E-3 Visa Data Science Analyst Jobs
Data Science Analyst roles qualify for E-3 visa sponsorship as specialty occupations requiring a bachelor's degree in statistics, mathematics, computer science, or a related field. Australian nationals can secure two-year renewable E-3 status with no lottery and no annual cap, making this one of the most direct paths to U.S. data roles.
Find E-3 Visa Data Science Analyst JobsOverview
Showing 5 of 94+ Data Science Analyst jobs
See all 94+ Data Science Analyst Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Science Analyst roles.
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 Analyst Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new E-3 Visa Data Science Analyst Jobs.
Get Access To All JobsTips for Finding E-3 Visa Sponsorship as a Data Science Analyst
Translate your Australian degree for U.S. employers
A three-year Australian bachelor's in data science, statistics, or mathematics meets the E-3 visa specialty occupation requirement. Prepare a credential evaluation letter from a NACES-recognised evaluator so hiring managers and the DOL can confirm equivalency without delays.
Target employers with active LCA filing history
Search the DOL's Office of Foreign Labor Certification disclosure data for companies that have filed LCAs for data analyst or data science roles. Employers with recent filings already understand the process, cutting weeks off your sponsorship timeline.
Clarify the specialty occupation case for analyst roles
Some employers misclassify data analyst positions as general business roles that any degree covers. Before accepting an offer, confirm the job description explicitly requires a degree in a quantitative field, not just any bachelor's degree, which is what USCIS checks.
Use Migrate Mate's E-3 filing service for your LCA and paperwork
Once you have an offer, use Migrate Mate's E-3 filing service to handle the LCA submission with the DOL and prepare your consulate documents. Getting the prevailing wage level and job duties right on the LCA avoids the most common reason E-3 applications stall.
Time your consulate appointment around your start date
Australian E-3 consulate appointments in Sydney, Melbourne, or Perth typically process within a few weeks, but leave at least three to four weeks between your offer acceptance and your proposed start date so your employer can certify the LCA before you schedule.
Address dual intent early in salary negotiations
E-3 is a nonimmigrant visa, so consular officers assess whether you intend to return to Australia. If you're also exploring a long-term U.S. career, discuss green card sponsorship separately from your E-3 offer to avoid complicating your initial application.
E-3 Visa Data Science Analyst: Frequently Asked Questions
How do I find Data Science Analyst jobs with E-3 visa sponsorship?
Use Migrate Mate to search Data Science Analyst roles filtered specifically for E-3 visa sponsorship. Most general job boards don't filter by visa type, so you end up contacting employers who won't sponsor at all. Migrate Mate surfaces roles where sponsorship is already confirmed, saving you the back-and-forth of asking hiring managers whether they've heard of the E-3.
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 Analyst role qualify as a specialty occupation for E-3 purposes?
Yes, provided the position genuinely requires a bachelor's degree or higher in a specific quantitative field such as statistics, data science, mathematics, or computer science. The role must not be one where any bachelor's degree, regardless of field, would satisfy the requirement. Employers should reflect this clearly in the job description and the LCA filed with the DOL.
How does the E-3 visa compare to H-1B for Data Science Analyst roles?
For Australian nationals, the E-3 is strictly preferable to H-1B visa for data science roles. There's no annual cap, no lottery, and no waiting period. H-1B has an 85,000-slot annual cap with a lottery that selected around 25% of registrants in recent fiscal years. An E-3 applicant with a qualifying offer can have a visa within weeks rather than waiting for a lottery result.
What happens to my E-3 status if my data analyst role changes significantly after I start?
Material changes to your job duties, employer, or work location can require a new LCA and, depending on the change, a new visa application. If your role shifts from individual contributor analyst work to a senior or managerial function with different duties, your employer should file an amended LCA with the DOL before the change takes effect to keep your status valid.