in a lottery, making the E-3 one of the most direct paths into U.S. data science 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
See all 94+ E-3 Visa Data Science Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new E-3 Visa Data Science Engineer Jobs.
Get Access To All JobsTips for Finding E-3 Visa Sponsorship as a Data Science Engineer
Translate your Australian degree for U.S. employers
A three-year Australian bachelor's in computer science or statistics is accepted as equivalent to a U.S. four-year degree under E-3 rules. Prepare a one-page credential summary that maps your qualification to the specialty occupation requirement your target role lists.
Filter job listings by LCA filing history
Search DOL disclosure data to confirm a company has filed Labor Condition Applications for data science titles before applying. Employers with recent LCA filings already understand the E-3 process, which shortens your time from offer to visa appointment significantly.
Flag your E-3 eligibility early in outreach
Many U.S. hiring managers conflate E-3 sponsorship with the H-1B lottery and assume it's off the table. State upfront that you're an Australian citizen eligible for E-3, which requires no lottery and can be processed before your start date.
Request an LCA for your specific job duties
The LCA your employer files with DOL must reflect your actual job title and responsibilities, not a generic data engineer template. Mismatched duty descriptions are a common cause of consular questions, so review the LCA before your employer certifies it.
Use Migrate Mate's E-3 filing service for end-to-end processing
Once you have an offer, use Migrate Mate's E-3 filing service to handle your LCA and visa paperwork from certification through consulate preparation. This removes the coordination burden from your employer and reduces the risk of documentation errors that delay your start date.
Prepare for specialty occupation questions at the consulate
Consular officers sometimes scrutinize data science roles where job ads list a degree as preferred rather than required. Bring a copy of the job description, your degree transcript, and a brief written explanation of how your qualifications directly support the role's technical requirements.
E-3 Visa Data Science Engineer: Frequently Asked Questions
How do I find Data Science Engineer jobs with E-3 visa sponsorship?
Migrate Mate is built specifically for this search. It surfaces Data Science Engineer roles at U.S. employers who have demonstrated E-3 or LCA filing activity, so you're not cold-applying to companies unfamiliar with Australian visa sponsorship. Filter by role, location, and industry to narrow your shortlist before reaching out.
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 Engineer role qualify as an E-3 specialty occupation?
Yes, provided the position genuinely requires at least a bachelor's degree in a directly related field such as computer science, statistics, or data engineering. Roles that list a degree as preferred rather than required can create complications at the consulate. Review the job description carefully and confirm the requirement is stated as mandatory before your employer files the LCA.
How does the E-3 compare to the H-1B for Data Science Engineer roles?
The E-3 has no annual lottery, so you can apply any time of year and start as soon as your visa is issued. The H-1B cap is 85,000 registrations per year with a competitive lottery, meaning selection is not guaranteed. For Australian nationals in data science, the E-3 is a faster and more predictable path to U.S. employment, with the same two-year renewable status.
Can I change employers or projects after starting on an E-3?
You can change employers, but your new company must file a new LCA and you'll need to attend a fresh consular appointment or apply for a change of status before starting work with them. Your E-3 is tied to the specific employer named on the LCA, not to a job category, so any employer change restarts the documentation process from the LCA stage.