TN Visa Associate Director Clinical Data Management Jobs
Associate Director Clinical Data Management roles qualify for TN visa sponsorship under the Scientific Technician/Technologist or Computer Systems Analyst categories, depending on your exact scope. Canadian professionals enter at the port of entry; Mexican nationals apply at a U.S. consulate. A qualifying degree and a detailed employer offer letter documenting your clinical data governance responsibilities are required.
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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.
See all 157+ TN Visa Associate Director Clinical Data Management Jobs
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Get Access To All JobsTips for Finding TN Visa Sponsorship in Associate Director Clinical Data Management
Align your credentials to TN categories
Associate Director CDM roles can qualify under multiple TN visa categories depending on duties. Map your degree and job description to the correct USMCA category before applying, since a mismatch at the port of entry or consulate creates immediate problems.
Request a duty-specific offer letter
A generic offer letter gets TN applications denied. Ask your employer to document your clinical data governance responsibilities, the regulatory frameworks you oversee, and your direct team management scope. CBP officers review this detail closely for senior clinical roles.
Target sponsors with active clinical trial pipelines
Pharma companies, CROs, and medical device manufacturers with ongoing Phase II and Phase III trials need experienced CDM leadership and are positioned to sponsor TN visas. Focus your search on organizations where the role is operationally critical, not newly created.
Use Migrate Mate to find verified TN sponsors
Search Migrate Mate to identify employers actively sponsoring TN visas for clinical data roles. Filtering by sponsorship history saves you from pursuing companies that have never navigated TN filings for senior clinical positions.
Prepare for Mexican consulate appointment timelines
Mexican nationals apply for TN status at a U.S. consulate, which adds scheduling lead time that Canadians don't face. Plan for consular appointment availability in your region and build that window into your offer negotiation and start date.
Clarify supervisory scope before your employer files
At the Associate Director level, your oversight of data managers, database programmers, and clinical data standards teams must be reflected in the TN support documentation. Ambiguity about whether your role is individual contributor or supervisory can stall approval.
Associate Director Clinical Data Management TN Visa: Frequently Asked Questions
Does an Associate Director Clinical Data Management role qualify for a TN visa?
Yes, but the qualifying TN category depends on your specific duties and degree. Roles focused on computer systems and data architecture may qualify under Computer Systems Analyst. Roles centered on scientific data review within clinical trials may qualify under Scientific Technician/Technologist. Your offer letter must clearly describe your responsibilities so the CBP officer or consular officer can confirm the match.
How does TN visa sponsorship for this role compare to H-1B?
TN has no annual lottery and no cap for Canadian citizens, so you can start as soon as an employer extends an offer and documentation is ready. H-1B visa requires entering a random lottery with a roughly 25% selection rate and waiting up to a year before work authorization begins. For Canadian CDM professionals, TN is a direct, faster path. Mexican nationals face a TN allocation limit but still avoid the H-1B lottery process.
What documents does the sponsoring employer need to prepare for a TN application?
Your employer must provide a detailed offer letter on company letterhead that describes your job title, your clinical data management responsibilities, the professional TN category being claimed, your anticipated duration of employment, and confirmation that you hold the qualifying degree. For Associate Director roles, the letter should also reference your supervisory scope and the regulatory environment you work within, such as ICH E6 or FDA 21 CFR Part 11.
Can I search for Associate Director Clinical Data Management jobs with TN sponsorship in one place?
Migrate Mate is built specifically for Canadian and Mexican professionals seeking U.S. roles with visa sponsorship. You can filter for TN-eligible positions in clinical data management without sorting through employers who have no experience with USMCA work authorization. That narrows your list to companies already equipped to support your application.
How long does TN status last for this role, and can it be renewed?
TN status is granted for up to three years per admission. It can be renewed indefinitely as long as you maintain a qualifying job offer and continue to meet the TN category requirements. Canadian professionals renew at a port of entry; Mexican nationals renew through a U.S. consulate. There is no limit on the number of renewals, making TN a viable long-term work authorization path for senior clinical roles.