TN Visa Clinical Data Management Jobs
Clinical Data Management professionals from Canada and Mexico can qualify for TN visa sponsorship under the USMCA as Computer Systems Analysts or Scientists, depending on role scope. Your degree field must align directly with the position. Canadian citizens qualify without a cap; Mexican nationals face a separate allocation process.
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Get Access To All JobsINTRODUCTION
The Connolly Alexander Institute for Data Science (CAIDS) at Tulane University seeks a Professor of Practice in Data to teach introductory and multi-disciplinary courses in data literacy, data visualization, presentation, management, and/or analysis. CAIDS promotes, teaches, and supports data literacy and data science for students, faculty, and the broader community through courses, workshops, events, student internship, seed grants, statistical consulting, and supporting interdisciplinary research groups.
This is a full-time, non-tenure-track position eligible for promotion to Senior Professor of Practice. The initial appointment is renewed every three years and later up to five or seven years. Renewal is based on an evaluation of teaching, service, and research. Professors of Practice are eligible to be considered for promotion to Senior Professor of Practice after at least three years.
Required Application Materials
Interested candidates should submit the following materials:
- Cover Letter
- Curriculum Vitae (CV)
- Teaching statement/philosophy (upload to the Miscellaneous Document section)
The cover letter and/or teaching statement should address the candidate’s interest and experience in teaching introductory and intermediate courses on data literacy, data analysis, or data management to a diverse student body, especially students with minimal background in data, statistics, or computer science. Additional documents may be requested at a later date.
REQUIRED EDUCATION AND EXPERIENCE
- A Ph.D. in a data-related field* and teaching experience as an instructor or teaching experience in a data-focused course; OR
- A Master’s degree in a data-related field,* with at least five (5) years of combined experience teaching in post-secondary or secondary education and/or working in industry or government in a data literacy, data analysis, or data management position.
- Data-related fields include, but are not limited to, statistics (preferably applied), quantitative social sciences (e.g., economics, sociology, political science, psychology, public or business administration), humanities with a data focus, public health, education with a data focus, and numerous STEM fields such as Engineering, Computer Science, Natural Sciences, etc. Applicants with a background in qualitative research methodology will also be considered if they are able to teach basic quantitative methods in addition to qualitative methods.
REQUIRED KNOWLEDGE, SKILLS, ABILITIES/COMPETENCIES TYPICALLY NEEDED TO PERFORM THIS JOB SUCCESSFULLY
- Demonstrated ability to teach in post-secondary institutions, particularly to students with minimal background in data, statistics, or computer science.
- Ability to initiate and manage programming and initiatives with minimal supervision.
- Ability to teach Introduction to Data and Data Visualization.
- Ability to develop practical and creative post-secondary education programming and services that promote faculty and student engagement in data-related research.
- Experience developing data visualizations, including graphs, charts, and interactive tools such as dashboards, using applications such as Excel, PowerBI, Flourish, Tableau, or R.
- Commitment to continuous improvement in pedagogy and data science.
- Demonstrated commitment to engaging diverse populations in data literacy.
- Demonstrated ability to interact well with diverse groups of people, including students from varied backgrounds, university leadership, staff, and faculty from different disciplines.
- Excellent written and oral communication skills.
PREFERRED QUALIFICATIONS
- Experience teaching data-focused post-secondary course(s) as the instructor of record.
- Training or education in teaching or pedagogy.
- Experience developing or managing post-secondary programming such as workshops, internships, events, and research services.
- Ability to provide data, statistical, computer science, or applied AI consulting services to faculty.
- Ability to develop industry or community relationships that lead to service-learning opportunities, student internships, community partnerships, or external grant proposals.
- Ability to engage with students in data storytelling methods through data visualization.
- Willingness to cover and engage with data visualization theories and methods using both scientific and creative techniques.
- Ability and desire to learn and teach multiple data visualization theories or methodologies across multiple fields including arts, humanities, social sciences, liberal arts, public health, and STEM.
TEACHING
This position has a 2/2 teaching load (two courses per semester) to accommodate service work. The Professor of Practice will be expected to teach:
- DATA 1010: Introduction to Data, a course that introduces students to fundamental skills in data literacy, analysis, communication, and ethics.
- DATA 2030: Data Visualization, a course surveying creative and analytical theories and techniques for understanding and developing data visualizations, including graphs, charts, maps and interactive tools such as dashboards.
At least one multi-disciplinary undergraduate course in their area of interest or expertise. We are particularly interested in candidates who can add new courses to our existing curriculum including, but not limited to, analysis of image, audio, and other non-standard data types; survey and polling design and analysis; biostatistics, bioinformatics, or analysis of clinical trial/experimental data, and courses that could fit into the AI Literacy Minor. All CAIDS courses draw from multi-disciplinary perspectives and are open to students of all backgrounds and abilities, usually without a prerequisite.
SERVICE
In addition to teaching, the Professor of Practice will develop and facilitate CAIDS programs and services that increase faculty and student participation in data-related research while upholding CAIDS’s mission of being inclusive to all data fields. Based on the candidate’s expertise, possible service roles may include:
- developing and coordinating internal and external internship and research-assistant programs;
- facilitating collaborative grant applications;
- providing statistical, data, or applied-AI consulting services;
- coordinating research-related programming such as seminars, workshops, data-thons, and poster sessions; and
- supporting interdisciplinary research groups in the Professor of Practice’s areas of expertise or interest.
This position will also support data visualization co-curricular activities. Responsibilities include working closely with librarians at Howard-Tilton Memorial Library to plan the Love Data Week Data Visualization and Physicalization competitions and exhibits, promoting and coordinating student participation in Tulane poster sessions, developing and facilitating occasional data visualization workshops, and undertaking related service activities.
The Professor of Practice will contribute to shaping CAIDS’s priorities and future direction, serving as an active partner in managing the institute’s programs and initiatives.
RESEARCH
Conducting research is not a requirement, but data-related research or scholarship on data science teaching and learning can be incorporated into the workload.
Tulane University is an equal opportunity educator and employer committed to providing an education and employment environment free of unlawful discrimination, harassment, and retaliation. Legally protected demographic classifications (such as a person’s race, color, religion, age, sex, national origin, shared ancestry, disability, genetics, veteran status, or any other characteristic protected by federal, state, or local laws) are not relied upon as an eligibility, selection or participation criteria for Tulane’s employment or educational programs or activities.
Tulane University is responsible for providing reasonable accommodations to individuals with disabilities throughout the applicant screening process. If you need assistance in completing an application or during any phase of the interview process, please contact the Office of Human Resources by phone at 504-865-4748 or by email at hr@tulane.edu.
INTRODUCTION
The Connolly Alexander Institute for Data Science (CAIDS) at Tulane University seeks a Professor of Practice in Data to teach introductory and multi-disciplinary courses in data literacy, data visualization, presentation, management, and/or analysis. CAIDS promotes, teaches, and supports data literacy and data science for students, faculty, and the broader community through courses, workshops, events, student internship, seed grants, statistical consulting, and supporting interdisciplinary research groups.
This is a full-time, non-tenure-track position eligible for promotion to Senior Professor of Practice. The initial appointment is renewed every three years and later up to five or seven years. Renewal is based on an evaluation of teaching, service, and research. Professors of Practice are eligible to be considered for promotion to Senior Professor of Practice after at least three years.
Required Application Materials
Interested candidates should submit the following materials:
- Cover Letter
- Curriculum Vitae (CV)
- Teaching statement/philosophy (upload to the Miscellaneous Document section)
The cover letter and/or teaching statement should address the candidate’s interest and experience in teaching introductory and intermediate courses on data literacy, data analysis, or data management to a diverse student body, especially students with minimal background in data, statistics, or computer science. Additional documents may be requested at a later date.
REQUIRED EDUCATION AND EXPERIENCE
- A Ph.D. in a data-related field* and teaching experience as an instructor or teaching experience in a data-focused course; OR
- A Master’s degree in a data-related field,* with at least five (5) years of combined experience teaching in post-secondary or secondary education and/or working in industry or government in a data literacy, data analysis, or data management position.
- Data-related fields include, but are not limited to, statistics (preferably applied), quantitative social sciences (e.g., economics, sociology, political science, psychology, public or business administration), humanities with a data focus, public health, education with a data focus, and numerous STEM fields such as Engineering, Computer Science, Natural Sciences, etc. Applicants with a background in qualitative research methodology will also be considered if they are able to teach basic quantitative methods in addition to qualitative methods.
REQUIRED KNOWLEDGE, SKILLS, ABILITIES/COMPETENCIES TYPICALLY NEEDED TO PERFORM THIS JOB SUCCESSFULLY
- Demonstrated ability to teach in post-secondary institutions, particularly to students with minimal background in data, statistics, or computer science.
- Ability to initiate and manage programming and initiatives with minimal supervision.
- Ability to teach Introduction to Data and Data Visualization.
- Ability to develop practical and creative post-secondary education programming and services that promote faculty and student engagement in data-related research.
- Experience developing data visualizations, including graphs, charts, and interactive tools such as dashboards, using applications such as Excel, PowerBI, Flourish, Tableau, or R.
- Commitment to continuous improvement in pedagogy and data science.
- Demonstrated commitment to engaging diverse populations in data literacy.
- Demonstrated ability to interact well with diverse groups of people, including students from varied backgrounds, university leadership, staff, and faculty from different disciplines.
- Excellent written and oral communication skills.
PREFERRED QUALIFICATIONS
- Experience teaching data-focused post-secondary course(s) as the instructor of record.
- Training or education in teaching or pedagogy.
- Experience developing or managing post-secondary programming such as workshops, internships, events, and research services.
- Ability to provide data, statistical, computer science, or applied AI consulting services to faculty.
- Ability to develop industry or community relationships that lead to service-learning opportunities, student internships, community partnerships, or external grant proposals.
- Ability to engage with students in data storytelling methods through data visualization.
- Willingness to cover and engage with data visualization theories and methods using both scientific and creative techniques.
- Ability and desire to learn and teach multiple data visualization theories or methodologies across multiple fields including arts, humanities, social sciences, liberal arts, public health, and STEM.
TEACHING
This position has a 2/2 teaching load (two courses per semester) to accommodate service work. The Professor of Practice will be expected to teach:
- DATA 1010: Introduction to Data, a course that introduces students to fundamental skills in data literacy, analysis, communication, and ethics.
- DATA 2030: Data Visualization, a course surveying creative and analytical theories and techniques for understanding and developing data visualizations, including graphs, charts, maps and interactive tools such as dashboards.
At least one multi-disciplinary undergraduate course in their area of interest or expertise. We are particularly interested in candidates who can add new courses to our existing curriculum including, but not limited to, analysis of image, audio, and other non-standard data types; survey and polling design and analysis; biostatistics, bioinformatics, or analysis of clinical trial/experimental data, and courses that could fit into the AI Literacy Minor. All CAIDS courses draw from multi-disciplinary perspectives and are open to students of all backgrounds and abilities, usually without a prerequisite.
SERVICE
In addition to teaching, the Professor of Practice will develop and facilitate CAIDS programs and services that increase faculty and student participation in data-related research while upholding CAIDS’s mission of being inclusive to all data fields. Based on the candidate’s expertise, possible service roles may include:
- developing and coordinating internal and external internship and research-assistant programs;
- facilitating collaborative grant applications;
- providing statistical, data, or applied-AI consulting services;
- coordinating research-related programming such as seminars, workshops, data-thons, and poster sessions; and
- supporting interdisciplinary research groups in the Professor of Practice’s areas of expertise or interest.
This position will also support data visualization co-curricular activities. Responsibilities include working closely with librarians at Howard-Tilton Memorial Library to plan the Love Data Week Data Visualization and Physicalization competitions and exhibits, promoting and coordinating student participation in Tulane poster sessions, developing and facilitating occasional data visualization workshops, and undertaking related service activities.
The Professor of Practice will contribute to shaping CAIDS’s priorities and future direction, serving as an active partner in managing the institute’s programs and initiatives.
RESEARCH
Conducting research is not a requirement, but data-related research or scholarship on data science teaching and learning can be incorporated into the workload.
Tulane University is an equal opportunity educator and employer committed to providing an education and employment environment free of unlawful discrimination, harassment, and retaliation. Legally protected demographic classifications (such as a person’s race, color, religion, age, sex, national origin, shared ancestry, disability, genetics, veteran status, or any other characteristic protected by federal, state, or local laws) are not relied upon as an eligibility, selection or participation criteria for Tulane’s employment or educational programs or activities.
Tulane University is responsible for providing reasonable accommodations to individuals with disabilities throughout the applicant screening process. If you need assistance in completing an application or during any phase of the interview process, please contact the Office of Human Resources by phone at 504-865-4748 or by email at hr@tulane.edu.
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Get Access To All JobsTips for Finding TN Visa Sponsorship in Clinical Data Management
Verify your degree supports the classification
TN visa approval for clinical data roles hinges on your degree aligning with the specific USMCA category your employer selects. A life sciences or computer science degree typically works; a general business degree often doesn't, even for data-heavy roles.
Target sponsors with active clinical trial pipelines
Pharma companies, CROs, and academic medical centers running active Phase II or III trials are the employers most likely to need and approve TN sponsorship for CDM roles. Filter your search by therapeutic area and trial phase volume.
Request a specialty occupation letter before accepting
Before signing an offer, ask the employer to draft a support letter confirming the role qualifies as a specialty occupation under USMCA. This document is your front-line defense at the border or consulate, not an afterthought.
Use Migrate Mate to find verified TN-sponsoring employers
Searching broadly wastes time on employers unfamiliar with visa sponsorship. Migrate Mate surfaces Clinical Data Management roles at employers with recent visa filings, so you're targeting companies already experienced with hiring sponsored workers.
Prepare CDISC credentials as supporting evidence
CDISC CDASH or SDTM certifications strengthen your application by demonstrating specialty-level expertise. CBP officers reviewing TN petitions respond well to credentials that distinguish your role from generalist data work.
Confirm your employer's visa sponsorship experience upfront
Your employer prepares a support letter outlining your role and qualifications, which you'll present at the U.S. port of entry (for Canadian citizens) or at a U.S. consulate (for Mexican citizens) to establish your TN status. Ask HR whether they've sponsored work visa candidates before and who manages their immigration compliance.
Clinical Data Management TN Visa: Frequently Asked Questions
Does Clinical Data Management qualify for TN visa status?
Yes, but the classification depends on how the role is framed. CDM positions typically qualify under the Computer Systems Analyst or Scientist category in the USMCA professional list. Your employer's support letter must describe duties that match the selected category, and your degree must correspond to that field, not just to data or healthcare broadly.
How does TN visa sponsorship compare to H-1B for Clinical Data Management roles?
TN is significantly more accessible for CDM professionals from Canada and Mexico. There's no lottery, no annual cap for Canadians, and approvals can happen at the border in a single day for Canadians. H-1B visa requires lottery selection, a March registration window, and an October 1 start date. TN status also renews indefinitely in three-year increments, with no maximum duration.
Can Mexican CDM professionals use the TN visa the same way Canadians can?
The USMCA occupational categories are identical, but the process differs. Canadian citizens can apply at a U.S. port of entry directly. Mexican nationals must apply at a U.S. consulate in Mexico and are subject to a separate numerical allocation. Processing timelines and documentation requirements are the same, but Mexican applicants should build consular appointment lead time into their plans.
Where can I find Clinical Data Management jobs with TN visa sponsorship?
Migrate Mate is built specifically for this search. It filters Clinical Data Management roles by employers with TN visa sponsorship history, so you're not guessing which companies will support your status. Searching general platforms surfaces many roles from employers who've never sponsored TN workers and won't know how to start.
What happens to my TN status if my CDM contract ends early?
Your TN status is tied to the specific employer and position listed in your petition. If your contract ends before the approved period expires, you lose TN status authorization. You can accept a new CDM role and apply for a new TN, but you should not work during the gap. Canadians can apply at the border same-day; Mexican nationals need a new consular appointment.