STEM OPT Senior Data Science Engineer Jobs
Senior Data Science Engineer roles qualify for STEM OPT when your degree falls under an eligible CIP code in computer science, statistics, or a related STEM field. Your employer must be enrolled in E-Verify, and the 24-month extension gives you up to 36 months total to build experience, clear H-1B visa cap-gap, and transition to long-term sponsorship.
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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.
Mission Statement
Michigan Medicine improves the health of patients, populations and communities through excellence in education, patient care, community service, research and technology development, and through leadership activities in Michigan, nationally and internationally. Our mission is guided by our Strategic Principles and has three critical components; patient care, education and research that together enhance our contribution to society.
Job Summary
Michigan Anesthesiology Informatics and Systems Improvement Exchange (MAISE) is part of the University of Michigan Department of Anesthesiology. We are a group made up collectively of IT, business, and healthcare professionals. Our goal is to leverage IT to its fullest to improve patient safety and create better health care outcomes.
In this position, you will work under the general direction of the MAISE AIG Manager. As a Data Architect Intermediate/Senior, you will design, develop, validate, deploy, and maintain data science and artificial intelligence (AI) solutions that address clinical, operational, and research needs within Michigan Medicine. You will work with electronic health record (EHR) systems, clinical data, relational databases, and other healthcare information sources to develop machine learning models, clinical natural language processing (NLP) applications, large language model (LLM) solutions, and automated data processing pipelines.
You will leverage relational database technologies, including SQL Server, Oracle, and/or PostgreSQL, to access, transform, integrate, and manage data for AI and data science applications. You will translate clinical and operational challenges into practical, data-driven solutions through data acquisition and preprocessing, exploratory data analysis, feature engineering, model development and evaluation, AI output validation, software development, system integration, and production monitoring. You will develop custom solutions that support the EHR ecosystem and its downstream stakeholders, including Finance, Billing, Quality Assurance (QA), and Research. These solutions may involve enhancing and maintaining existing in-house applications or scoping, designing, developing, and implementing new solutions from the ground up. You will collaborate with clinicians, researchers, analysts, software developers, and IT professionals to ensure that solutions are reliable, scalable, maintainable, and appropriate for their intended use.
This position offers opportunities to contribute to innovative projects involving clinical prediction, automated clinical documentation analysis, coding and billing support, quality improvement, patient safety, and research. You will also contribute to the ongoing validation and monitoring of AI solutions to help ensure their accuracy, reliability, performance, and suitability for their intended clinical and operational applications.
Responsibilities
- Defines project requirements, scope, and objectives with clinical, operational, research, and technical stakeholders.
- Acquires, cleans, integrates, and analyzes structured and unstructured healthcare data using SQL, relational databases, EHR systems, and other data sources.
- Designs scalable data structures, data integration patterns, and reusable data pipelines to support AI applications, data science workflows, and integration across healthcare information systems.
- Develops, trains, evaluates, and optimizes machine learning and statistical models for clinical, operational, and research applications.
- Develops clinical NLP and LLM applications for information extraction, clinical summarization, structured data generation, and workflow automation.
- Builds and maintains data pipelines, ETL processes, and automated workflows for model development, validation, deployment, and production operations.
- Integrates AI solutions with existing databases, applications, and healthcare information systems.
- Validates AI outputs and model performance in collaboration with clinicians, researchers, and subject matter experts to improve accuracy and reliability.
- Develops, tests, debugs, and maintains production software and resolves issues affecting performance, scalability, and reliability.
- Monitors model performance, data quality, and system reliability; identifies issues and implements improvements.
- Proposes novel solutions to issues that arise, evaluate the feasibility of the solution, adapt and refine the model as applicable.
- Develops reports and visualizations to communicate analytical results and support clinical, operational, and research needs.
- Optimizes algorithms and workflows to improve computational efficiency, performance, and scalability.
- Documents data processing, model development, evaluation, deployment, limitations, and maintenance procedures.
- Applies appropriate data privacy, security, governance, and responsible AI practices.
- Collaborates with internal teams and external partners on data integration, research, and technical projects.
- Contributes throughout the project lifecycle, from feasibility assessment and development to implementation, maintenance, and continuous improvement.
Required Qualifications
Senior
- Bachelor's degree in Computer Science or a related field, with at least five years of directly relevant professional experience, or Master's degree in Computer Science or a related field, with at least two years of directly relevant professional experience, for the senior level.
- At least three years of programming experience in Python, R, JavaScript, C++ or another appropriate language, with demonstrated skills in SQL and data management.
- Experience in data science, machine learning, statistical analysis, software development, or related fields.
- Experience with machine learning frameworks and algorithms, including traditional machine learning, deep learning, and generative AI.
- Experience with clinical NLP, large language models (LLMs), prompt engineering, information extraction, or automated clinical documentation analysis.
- Experience developing, testing, debugging, and documenting software, data pipelines, ETL workflows, APIs, or production applications.
- Knowledge of model validation, monitoring, interpretability, reproducibility, and maintenance.
- Strong analytical, problem-solving, organizational, written communication, and presentation skills.
- Ability to work independently and collaboratively with multidisciplinary teams, and to interact effectively with diverse internal and external stakeholders.
- Ability to manage competing priorities, adapt to changing requirements, and work effectively in a fast-paced environment.
- Willingness to learn healthcare systems, clinical workflows, and new technologies.
Intermediate
- Bachelor's degree in Computer Science or a related field, with at least three years of relevant professional experience, for the intermediate level.
Candidates with extensive relevant experience and qualifications are encouraged to apply and may be considered for appointment at the senior level.
Desired Qualifications
- Master's degree in Computer Science or a related field.
- Experience with Epic, including demonstrated proficiency or relevant certification.
- Experience with electronic health record (EHR) systems, clinical databases, healthcare data standards, or Epic.
- Health system experience or experience collaborating with clinicians, researchers, or healthcare administrators.
- Familiarity with Linux, Git, automated testing, continuous integration and continuous deployment (CI/CD), containers, and production deployment.
- Experience with data warehouses, cloud or on-premises infrastructure, or GPU computing.
- Knowledge of healthcare data privacy, information security, and responsible AI practices.
Why Join Michigan Medicine?
Michigan Medicine is one of the largest health care complexes in the world and has been the site of many groundbreaking medical and technological advancements since the opening of the U-M Medical School in 1850. Michigan Medicine is comprised of over 30,000 employees and our vision is to attract, inspire, and develop outstanding people in medicine, sciences, and healthcare to become one of the world’s most distinguished academic health systems. In some way, great or small, every person here helps to advance this world-class institution. Work at Michigan Medicine and become a victor for the greater good.
What Benefits can you Look Forward to?
- Excellent medical, dental and vision coverage effective on your very first day
- 2:1 Match on retirement savings
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.
Underfill Statement
This position may be underfilled at a lower classification depending on the qualifications of the selected candidate.
Background Screening
Michigan Medicine conducts background screening and pre-employment drug testing on job candidates upon acceptance of a contingent job offer and may use a third party administrator to conduct background screenings. Background screenings are performed in compliance with the Fair Credit Report Act. Pre-employment drug testing applies to all selected candidates, including new or additional faculty and staff appointments, as well as transfers from other U-M campuses.
Application Deadline
Job openings are posted for a minimum of seven calendar days. The review and selection process may begin as early as the eighth day after posting. This opening may be removed from posting boards and filled anytime after the minimum posting period has ended.
U-M EEO Statement
The University of Michigan is an Equal Opportunity Employer. We are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants, including protected veterans and individuals with disabilities.
Job Opening ID
285219
Working Title
Data Science Analyst Senior/Intermediate
Job Title
Data Architect 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
Medical School
Department
MM Anesthesiology Department
Posting Begin/End Date
11/03/2026 - 12/03/2026
Career Interest
Information Technology
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.
Mission Statement
Michigan Medicine improves the health of patients, populations and communities through excellence in education, patient care, community service, research and technology development, and through leadership activities in Michigan, nationally and internationally. Our mission is guided by our Strategic Principles and has three critical components; patient care, education and research that together enhance our contribution to society.
Job Summary
Michigan Anesthesiology Informatics and Systems Improvement Exchange (MAISE) is part of the University of Michigan Department of Anesthesiology. We are a group made up collectively of IT, business, and healthcare professionals. Our goal is to leverage IT to its fullest to improve patient safety and create better health care outcomes.
In this position, you will work under the general direction of the MAISE AIG Manager. As a Data Architect Intermediate/Senior, you will design, develop, validate, deploy, and maintain data science and artificial intelligence (AI) solutions that address clinical, operational, and research needs within Michigan Medicine. You will work with electronic health record (EHR) systems, clinical data, relational databases, and other healthcare information sources to develop machine learning models, clinical natural language processing (NLP) applications, large language model (LLM) solutions, and automated data processing pipelines.
You will leverage relational database technologies, including SQL Server, Oracle, and/or PostgreSQL, to access, transform, integrate, and manage data for AI and data science applications. You will translate clinical and operational challenges into practical, data-driven solutions through data acquisition and preprocessing, exploratory data analysis, feature engineering, model development and evaluation, AI output validation, software development, system integration, and production monitoring. You will develop custom solutions that support the EHR ecosystem and its downstream stakeholders, including Finance, Billing, Quality Assurance (QA), and Research. These solutions may involve enhancing and maintaining existing in-house applications or scoping, designing, developing, and implementing new solutions from the ground up. You will collaborate with clinicians, researchers, analysts, software developers, and IT professionals to ensure that solutions are reliable, scalable, maintainable, and appropriate for their intended use.
This position offers opportunities to contribute to innovative projects involving clinical prediction, automated clinical documentation analysis, coding and billing support, quality improvement, patient safety, and research. You will also contribute to the ongoing validation and monitoring of AI solutions to help ensure their accuracy, reliability, performance, and suitability for their intended clinical and operational applications.
Responsibilities
- Defines project requirements, scope, and objectives with clinical, operational, research, and technical stakeholders.
- Acquires, cleans, integrates, and analyzes structured and unstructured healthcare data using SQL, relational databases, EHR systems, and other data sources.
- Designs scalable data structures, data integration patterns, and reusable data pipelines to support AI applications, data science workflows, and integration across healthcare information systems.
- Develops, trains, evaluates, and optimizes machine learning and statistical models for clinical, operational, and research applications.
- Develops clinical NLP and LLM applications for information extraction, clinical summarization, structured data generation, and workflow automation.
- Builds and maintains data pipelines, ETL processes, and automated workflows for model development, validation, deployment, and production operations.
- Integrates AI solutions with existing databases, applications, and healthcare information systems.
- Validates AI outputs and model performance in collaboration with clinicians, researchers, and subject matter experts to improve accuracy and reliability.
- Develops, tests, debugs, and maintains production software and resolves issues affecting performance, scalability, and reliability.
- Monitors model performance, data quality, and system reliability; identifies issues and implements improvements.
- Proposes novel solutions to issues that arise, evaluate the feasibility of the solution, adapt and refine the model as applicable.
- Develops reports and visualizations to communicate analytical results and support clinical, operational, and research needs.
- Optimizes algorithms and workflows to improve computational efficiency, performance, and scalability.
- Documents data processing, model development, evaluation, deployment, limitations, and maintenance procedures.
- Applies appropriate data privacy, security, governance, and responsible AI practices.
- Collaborates with internal teams and external partners on data integration, research, and technical projects.
- Contributes throughout the project lifecycle, from feasibility assessment and development to implementation, maintenance, and continuous improvement.
Required Qualifications
Senior
- Bachelor's degree in Computer Science or a related field, with at least five years of directly relevant professional experience, or Master's degree in Computer Science or a related field, with at least two years of directly relevant professional experience, for the senior level.
- At least three years of programming experience in Python, R, JavaScript, C++ or another appropriate language, with demonstrated skills in SQL and data management.
- Experience in data science, machine learning, statistical analysis, software development, or related fields.
- Experience with machine learning frameworks and algorithms, including traditional machine learning, deep learning, and generative AI.
- Experience with clinical NLP, large language models (LLMs), prompt engineering, information extraction, or automated clinical documentation analysis.
- Experience developing, testing, debugging, and documenting software, data pipelines, ETL workflows, APIs, or production applications.
- Knowledge of model validation, monitoring, interpretability, reproducibility, and maintenance.
- Strong analytical, problem-solving, organizational, written communication, and presentation skills.
- Ability to work independently and collaboratively with multidisciplinary teams, and to interact effectively with diverse internal and external stakeholders.
- Ability to manage competing priorities, adapt to changing requirements, and work effectively in a fast-paced environment.
- Willingness to learn healthcare systems, clinical workflows, and new technologies.
Intermediate
- Bachelor's degree in Computer Science or a related field, with at least three years of relevant professional experience, for the intermediate level.
Candidates with extensive relevant experience and qualifications are encouraged to apply and may be considered for appointment at the senior level.
Desired Qualifications
- Master's degree in Computer Science or a related field.
- Experience with Epic, including demonstrated proficiency or relevant certification.
- Experience with electronic health record (EHR) systems, clinical databases, healthcare data standards, or Epic.
- Health system experience or experience collaborating with clinicians, researchers, or healthcare administrators.
- Familiarity with Linux, Git, automated testing, continuous integration and continuous deployment (CI/CD), containers, and production deployment.
- Experience with data warehouses, cloud or on-premises infrastructure, or GPU computing.
- Knowledge of healthcare data privacy, information security, and responsible AI practices.
Why Join Michigan Medicine?
Michigan Medicine is one of the largest health care complexes in the world and has been the site of many groundbreaking medical and technological advancements since the opening of the U-M Medical School in 1850. Michigan Medicine is comprised of over 30,000 employees and our vision is to attract, inspire, and develop outstanding people in medicine, sciences, and healthcare to become one of the world’s most distinguished academic health systems. In some way, great or small, every person here helps to advance this world-class institution. Work at Michigan Medicine and become a victor for the greater good.
What Benefits can you Look Forward to?
- Excellent medical, dental and vision coverage effective on your very first day
- 2:1 Match on retirement savings
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.
Underfill Statement
This position may be underfilled at a lower classification depending on the qualifications of the selected candidate.
Background Screening
Michigan Medicine conducts background screening and pre-employment drug testing on job candidates upon acceptance of a contingent job offer and may use a third party administrator to conduct background screenings. Background screenings are performed in compliance with the Fair Credit Report Act. Pre-employment drug testing applies to all selected candidates, including new or additional faculty and staff appointments, as well as transfers from other U-M campuses.
Application Deadline
Job openings are posted for a minimum of seven calendar days. The review and selection process may begin as early as the eighth day after posting. This opening may be removed from posting boards and filled anytime after the minimum posting period has ended.
U-M EEO Statement
The University of Michigan is an Equal Opportunity Employer. We are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants, including protected veterans and individuals with disabilities.
Job Opening ID
285219
Working Title
Data Science Analyst Senior/Intermediate
Job Title
Data Architect 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
Medical School
Department
MM Anesthesiology Department
Posting Begin/End Date
11/03/2026 - 12/03/2026
Career Interest
Information Technology
See all STEM OPT Senior Data Science Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new STEM OPT Senior Data Science Engineer Jobs.
Get Access To All JobsTips for Finding STEM OPT Authorization as a Senior Data Science Engineer
Verify your CIP code before applying
Check that your degree's CIP code appears on the DHS STEM OPT designated degree program list. Computer science, statistics, and applied mathematics codes commonly support Senior Data Science Engineer roles, but data-adjacent business degrees may not qualify without a secondary STEM credential.
Confirm E-Verify enrollment before accepting offers
Ask recruiters directly whether the hiring entity, not just the parent company, is enrolled in E-Verify. Subsidiaries and staffing intermediaries sometimes operate under separate Employer Identification Numbers, so E-Verify enrollment at the wrong entity level can invalidate your STEM OPT extension.
File your I-983 training plan before day one
Your DSO must sign the I-983 before you start work. For Senior Data Science Engineer roles, map your training goals to specific project deliverables, model development cycles, and mentorship structures. A vague plan risks SEVP audit findings that can jeopardize your authorization.
Target employers with H-1B filing history
Use Migrate Mate to filter Senior Data Science Engineer roles by employers whose DOL Labor Condition Application history shows consistent STEM sponsorship. This removes companies that hire OPT students as short-term contractors but decline to support the H-1B transition you'll need before your 36 months run out.
Use OFLC Wage Search to benchmark your offer
Look up the prevailing wage for your SOC code and geographic area in OFLC Wage Search before negotiating. Your employer's LCA must certify at least the prevailing wage level, so an offer below that threshold is a compliance problem, not just a negotiation issue.
Start cap-gap planning at 24 months, not 36
If your employer files an H-1B petition before your STEM OPT expires and you're selected in the lottery, cap-gap rules extend your work authorization through September 30. Submit all supporting documents to USCIS promptly so there's no gap between your OPT end date and the H-1B start date.
Frequently Asked Questions
Does a Senior Data Science Engineer role qualify for STEM OPT?
Yes, if your degree is listed on the DHS STEM OPT designated degree program list under an eligible CIP code, and the role requires that STEM knowledge in a direct, substantive way. Degrees in computer science, statistics, data science, and applied mathematics commonly support this role. Check your I-20 to confirm the CIP code your DSO recorded, because that code, not your job title, determines eligibility.
What E-Verify requirement applies to my STEM OPT employer?
Your employer must be actively enrolled in E-Verify at the specific worksite location where you'll work. Enrollment at a parent company or affiliated entity doesn't satisfy the requirement if you're employed by a subsidiary with a different EIN. Verify enrollment status directly with your recruiter or HR contact before signing an offer letter, since working for a non-enrolled employer voids your STEM OPT extension.
What goes into the I-983 training plan for a data science role?
The I-983 must describe the practical training goals, the skills you'll develop, and how those skills connect to your STEM degree. For a Senior Data Science Engineer position, this typically includes objectives around machine learning model development, data pipeline architecture, experimental design, and performance evaluation. Your employer's authorized representative and your DSO both sign the form, and it must be completed before your first day of work.
How does cap-gap work if I'm on STEM OPT and selected in the H-1B lottery?
If your employer files a timely H-1B petition on your behalf and USCIS selects it in the lottery, cap-gap automatically extends your work authorization from your OPT end date through September 30 of that year. Your H-1B then takes effect October 1. You can continue working during the cap-gap period as long as the petition remains pending or approved. Keep your I-20 and EAD documents current throughout this window.
Where can I find Senior Data Science Engineer jobs with verified STEM OPT sponsorship?
Migrate Mate lists Senior Data Science Engineer roles filtered for employers enrolled in E-Verify and with documented STEM sponsorship history based on DOL Labor Condition Application data. You can also cross-reference the O*NET profile for this occupation to identify the SOC code and confirm that your target roles align with your degree's CIP code before applying.