TN Visa Senior Data Science Engineer Jobs
Senior Data Science Engineer roles qualify for TN visa sponsorship under the USMCA's Systems Analyst category, which covers advanced data modeling, machine learning pipeline design, and statistical analysis work. Canadian citizens can secure TN status at the border or airport with no lottery. Mexican nationals apply through a U.S. consulate with a limited annual allocation.
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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 TN Visa Sponsorship as a Senior Data Science Engineer
Align your credentials to Systems Analyst
TN visa classification for data science work falls under the Systems Analyst category. Your degree must be in computer science, mathematics, statistics, or a directly related field. A general business or management degree won't satisfy CBP's specialty requirement for this role.
Document your machine learning scope explicitly
CBP officers scrutinize vague job titles. Your support letter must name specific duties like building predictive models, designing ML pipelines, or conducting statistical inference, not just 'data analysis.' Ambiguous scope is the most common reason TN requests get deferred at the port of entry.
Target employers experienced with visa sponsorship
Focus your search on companies with recent visa filings for systems analyst or data science roles. Employers experienced with visa sponsorship generally understand work visa processes and tend to move efficiently with hiring timelines, which can help accelerate your start date.
Use Migrate Mate to find verified TN sponsors
Search Migrate Mate to identify Senior Data Science Engineer roles at companies with recent visa filings and experience sponsoring work visas. The platform filters by employer sponsorship activity so you spend time on employers already equipped to handle visa processes, not educating hiring managers about TN visa requirements.
Clarify Canadian versus Mexican timelines upfront
Canadian citizens can activate TN status same-day at a land border or preclearance airport, making start dates highly flexible. Mexican nationals need a consular appointment, which adds weeks to onboarding. Flag your nationality early so hiring managers set realistic start-date expectations.
Get the employer support letter right before filing
The employer's TN support letter must state the proffered position, your specific duties, your qualifications, the business purpose, and the intended employment period. Missing any element forces a resubmission. Review CBP's TN documentation checklist before your employer finalizes the letter.
Senior Data Science Engineer TN Visa: Frequently Asked Questions
Does a Senior Data Science Engineer role qualify for TN visa status?
Yes, Senior Data Science Engineer roles qualify under the TN visa's Systems Analyst category when the position centers on designing data systems, building machine learning models, or performing advanced statistical analysis. The key is that your job duties and your degree must align with systems analysis or a closely related quantitative discipline. A role focused primarily on business reporting or dashboard maintenance is harder to support under this category.
How does TN visa sponsorship compare to H-1B for this role?
TN has no lottery, no annual cap for Canadians, and no multi-month USCIS processing wait. A Canadian data science professional can walk into a port of entry and receive TN status the same day, while H-1B visa requires registration in April, a lottery selection, and USCIS adjudication that can stretch past October. The tradeoff is that TN status requires employer-tied renewal and does not directly support a green card path.
What documents does my employer need to provide for TN sponsorship?
Your employer must prepare a signed support letter on company letterhead that identifies your job title, describes your specific duties as a systems analyst, confirms your start date and employment period, and states that the role requires your professional credentials. You bring this letter along with your degree transcripts or credential evaluation and your passport to the port of entry. No USCIS petition is required for Canadian citizens.
How can I find Senior Data Science Engineer jobs with TN visa sponsorship?
Migrate Mate is built specifically for this search. You can filter by visa type to surface Senior Data Science Engineer roles at employers who have actively sponsored TN visas before, so you avoid spending time on applications at companies unfamiliar with the process. Generic job boards don't filter by sponsorship history, which means most listings you find there won't distinguish between employers who sponsor and those who don't.
Can Mexican nationals apply for TN status for data science roles the same way Canadians can?
No. Mexican nationals cannot self-petition at a port of entry. You must apply at a U.S. consulate in Mexico, which requires scheduling a visa interview and submitting your employer's support letter and credentials in advance. The annual TN allocation for Mexican nationals is capped, and consular appointment availability varies by location and time of year, so build additional lead time into your job search timeline.