STEM OPT Health Data Analyst Jobs
Health Data Analyst roles in healthcare systems, insurance, and public health agencies qualify for the 24-month STEM OPT extension when your degree falls under an eligible CIP code. Your employer must be enrolled in E-Verify, and you'll need a signed I-983 training plan before your extension starts.
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Get Access To All JobsINTRODUCTION
Our vision is to transform how the world uses information to enrich life for all.
Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.
Micron in Boise, Idaho has an opening for a HBM Product Yield Enhancement PDFA Engineer where you will work on the Product Development Failure Analysis team to take next generation HBM devices from design to mass production! This role can be entry level with a Master's Degree or equivalent experience, Senior level, or Staff level.
As part of the HBM Product Development Failure Analysis (PDFA) team, you will play a meaningful role in bringing next-generation HBM products from design through qualification and into high production manufacturing. The team focuses on ensuring product reliability, accelerating time-to-market, and enabling rapid production ramp by identifying and resolving component-level failures during new product introduction phases.
In this role, you will apply electrical, physical, and statistical failure analysis techniques to characterize failures, identify root causes, and drive corrective actions. You will collaborate with multi-functional engineering teams and leverage advanced analytics, statistical methods, and AI-enabled tools to improve failure detection, yield, reliability, and overall product performance.
JOB RESPONSIBILITIES
- Perform electrical, physical, and statistical failure analysis to identify, characterize, and understand defect and failure mechanisms in HBM products.
- Analyze component- and system-level data to resolve root causes of failures using statistical techniques, engineering methodologies, and AI-enabled tools.
- Apply AI tools (e.g., Copilot, Claude) and improved analytics to enhance failure detection, reliability learning cycles, yield improvement, and component performance.
- Work closely with Product, Process, Test, Quality, and Manufacturing Engineering teams to resolve fabrication, assembly, and test-related issues.
- Identify process defects, assembly-related failures, and test flow marginalities through detailed data analysis and characterization.
- Communicate technical findings, recommendations, and corrective actions to team members and drive issue resolution across multi-functional teams.
- Support rapid production ramp, product qualification, and continuous reliability improvement initiatives.
MINIMUM QUALIFICATIONS
- Bachelor’s degree in Electrical Engineering, Computer Engineering, Physics, Materials Science, or a related field.
- 2+ years of experience performing electrical and statistical failure analysis to identify and understand failure mechanisms.
- 2+ years of experience applying electrical and physical characterization techniques for semiconductor failure analysis.
- Demonstrated analytical and problem-solving skills, including the application of statistical methods and tools for data analysis.
- Experience using AI, machine learning, or data analytics tools to support engineering analysis and root cause investigations.
- Coursework, training, or practical experience in one or more of the following areas: VLSI, semiconductor device physics, semiconductor processing, Python programming, and statistics.
- Strong written and verbal communication skills with the ability to collaborate effectively in multi-functional engineering teams.
PREFERRED QUALIFICATIONS
- 7+ years of experience performing electrical and statistical failure analysis in the semiconductor industry.
- 7+ years of experience applying electrical and physical characterization techniques for semiconductor device and component analysis.
- Advanced coursework or hands-on experience in VLSI design, semiconductor processes, device physics, Python, and applied statistics.
- Experience using Artificial Intelligence or Generative AI tools (e.g., Copilot, Claude) for large-scale data analysis, failure prediction, and root cause identification.
- Experience using statistical analysis software such as JMP.
- Confirmed ability to influence technical outcomes and drive issue resolution in a multidisciplinary engineering environment.
- Proven ability to communicate complex technical findings to diverse team members and lead multi-functional collaboration efforts.
As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on micron.com/careers/benefits.
Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.
To learn more about Micron, please visit micron.com/careers.
For US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron’s People Organization at hrsupport_na@micron.com or 1-800-336-8918 (select option #3).
Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.
Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.
AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.
Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.
Micron Foundation
Strong communities and education are vital to the success of both society and innovative companies. Every Micron site understands the complex needs of their local community. Whether it’s through strategic giving, sponsorships or deploying team member volunteers, we are making a difference.
Sustainability
Micron is committed to sustainable practices and supporting our global community. We are building and maintaining sustainable operations, products, and communities while focusing on opportunities and risks that are most important to our business success and stakeholders.
INTRODUCTION
Our vision is to transform how the world uses information to enrich life for all.
Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.
Micron in Boise, Idaho has an opening for a HBM Product Yield Enhancement PDFA Engineer where you will work on the Product Development Failure Analysis team to take next generation HBM devices from design to mass production! This role can be entry level with a Master's Degree or equivalent experience, Senior level, or Staff level.
As part of the HBM Product Development Failure Analysis (PDFA) team, you will play a meaningful role in bringing next-generation HBM products from design through qualification and into high production manufacturing. The team focuses on ensuring product reliability, accelerating time-to-market, and enabling rapid production ramp by identifying and resolving component-level failures during new product introduction phases.
In this role, you will apply electrical, physical, and statistical failure analysis techniques to characterize failures, identify root causes, and drive corrective actions. You will collaborate with multi-functional engineering teams and leverage advanced analytics, statistical methods, and AI-enabled tools to improve failure detection, yield, reliability, and overall product performance.
JOB RESPONSIBILITIES
- Perform electrical, physical, and statistical failure analysis to identify, characterize, and understand defect and failure mechanisms in HBM products.
- Analyze component- and system-level data to resolve root causes of failures using statistical techniques, engineering methodologies, and AI-enabled tools.
- Apply AI tools (e.g., Copilot, Claude) and improved analytics to enhance failure detection, reliability learning cycles, yield improvement, and component performance.
- Work closely with Product, Process, Test, Quality, and Manufacturing Engineering teams to resolve fabrication, assembly, and test-related issues.
- Identify process defects, assembly-related failures, and test flow marginalities through detailed data analysis and characterization.
- Communicate technical findings, recommendations, and corrective actions to team members and drive issue resolution across multi-functional teams.
- Support rapid production ramp, product qualification, and continuous reliability improvement initiatives.
MINIMUM QUALIFICATIONS
- Bachelor’s degree in Electrical Engineering, Computer Engineering, Physics, Materials Science, or a related field.
- 2+ years of experience performing electrical and statistical failure analysis to identify and understand failure mechanisms.
- 2+ years of experience applying electrical and physical characterization techniques for semiconductor failure analysis.
- Demonstrated analytical and problem-solving skills, including the application of statistical methods and tools for data analysis.
- Experience using AI, machine learning, or data analytics tools to support engineering analysis and root cause investigations.
- Coursework, training, or practical experience in one or more of the following areas: VLSI, semiconductor device physics, semiconductor processing, Python programming, and statistics.
- Strong written and verbal communication skills with the ability to collaborate effectively in multi-functional engineering teams.
PREFERRED QUALIFICATIONS
- 7+ years of experience performing electrical and statistical failure analysis in the semiconductor industry.
- 7+ years of experience applying electrical and physical characterization techniques for semiconductor device and component analysis.
- Advanced coursework or hands-on experience in VLSI design, semiconductor processes, device physics, Python, and applied statistics.
- Experience using Artificial Intelligence or Generative AI tools (e.g., Copilot, Claude) for large-scale data analysis, failure prediction, and root cause identification.
- Experience using statistical analysis software such as JMP.
- Confirmed ability to influence technical outcomes and drive issue resolution in a multidisciplinary engineering environment.
- Proven ability to communicate complex technical findings to diverse team members and lead multi-functional collaboration efforts.
As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on micron.com/careers/benefits.
Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.
To learn more about Micron, please visit micron.com/careers.
For US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron’s People Organization at hrsupport_na@micron.com or 1-800-336-8918 (select option #3).
Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.
Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.
AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.
Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.
Micron Foundation
Strong communities and education are vital to the success of both society and innovative companies. Every Micron site understands the complex needs of their local community. Whether it’s through strategic giving, sponsorships or deploying team member volunteers, we are making a difference.
Sustainability
Micron is committed to sustainable practices and supporting our global community. We are building and maintaining sustainable operations, products, and communities while focusing on opportunities and risks that are most important to our business success and stakeholders.
See all 45+ STEM OPT Health Data Analyst Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new STEM OPT Health Data Analyst Jobs.
Get Access To All JobsTips for Finding STEM OPT Authorization as a Health Data Analyst
Verify your CIP code before applying
Health Data Analyst roles typically align with Statistics, Biostatistics, or Health Informatics CIP codes. Confirm your degree's exact CIP code with your DSO before targeting roles, because a mismatch can disqualify your extension even if your coursework is relevant.
Filter job postings by E-Verify status
STEM OPT employers must be enrolled in E-Verify before your extension is approved. Ask recruiters directly whether the hiring entity, not just the parent company, holds active E-Verify enrollment, since subsidiaries and affiliated hospitals often have separate accounts.
Target health systems with dedicated analytics teams
Large health systems, payers, and government health agencies run structured analytics functions that already support I-983 training plans. Roles embedded in a data or population health team give you the documented learning objectives USCIS requires for your extension.
Use Migrate Mate to find verified STEM OPT employers
Search for Health Data Analyst positions on Migrate Mate, where listings are filtered for employers with active STEM OPT hiring history. You can confirm E-Verify enrollment and role-level eligibility before you spend time on an application.
Benchmark your offer against the prevailing wage
Run the job title and work location through the OFLC Wage Search before accepting an offer. Your STEM OPT salary must meet the prevailing wage for the SOC code tied to the role, and a shortfall can create compliance issues for your employer's future H-1B visa filing.
Draft your I-983 training plan early in negotiations
Bring a draft I-983 to the offer stage so your manager and HR can align on documented learning goals before your start date. Vague training objectives are the most common reason STEM OPT extensions stall, and a pre-approved outline speeds up your DSO's submission.
Frequently Asked Questions
Does a Health Data Analyst role qualify for the STEM OPT extension?
Yes, if your degree falls under an eligible STEM CIP code such as Statistics, Biostatistics, Computer Science, or Health Informatics. The role itself must use the analytical and technical skills from that degree. Your DSO confirms eligibility by matching your program's CIP code against the DHS STEM Designated Degree Program List before approving the extension.
What E-Verify requirement applies to my Health Data Analyst employer?
Your employer must be actively enrolled in E-Verify before USCIS can approve your 24-month STEM OPT extension. Enrollment must be at the specific hiring location or entity level, not just the corporate parent. Ask HR for the E-Verify company ID during the offer stage so your DSO can confirm enrollment before submitting your extension application.
What does the I-983 training plan need to cover for a Health Data Analyst position?
The I-983 must document specific learning objectives tied to your STEM degree, the name of your employer supervisor, and how the role develops your analytical skills. For Health Data Analyst positions, this typically includes goals around SQL querying, claims or EHR data analysis, and population health modeling. Both you and your employer sign the form before your DSO submits it to USCIS.
How does cap-gap protection apply if my employer files an H-1B for me during STEM OPT?
If your employer files an H-1B petition on your behalf before your STEM OPT expires and USCIS receives it before April 1, cap-gap automatically extends your work authorization through September 30 of that year. You can continue working as a Health Data Analyst without interruption. USCIS issues an updated I-20 reflecting the cap-gap period, which your DSO provides.
Where can I find Health Data Analyst jobs that support STEM OPT students?
Migrate Mate lists Health Data Analyst positions filtered for employers with documented STEM OPT and E-Verify eligibility. You can search by location, industry, and authorization type to avoid spending time on roles where the employer isn't set up to support your extension. Checking O*NET for the official SOC classification for Health Data Analysts also helps you verify that a role's duties match your degree.