Education F-1 STEM OPT Sponsorship Jobs in Michigan
F-1 STEM OPT sponsorship jobs in Michigan's education sector are concentrated at research universities like the University of Michigan and Michigan State University, ed-tech employers, and K-12 curriculum technology providers across Ann Arbor, East Lansing, and Detroit. Roles in data analysis, instructional technology, and learning platform development commonly qualify under STEM OPT's 24-month extension.
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Get Access To All JobsHow to Apply
A cover letter is required for consideration for this position and should be attached as the first page of your resume. The cover letter should address your specific interest in the position and outline skills and experience that directly relate to this position.
Who We Are
Consulting for Statistics, Computing, and Analytics Research (CSCAR @ ISR) is a service unit within the University of Michigan's Institute for Social Research, with service spokes located in the Statistics Department within LSA and the Department of Biostatistics within the School of Public Health. CSCAR @ ISR supports U-M researchers in their work involving research design, data analysis, and research dissemination. CSCAR @ ISR consultants work directly with investigators, including faculty, students, and staff, who are engaged in all areas of research conducted at the University of Michigan. CSCAR @ ISR seeks a Statistical and Data Science Consultant to serve as a member of its core staff within the Department of Biostatistics at the School of Public Health. The individual will collaborate closely with U-M researchers on challenging and innovative research questions, with a particular focus on public health, biomedical research, bioinformatics, and working with other health-related data.
Job Summary
The ideal candidate will be an excellent communicator with advanced statistical training and computing expertise, holding a graduate degree in Statistics, Biostatistics, Data Science, Survey Methodology, or Applied Mathematics. CSCAR @ ISR consultants frequently encounter analytic challenges that require non-standard methods or the development of new statistical methods. Thus, a solid grounding in advanced statistical theory and evidence of creative statistical insight are essential. The work may require innovative analysis and computation involving data that exhibit complex and unconventional structures. Thus, a consultant should have facility with a variety of computational tools, including fluent data programming skills and an understanding of numerical algorithms used in data modeling and analysis. CSCAR @ ISR consultants must be capable of managing multiple projects and responsibilities simultaneously, and should be able to set and meet goals with minimal supervision.
Responsibilities
- Collaborate closely with University of Michigan (U-M) researchers, including provision of analysis on externally or internally funded research projects.
- Hold one-on-one consulting appointments with U-M researchers.
- Serve as an instructor for workshops in a classroom setting, and develop workshop materials.
- Respond to questions sent to CSCAR @ ISR via email.
- Conduct statistical analyses for CSCAR @ ISR clients.
- Participate in regular CSCAR @ ISR team meetings.
- Mentor and supervise graduate students working at CSCAR @ ISR.
Required Qualifications
- A graduate degree in Statistics, Biostatistics, Data Science, Survey Methodology, or Mathematics.
- Training and demonstrated experience in public health research, biomedical research, bioinformatics, and working with health-related data (including genetic data and biosocial databases).
- A solid foundation in the theory of statistical data analysis.
- Teaching and consulting experience at the university level.
- Excellent computing skills, including facility with two or more computing environments commonly used for data analysis (e.g. SAS, SPSS, R, Julia, Stata, Matlab), programming experience in one or more common programming languages (e.g. C or Python), and facility with advanced computing environments, including clusters and distributed data and computing infrastructure.
- Excellent interpersonal skills and the ability to communicate advanced technical concepts clearly and effectively via oral presentations and peer-reviewed manuscripts.
- Strong background and interest in research design, and an interest in the broader goals of research in diverse fields.
- A positive attitude toward continuously learning new skills.
- A positive attitude toward helping researchers meet their goals.
Why Work at Michigan?
Benefits at the University of Michigan
In addition to a career filled with purpose and opportunity, The University of Michigan offers a comprehensive benefits package to help you stay well, protect yourself and any eligible family members, and plan for a secure future. Benefits include:
- Generous time off
- A retirement plan that provides two-for-one matching contributions with immediate vesting upon meeting eligibility requirements
- Many choices for comprehensive health insurance
- Life insurance
- Long-term disability coverage
- Flexible spending accounts for healthcare and dependent care expenses
Learn more about U-M benefits.
Modes of Work
Positions that are eligible for hybrid or mobile/remote work mode are at the discretion of the hiring department. Work agreements are reviewed annually at a minimum and are subject to change at any time, and for any reason, throughout the course of employment. Learn more about the work modes.
Work Locations
This position will be fully onsite at the University of Michigan offices in Ann Arbor, embedded within the School of Public Health's Department of Biostatistics, Monday - Friday.
Additional Information
The statements included in this description are intended to reflect the general nature and level of work assigned to this classification and should not be interpreted as all-inclusive.
The Institute for Social Research (ISR) at the University of Michigan seeks to create a community of respect and authentic collaboration by recruiting and retaining individuals that represent a variety of voices as a reflection of our commitment to serve the people of Michigan, to maintain the excellence of the university, and to ground our research in varied disciplines, perspectives, and ways of knowing and learning.
Background Screening
The University of Michigan conducts background checks on all job candidates upon acceptance of a contingent offer and may use a third-party administrator to conduct background checks. Background checks are performed in compliance with the Fair Credit Reporting Act.
Application Deadline
Applications are reviewed on a rolling basis until the position is filled. Institute for Social Research job openings are posted for a minimum of fourteen (14) calendar days. Candidates will be evaluated based on qualifications and interest areas.
U-M EEO Statement
The University of Michigan is an equal employment opportunity employer.
Job Opening ID
276832
Working Title
Statistical and Data Science Consultant - Biostatistics
Job Title
Statistician Senior
Work Location
Ann Arbor Campus
Ann Arbor, MI
Modes of Work
Onsite
Full/Part Time
Full-Time
Regular/Temporary
Regular
FLSA Status
Exempt
Organizational Group
Inst Soc Research
Department
CSCAR-Biostatistics
Posting Begin/End Date
5/04/2026 - 5/18/2026
Salary
$70,000.00 - $95,000.00
Career Interest
Research
How to Apply
A cover letter is required for consideration for this position and should be attached as the first page of your resume. The cover letter should address your specific interest in the position and outline skills and experience that directly relate to this position.
Who We Are
Consulting for Statistics, Computing, and Analytics Research (CSCAR @ ISR) is a service unit within the University of Michigan's Institute for Social Research, with service spokes located in the Statistics Department within LSA and the Department of Biostatistics within the School of Public Health. CSCAR @ ISR supports U-M researchers in their work involving research design, data analysis, and research dissemination. CSCAR @ ISR consultants work directly with investigators, including faculty, students, and staff, who are engaged in all areas of research conducted at the University of Michigan. CSCAR @ ISR seeks a Statistical and Data Science Consultant to serve as a member of its core staff within the Department of Biostatistics at the School of Public Health. The individual will collaborate closely with U-M researchers on challenging and innovative research questions, with a particular focus on public health, biomedical research, bioinformatics, and working with other health-related data.
Job Summary
The ideal candidate will be an excellent communicator with advanced statistical training and computing expertise, holding a graduate degree in Statistics, Biostatistics, Data Science, Survey Methodology, or Applied Mathematics. CSCAR @ ISR consultants frequently encounter analytic challenges that require non-standard methods or the development of new statistical methods. Thus, a solid grounding in advanced statistical theory and evidence of creative statistical insight are essential. The work may require innovative analysis and computation involving data that exhibit complex and unconventional structures. Thus, a consultant should have facility with a variety of computational tools, including fluent data programming skills and an understanding of numerical algorithms used in data modeling and analysis. CSCAR @ ISR consultants must be capable of managing multiple projects and responsibilities simultaneously, and should be able to set and meet goals with minimal supervision.
Responsibilities
- Collaborate closely with University of Michigan (U-M) researchers, including provision of analysis on externally or internally funded research projects.
- Hold one-on-one consulting appointments with U-M researchers.
- Serve as an instructor for workshops in a classroom setting, and develop workshop materials.
- Respond to questions sent to CSCAR @ ISR via email.
- Conduct statistical analyses for CSCAR @ ISR clients.
- Participate in regular CSCAR @ ISR team meetings.
- Mentor and supervise graduate students working at CSCAR @ ISR.
Required Qualifications
- A graduate degree in Statistics, Biostatistics, Data Science, Survey Methodology, or Mathematics.
- Training and demonstrated experience in public health research, biomedical research, bioinformatics, and working with health-related data (including genetic data and biosocial databases).
- A solid foundation in the theory of statistical data analysis.
- Teaching and consulting experience at the university level.
- Excellent computing skills, including facility with two or more computing environments commonly used for data analysis (e.g. SAS, SPSS, R, Julia, Stata, Matlab), programming experience in one or more common programming languages (e.g. C or Python), and facility with advanced computing environments, including clusters and distributed data and computing infrastructure.
- Excellent interpersonal skills and the ability to communicate advanced technical concepts clearly and effectively via oral presentations and peer-reviewed manuscripts.
- Strong background and interest in research design, and an interest in the broader goals of research in diverse fields.
- A positive attitude toward continuously learning new skills.
- A positive attitude toward helping researchers meet their goals.
Why Work at Michigan?
Benefits at the University of Michigan
In addition to a career filled with purpose and opportunity, The University of Michigan offers a comprehensive benefits package to help you stay well, protect yourself and any eligible family members, and plan for a secure future. Benefits include:
- Generous time off
- A retirement plan that provides two-for-one matching contributions with immediate vesting upon meeting eligibility requirements
- Many choices for comprehensive health insurance
- Life insurance
- Long-term disability coverage
- Flexible spending accounts for healthcare and dependent care expenses
Learn more about U-M benefits.
Modes of Work
Positions that are eligible for hybrid or mobile/remote work mode are at the discretion of the hiring department. Work agreements are reviewed annually at a minimum and are subject to change at any time, and for any reason, throughout the course of employment. Learn more about the work modes.
Work Locations
This position will be fully onsite at the University of Michigan offices in Ann Arbor, embedded within the School of Public Health's Department of Biostatistics, Monday - Friday.
Additional Information
The statements included in this description are intended to reflect the general nature and level of work assigned to this classification and should not be interpreted as all-inclusive.
The Institute for Social Research (ISR) at the University of Michigan seeks to create a community of respect and authentic collaboration by recruiting and retaining individuals that represent a variety of voices as a reflection of our commitment to serve the people of Michigan, to maintain the excellence of the university, and to ground our research in varied disciplines, perspectives, and ways of knowing and learning.
Background Screening
The University of Michigan conducts background checks on all job candidates upon acceptance of a contingent offer and may use a third-party administrator to conduct background checks. Background checks are performed in compliance with the Fair Credit Reporting Act.
Application Deadline
Applications are reviewed on a rolling basis until the position is filled. Institute for Social Research job openings are posted for a minimum of fourteen (14) calendar days. Candidates will be evaluated based on qualifications and interest areas.
U-M EEO Statement
The University of Michigan is an equal employment opportunity employer.
Job Opening ID
276832
Working Title
Statistical and Data Science Consultant - Biostatistics
Job Title
Statistician Senior
Work Location
Ann Arbor Campus
Ann Arbor, MI
Modes of Work
Onsite
Full/Part Time
Full-Time
Regular/Temporary
Regular
FLSA Status
Exempt
Organizational Group
Inst Soc Research
Department
CSCAR-Biostatistics
Posting Begin/End Date
5/04/2026 - 5/18/2026
Salary
$70,000.00 - $95,000.00
Career Interest
Research
Education Job Roles in Michigan
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Search Education Jobs in MichiganEducation Jobs in Michigan: Frequently Asked Questions
Which education companies sponsor F-1 STEM OPT visas in Michigan?
In Michigan, education-sector F-1 STEM OPT sponsorship is most common at large research universities such as the University of Michigan, Michigan State University, and Wayne State University, which regularly file Labor Condition Applications for STEM-designated roles. Ed-tech companies and curriculum technology providers headquartered in the Ann Arbor and Detroit metro areas also appear in DOL disclosure data as active sponsors for qualifying technical positions.
Which cities in Michigan have the most education F-1 STEM OPT sponsorship jobs?
Ann Arbor and East Lansing generate the highest concentration of education F-1 STEM OPT opportunities in Michigan, driven by the University of Michigan and Michigan State University campuses. Detroit is a growing secondary market, particularly for ed-tech firms and workforce development organizations. Grand Rapids has a smaller but emerging presence, with a number of higher-education institutions and educational nonprofits that post STEM-eligible roles in data and instructional technology.
What types of education roles typically qualify for F-1 STEM OPT sponsorship?
Roles must carry a Standard Occupational Classification code that appears on the official STEM OPT designated-degree list published by DHS. In the education industry, positions commonly qualifying include data analyst, learning systems engineer, instructional technology specialist, educational software developer, and institutional research analyst. Purely administrative or general teaching roles typically do not qualify unless the position explicitly requires and applies a STEM degree in the core duties.
How do I find education F-1 STEM OPT sponsorship jobs in Michigan?
Migrate Mate is built specifically for this search: it filters Michigan education employers by verified F-1 STEM OPT sponsorship history using DOL Labor Condition Application data, so you can see which institutions and ed-tech companies have actively sponsored STEM OPT workers in roles matching your field. Filtering by the Education category and Michigan location on Migrate Mate surfaces current openings at universities, curriculum platforms, and learning technology firms that have a documented sponsorship track record.
Are there state-specific considerations for F-1 STEM OPT sponsorship in Michigan's education sector?
Michigan employers sponsoring F-1 STEM OPT workers must enroll in E-Verify, a federal requirement for all STEM OPT extensions regardless of state. Michigan's large public university system means many sponsoring employers are government entities subject to additional HR compliance layers, which can extend onboarding timelines. International student offices at Michigan institutions are generally experienced with STEM OPT paperwork, but the formal sponsorship agreement and E-Verify enrollment obligation rests with the employing department, not the international office.