STEM OPT Database Developer Jobs
Database Developer roles qualify for STEM OPT because they map to CIP codes in computer science and information technology. Your STEM degree gives you up to 24 months of additional work authorization beyond your initial OPT period, but only with employers enrolled in E-Verify. That requirement filters the job market before you apply.
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Get Access To All JobsINTRODUCTION
NYU Grossman School of Medicine is one of the nation's top-ranked medical schools. For 175 years, NYU Grossman School of Medicine has trained thousands of physicians and scientists who have helped to shape the course of medical history and enrich the lives of countless people. An integral part of NYU Langone Health, the Grossman School of Medicine at its core is committed to improving the human condition through medical education, scientific research, and direct patient care. At NYU Langone Health, equity and inclusion are fundamental values. We strive to be a place where our exceptionally talented faculty, staff, and students of all identities can thrive. We embrace inclusion and individual skills, ideas, and knowledge.
Position Summary:
We have an exciting opportunity to join our team as a Clinical Database Analyst.
The Clinical Data Analyst will join the Center for Healthcare Innovation and Delivery Science (CHIDS), led by Leora Horwitz. CHIDS advances healthcare delivery research, learning health system development, quality improvement, applied AI, pragmatic clinical trials, and care-delivery innovation. The center serves as a collaborative hub for clinicians, researchers, educators, and administrators working to redesign care and improve patient outcomes. The Clinical Data Analyst will support a portfolio of high-impact initiatives, including enterprise applications of large language models (LLMs) to streamline patient care, development of a digital-first primary care practice, and EHR-based tools that strengthen clinical decision-making.
The ideal candidate is highly organized, collaborative, and technically proficient, with experience working with clinical data, healthcare operations, research workflows, and enterprise EHR environments. This individual will translate clinical and operational needs into reliable, scalable data solutions and support the implementation and evaluation of informatics interventions.
JOB RESPONSIBILITIES:
Data Management, Analysis, and Reporting
- Develop, validate, and maintain SQL queries, integrated datasets, dashboards, reports, and other analytic deliverables using clinical, research, administrative, and operational data.
- Extract, integrate, clean, and analyze data from Epic and other institutional source systems to support research studies, quality-improvement initiatives, learning health system projects, and ad hoc analyses.
- Create analysis-ready datasets from multiple data sources while maintaining data provenance, documentation, privacy, and adherence to data-governance requirements.
- Conduct data profiling, validation, reconciliation, and quality-control activities to ensure analytic datasets are accurate, complete, consistent, and fit for purpose.
- Develop recurring and ad hoc reports for project monitoring, data-integrity review, stakeholder communication, and decision support.
- Present findings to technical and nontechnical audiences through written summaries, visualizations, presentations, and stakeholder discussions.
Informatics and Intervention Support
- Partner with clinical, research, operational, technical, and informatics stakeholders to define project goals, workflows, data requirements, outcome measures, and implementation plans.
- Translate clinical and operational questions into clear data specifications, analytic plans, and scalable reporting solutions.
- Support the design, implementation, evaluation, and optimization of clinical and research interventions embedded in Epic and related EHR workflows.
- Assess the impact of proposed interventions on clinical workflows, documentation practices, data capture, end-user experience, and downstream reporting.
- Develop monitoring approaches for intervention adoption, workflow impact, data completeness and quality, and relevant project outcomes.
- Collaborate with clinical systems teams to support the deployment of clinical decision support tools in Epic.
Technical Infrastructure and Operations
- Troubleshoot data, software, and system issues; collaborate with NYULMC MCIT Research staff to develop and implement automated solutions for recurring data extraction, transformation, analysis, and reporting.
- Administer study-database user access; coordinate resolution of access issues and service interruptions; and manage requests for system modifications and report development.
- Manage the prod_CHIDS Databricks catalog, including data access, dashboard development, and long-term project monitoring.
- Support the Rapid RCT Labs analytical infrastructure, including the HPC environment, Databricks platform, GitHub organization, and Ivanti ticketing system.
- Provide technical guidance on project infrastructure, reporting strategies, scalability, reproducibility, and data-management practices.
Research Compliance and Collaboration
- Ensure compliance with applicable external and internal regulations, policies, and standard operating procedures governing research data and data systems, including Good Clinical Practice (GCP), FDA requirements, and organizational policies.
- Maintain high standards of research-data integrity by reviewing study data for completeness and accuracy.
- Work closely with principal investigators and study teams and participate in study-related meetings as needed.
MINIMUM QUALIFICATIONS:
Bachelor's degree in Computer Science or related field with at least 2 years related experience. Experience with electronic data capture (EDC) and database management systems (e.g., REDCap, Velos, Medidata, TrialMaster, Inform, etc.). In-depth understanding of data collection, data flow management, data quality, data extraction and data standards (knowledge of CDISC standards for CDASH, SDTM and ADaM a plus).
PREFERRED QUALIFICATIONS:
Masters degree in biomedical informatics, clinical informatics, data science, public health, healthcare administration, or a related field.
Experience supporting learning health system, implementation science, clinical quality-improvement, or enterprise health informatics initiatives.
Experience with Epic reporting and analytics tools, such as Clarity, Caboodle, Reporting Workbench, SlicerDicer, Cogito, or related platforms.
Experience using LLMs to develop applications, automate workflows, or improve clinical and operational processes.
Qualified candidates must be able to effectively communicate with all levels of the organization.
NYU Grossman School of Medicine provides its staff with far more than just a place to work. Rather, we are an institution you can be proud of, an institution where you'll feel good about devoting your time and your talents. At NYU Langone Health, we are committed to supporting our workforce and their loved ones with a comprehensive benefits and wellness package. Our offerings provide a robust support system for any stage of life, whether it's developing your career, starting a family, or saving for retirement. The support employees receive goes beyond a standard benefit offering, where employees have access to financial security benefits, a generous time-off program and employee resources groups for peer support. Additionally, all employees have access to our holistic employee wellness program, which focuses on seven key areas of well-being: physical, mental, nutritional, sleep, social, financial, and preventive care. The benefits and wellness package is designed to allow you to focus on what truly matters. Join us and experience the extensive resources and services designed to enhance your overall quality of life for you and your family.
NYU Grossman School of Medicine is an equal opportunity employer and committed to inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration. We require applications to be completed online.
NYU Langone Health provides a salary range to comply with the New York state Law on Salary Transparency in Job Advertisements. The salary range for the role is $66,300.00 - $105,722.27 Annually. Actual salaries depend on a variety of factors, including experience, specialty, education, and hospital need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.
INTRODUCTION
NYU Grossman School of Medicine is one of the nation's top-ranked medical schools. For 175 years, NYU Grossman School of Medicine has trained thousands of physicians and scientists who have helped to shape the course of medical history and enrich the lives of countless people. An integral part of NYU Langone Health, the Grossman School of Medicine at its core is committed to improving the human condition through medical education, scientific research, and direct patient care. At NYU Langone Health, equity and inclusion are fundamental values. We strive to be a place where our exceptionally talented faculty, staff, and students of all identities can thrive. We embrace inclusion and individual skills, ideas, and knowledge.
Position Summary:
We have an exciting opportunity to join our team as a Clinical Database Analyst.
The Clinical Data Analyst will join the Center for Healthcare Innovation and Delivery Science (CHIDS), led by Leora Horwitz. CHIDS advances healthcare delivery research, learning health system development, quality improvement, applied AI, pragmatic clinical trials, and care-delivery innovation. The center serves as a collaborative hub for clinicians, researchers, educators, and administrators working to redesign care and improve patient outcomes. The Clinical Data Analyst will support a portfolio of high-impact initiatives, including enterprise applications of large language models (LLMs) to streamline patient care, development of a digital-first primary care practice, and EHR-based tools that strengthen clinical decision-making.
The ideal candidate is highly organized, collaborative, and technically proficient, with experience working with clinical data, healthcare operations, research workflows, and enterprise EHR environments. This individual will translate clinical and operational needs into reliable, scalable data solutions and support the implementation and evaluation of informatics interventions.
JOB RESPONSIBILITIES:
Data Management, Analysis, and Reporting
- Develop, validate, and maintain SQL queries, integrated datasets, dashboards, reports, and other analytic deliverables using clinical, research, administrative, and operational data.
- Extract, integrate, clean, and analyze data from Epic and other institutional source systems to support research studies, quality-improvement initiatives, learning health system projects, and ad hoc analyses.
- Create analysis-ready datasets from multiple data sources while maintaining data provenance, documentation, privacy, and adherence to data-governance requirements.
- Conduct data profiling, validation, reconciliation, and quality-control activities to ensure analytic datasets are accurate, complete, consistent, and fit for purpose.
- Develop recurring and ad hoc reports for project monitoring, data-integrity review, stakeholder communication, and decision support.
- Present findings to technical and nontechnical audiences through written summaries, visualizations, presentations, and stakeholder discussions.
Informatics and Intervention Support
- Partner with clinical, research, operational, technical, and informatics stakeholders to define project goals, workflows, data requirements, outcome measures, and implementation plans.
- Translate clinical and operational questions into clear data specifications, analytic plans, and scalable reporting solutions.
- Support the design, implementation, evaluation, and optimization of clinical and research interventions embedded in Epic and related EHR workflows.
- Assess the impact of proposed interventions on clinical workflows, documentation practices, data capture, end-user experience, and downstream reporting.
- Develop monitoring approaches for intervention adoption, workflow impact, data completeness and quality, and relevant project outcomes.
- Collaborate with clinical systems teams to support the deployment of clinical decision support tools in Epic.
Technical Infrastructure and Operations
- Troubleshoot data, software, and system issues; collaborate with NYULMC MCIT Research staff to develop and implement automated solutions for recurring data extraction, transformation, analysis, and reporting.
- Administer study-database user access; coordinate resolution of access issues and service interruptions; and manage requests for system modifications and report development.
- Manage the prod_CHIDS Databricks catalog, including data access, dashboard development, and long-term project monitoring.
- Support the Rapid RCT Labs analytical infrastructure, including the HPC environment, Databricks platform, GitHub organization, and Ivanti ticketing system.
- Provide technical guidance on project infrastructure, reporting strategies, scalability, reproducibility, and data-management practices.
Research Compliance and Collaboration
- Ensure compliance with applicable external and internal regulations, policies, and standard operating procedures governing research data and data systems, including Good Clinical Practice (GCP), FDA requirements, and organizational policies.
- Maintain high standards of research-data integrity by reviewing study data for completeness and accuracy.
- Work closely with principal investigators and study teams and participate in study-related meetings as needed.
MINIMUM QUALIFICATIONS:
Bachelor's degree in Computer Science or related field with at least 2 years related experience. Experience with electronic data capture (EDC) and database management systems (e.g., REDCap, Velos, Medidata, TrialMaster, Inform, etc.). In-depth understanding of data collection, data flow management, data quality, data extraction and data standards (knowledge of CDISC standards for CDASH, SDTM and ADaM a plus).
PREFERRED QUALIFICATIONS:
Masters degree in biomedical informatics, clinical informatics, data science, public health, healthcare administration, or a related field.
Experience supporting learning health system, implementation science, clinical quality-improvement, or enterprise health informatics initiatives.
Experience with Epic reporting and analytics tools, such as Clarity, Caboodle, Reporting Workbench, SlicerDicer, Cogito, or related platforms.
Experience using LLMs to develop applications, automate workflows, or improve clinical and operational processes.
Qualified candidates must be able to effectively communicate with all levels of the organization.
NYU Grossman School of Medicine provides its staff with far more than just a place to work. Rather, we are an institution you can be proud of, an institution where you'll feel good about devoting your time and your talents. At NYU Langone Health, we are committed to supporting our workforce and their loved ones with a comprehensive benefits and wellness package. Our offerings provide a robust support system for any stage of life, whether it's developing your career, starting a family, or saving for retirement. The support employees receive goes beyond a standard benefit offering, where employees have access to financial security benefits, a generous time-off program and employee resources groups for peer support. Additionally, all employees have access to our holistic employee wellness program, which focuses on seven key areas of well-being: physical, mental, nutritional, sleep, social, financial, and preventive care. The benefits and wellness package is designed to allow you to focus on what truly matters. Join us and experience the extensive resources and services designed to enhance your overall quality of life for you and your family.
NYU Grossman School of Medicine is an equal opportunity employer and committed to inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration. We require applications to be completed online.
NYU Langone Health provides a salary range to comply with the New York state Law on Salary Transparency in Job Advertisements. The salary range for the role is $66,300.00 - $105,722.27 Annually. Actual salaries depend on a variety of factors, including experience, specialty, education, and hospital need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.
See all 33+ STEM OPT Database Developer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new STEM OPT Database Developer Jobs.
Get Access To All JobsTips for Finding STEM OPT Authorization as a Database Developer
Confirm your CIP code matches database roles
Pull up your degree's CIP code through your DSO before applying. Computer science, information systems, and data science codes all support Database Developer roles, but some general business or management information systems degrees sit in gray areas that require DSO confirmation.
Verify E-Verify enrollment before every application
Check E-Verify's employer search tool directly before submitting any application. A company can lose E-Verify enrollment between job postings and offer letters, so confirm status at application, not just at hire. Unenrolled employers cannot legally employ you on STEM OPT.
Target employers with active DOL LCA filings for database roles
Use Migrate Mate to filter for employers with Labor Condition Application history in database and software development occupations. Employers already familiar with LCA filing understand STEM OPT timelines and are less likely to rescind offers over authorization questions.
Build a training plan around your actual database stack
Your I-983 must list specific learning objectives tied to your job duties, not generic descriptions. Document the database systems, query languages, and data modeling tools you'll use. USCIS scrutinizes vague training plans, and a role-specific plan is harder to challenge.
Time your STEM OPT application against your offer timeline
USCIS recommends filing your STEM OPT extension at least 90 days before your initial OPT expires. Database Developer hiring cycles often run four to eight weeks, so start identifying employers six months out to leave room for offer negotiation and filing preparation.
Use SOC codes to benchmark prevailing wage expectations
Database Developers fall under SOC code 15-1252. Run that code through the OFLC Wage Search to see what employers must certify on an LCA for your metro area. If an offer falls below the Level I prevailing wage, the employer faces a compliance problem at the LCA stage.
Frequently Asked Questions
Does a Database Developer role qualify for the STEM OPT extension?
Database Developer positions qualify when your degree is in a STEM field with a matching CIP code, such as computer science, information systems, or data science. The role itself must require application of your STEM knowledge, not just use software incidentally. Your DSO confirms eligibility based on your specific degree program and the job description your employer provides.
What does the I-983 training plan need to include for a Database Developer?
Your I-983 must list measurable learning objectives tied directly to database development work, including the specific technologies, languages, and systems you'll work with. Objectives like 'design normalized relational schemas using PostgreSQL' are enforceable and verifiable. USCIS looks for a clear connection between your STEM degree, your listed objectives, and the actual duties in your offer letter. Generic descriptions increase the risk of a request for evidence.
How do I confirm my employer is enrolled in E-Verify before accepting an offer?
Use E-Verify's free public employer search tool to look up any company by name or employer identification number before you sign an offer. Enrollment status can change, so search at the time of the offer, not when the job was posted. An employer that isn't enrolled cannot legally hire you on STEM OPT, and you'd need to find a new employer or convert to a different status before starting work.
What happens to my STEM OPT if my employer loses E-Verify enrollment after I start?
If your employer's E-Verify enrollment lapses after you begin working, you must stop working for that employer. USCIS requires continuous E-Verify enrollment throughout your entire STEM OPT period. Your employer is responsible for re-enrolling, but the legal obligation to maintain authorized employment is yours. Report the change to your DSO immediately and document your response in case USCIS reviews your record.
Where can I find Database Developer jobs where employers already understand STEM OPT?
Migrate Mate filters Database Developer listings for employers with active E-Verify enrollment and LCA filing history in technology occupations, which removes the back-and-forth of explaining your authorization to employers unfamiliar with STEM OPT. Searching on Migrate Mate narrows your pool to employers who have already navigated the compliance side of hiring international students in technical roles.