TN Visa Data Science Lead Jobs
Data Science Lead roles qualify for TN visa sponsorship under the USMCA's Computer Systems Analyst category when the position requires applying data science methodologies to analyze and interpret complex systems. Canadian citizens can enter at the port of entry; Mexican citizens require a consular appointment. A bachelor's degree in a quantitative field is the baseline credential.
Find TN Visa Data Science Lead JobsOverview
Showing 5 of 13+ Data Science Lead jobs
See all Data Science Lead Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Science Lead 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 TN Visa Data Science Lead Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new TN Visa Data Science Lead Jobs.
Get Access To All JobsTips for Finding TN Visa Sponsorship in Data Science Lead
Align your credentials to Computer Systems Analyst
TN visa classification for Data Science Lead roles typically falls under Computer Systems Analyst, not a standalone data science category. Your degree must be in computer science, mathematics, statistics, or a related quantitative field to support that classification at the border or consulate.
Request a precise TN support letter
The employer's support letter must describe your duties in terms that map to systems analysis, not just machine learning or modeling. Ask your hiring manager to include language about designing and implementing data systems, not only statistical output or business reporting.
Target employers with existing TN filing experience
Search for companies with recent visa filings in technology and analytics roles to identify employers experienced with work visa sponsorship. Employers already familiar with visa documentation requirements move faster and produce more accurate support letters for TN candidates.
Use Migrate Mate to filter TN-sponsoring employers
Filter your job search on Migrate Mate by TN visa sponsorship to surface Data Science Lead openings at employers already set up to sponsor. This saves time you'd otherwise spend screening roles that require H-1B visa or exclude visa holders entirely.
Clarify Canadian versus Mexican processing before accepting
Canadian citizens can present TN documentation directly at a U.S. port of entry with no prior USCIS filing. Mexican citizens must schedule a consulate appointment, which adds lead time. Confirm with your employer which timeline they're budgeting for before you accept an offer.
Document lead responsibilities separately from technical ones
Border officers and consular officers evaluate whether your role qualifies, not just your title. If your position includes managing junior data scientists or setting team methodology, ensure your support letter describes those systems-level responsibilities explicitly alongside your individual technical duties.
Data Science Lead TN Visa: Frequently Asked Questions
Does a Data Science Lead role qualify for TN visa sponsorship?
It can, but the classification depends on how the role is described. TN visa categories don't include a standalone data science designation. Most Data Science Lead positions qualify under the Computer Systems Analyst category, provided your duties involve analyzing and designing data systems and your degree is in a quantitative field like computer science, statistics, or mathematics.
How does TN visa sponsorship compare to H-1B for a Data Science Lead?
TN sponsorship for a Data Science Lead is faster and more predictable than H-1B. There's no lottery, no annual cap for Canadians, and no USCIS petition required if you're Canadian entering at the port of entry. H-1B requires a cap-subject lottery with roughly a one-in-four selection rate in recent years, plus a months-long processing window before you can start work.
What documents does my employer need to prepare for my TN application?
Your employer needs to provide a signed support letter that confirms the job offer, describes your specific duties using systems analyst language, states your qualifications, and identifies the TN category being claimed. You'll supply your degree transcripts and passport. Mexican nationals also need to book a consulate appointment through the U.S. Embassy scheduling system before presenting these documents.
How can I find Data Science Lead jobs that already offer TN visa sponsorship?
Migrate Mate lets you search specifically for Data Science Lead roles filtered by TN visa sponsorship, so you're not guessing whether an employer will support the process. Searching by sponsorship type upfront eliminates the friction of reaching late-stage interviews only to learn the company doesn't sponsor TN visas or only supports H-1B.
Can I switch employers while on a TN visa in a Data Science Lead role?
Yes, but you'll need a new TN authorization for each employer change. Canadian citizens can present new documentation at a port of entry. Mexican citizens must return to a consulate for a new visa stamp. There's no portability provision like H-1B's AC21, so you can't start with a new employer under the existing TN while a transfer is pending.