Clinical Data Analyst Jobs in USA with Visa Sponsorship
Clinical Data Analyst roles qualify as specialty occupations under the H-1B visa, E-3 visa, and H-1B1 visas, requiring a bachelor's degree in a directly related field such as biostatistics, health informatics, or life sciences. Employers in pharma, CROs, and health systems actively file LCAs for this title. For detailed occupation requirements, see the O*NET profile.
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The Clinical Data Systems Designer I supports the delivery of clinical trial data systems, external vendor data acquisition, and fit-for-purpose datasets for reporting, analysis, and regulatory submissions. The role brings together people, processes, and technology to generate business value from clinical trial data. The position ensures that study protocol requirements are appropriately reflected in clinical system designs, external vendor data-acquisition requirements, system integrations, data aggregation, data transformation, and data quality controls. The role also supports the consistent use of common clinical data standards across studies, programs, and therapeutic areas.
Responsibilities:
- Leads external vendor data acquisition for multiple concurrent studies throughout the study lifecycle, from requirements definition and specification development through data delivery, issue resolution, reconciliation, and study closeout.
- Ensures that study protocol requirements are accurately reflected in clinical system designs, external data-acquisition requirements, and applicable clinical data standards, including CDISC, CDASH, and SDTM.
- Collaborates extensively with Data and Statistical Sciences, clinical study teams, data management, programming, technology teams, external vendors, and other cross-functional partners to achieve study and program objectives.
- Aggregates clinical trial data from multiple internal and external sources into centralized clinical data warehouses; supports data transformation, multisource reconciliation, quality controls, and delivery of SDTM and reporting-ready datasets.
- Accountable for the timely design and delivery of clinical systems, system integrations, and required system changes, including EDC and IRT, while using project-management tools to track study progress and plan work.
- Coordinates upstream and downstream dependencies, anticipates risks to timelines or data quality, and develops practical options and solutions to maintain delivery across assigned studies.
- Serves as a clinical data systems and technology point of contact, working with data and statistical colleagues and external vendors to troubleshoot data-acquisition, integration, reconciliation, and process-flow issues.
- Promotes therapeutic-area and program-level consistency in clinical system design, external vendor data acquisition, data standards, and data-processing approaches.
- Acts as a clinical data systems subject matter expert during regulatory inspections and internal quality audits and ensures adherence to applicable regulations, GCP, ICH guidelines, SOPs, and functional quality standards.
- Coaches and mentors Data Science Associates and contributes to cross-functional innovation, standardization, and continuous process-improvement initiatives.
Qualifications
- Bachelor's degree in business, management information systems, computer science, life sciences, or an equivalent field; master's degree preferred.
- At least 3 years of clinical technology experience involving systems such as EDC, IRT, or ePRO; or at least 5 years of experience in a similar technical or clinical development role.
- Demonstrated knowledge of clinical research, the clinical trial process, and the full study lifecycle.
- Working knowledge of CDISC standards, including CDASH and SDTM.
- Demonstrated SAS and/or SQL programming skills and knowledge of database concepts.
- Experience with clinical system design, integrations, clinical data warehouses, multisource data aggregation, data transformation, data reconciliation, and standardized or reporting-ready clinical datasets preferred.
- Experience leading external vendor data acquisition across multiple concurrent studies throughout the study lifecycle, including the development of third-party data acquisition specifications.
- Demonstrated analytical, troubleshooting, and problem-solving skills.
- Demonstrated effective written and verbal communication skills and the ability to influence others without direct authority.
- Demonstrated ability to collaborate extensively across functions, influence without direct authority, manage upstream and downstream dependencies, and support process improvement and technology innovation initiatives.
Key Stakeholders:
- Data and Statistical Sciences teams.
- Clinical study and program teams.
- Clinical technology and systems teams.
- Data management and programming functions.
- Cross-functional partners supporting clinical development.
Purpose:
The Clinical Data Systems Designer I supports the delivery of clinical trial data systems, external vendor data acquisition, and fit-for-purpose datasets for reporting, analysis, and regulatory submissions. The role brings together people, processes, and technology to generate business value from clinical trial data. The position ensures that study protocol requirements are appropriately reflected in clinical system designs, external vendor data-acquisition requirements, system integrations, data aggregation, data transformation, and data quality controls. The role also supports the consistent use of common clinical data standards across studies, programs, and therapeutic areas.
Responsibilities:
- Leads external vendor data acquisition for multiple concurrent studies throughout the study lifecycle, from requirements definition and specification development through data delivery, issue resolution, reconciliation, and study closeout.
- Ensures that study protocol requirements are accurately reflected in clinical system designs, external data-acquisition requirements, and applicable clinical data standards, including CDISC, CDASH, and SDTM.
- Collaborates extensively with Data and Statistical Sciences, clinical study teams, data management, programming, technology teams, external vendors, and other cross-functional partners to achieve study and program objectives.
- Aggregates clinical trial data from multiple internal and external sources into centralized clinical data warehouses; supports data transformation, multisource reconciliation, quality controls, and delivery of SDTM and reporting-ready datasets.
- Accountable for the timely design and delivery of clinical systems, system integrations, and required system changes, including EDC and IRT, while using project-management tools to track study progress and plan work.
- Coordinates upstream and downstream dependencies, anticipates risks to timelines or data quality, and develops practical options and solutions to maintain delivery across assigned studies.
- Serves as a clinical data systems and technology point of contact, working with data and statistical colleagues and external vendors to troubleshoot data-acquisition, integration, reconciliation, and process-flow issues.
- Promotes therapeutic-area and program-level consistency in clinical system design, external vendor data acquisition, data standards, and data-processing approaches.
- Acts as a clinical data systems subject matter expert during regulatory inspections and internal quality audits and ensures adherence to applicable regulations, GCP, ICH guidelines, SOPs, and functional quality standards.
- Coaches and mentors Data Science Associates and contributes to cross-functional innovation, standardization, and continuous process-improvement initiatives.
Qualifications
- Bachelor's degree in business, management information systems, computer science, life sciences, or an equivalent field; master's degree preferred.
- At least 3 years of clinical technology experience involving systems such as EDC, IRT, or ePRO; or at least 5 years of experience in a similar technical or clinical development role.
- Demonstrated knowledge of clinical research, the clinical trial process, and the full study lifecycle.
- Working knowledge of CDISC standards, including CDASH and SDTM.
- Demonstrated SAS and/or SQL programming skills and knowledge of database concepts.
- Experience with clinical system design, integrations, clinical data warehouses, multisource data aggregation, data transformation, data reconciliation, and standardized or reporting-ready clinical datasets preferred.
- Experience leading external vendor data acquisition across multiple concurrent studies throughout the study lifecycle, including the development of third-party data acquisition specifications.
- Demonstrated analytical, troubleshooting, and problem-solving skills.
- Demonstrated effective written and verbal communication skills and the ability to influence others without direct authority.
- Demonstrated ability to collaborate extensively across functions, influence without direct authority, manage upstream and downstream dependencies, and support process improvement and technology innovation initiatives.
Key Stakeholders:
- Data and Statistical Sciences teams.
- Clinical study and program teams.
- Clinical technology and systems teams.
- Data management and programming functions.
- Cross-functional partners supporting clinical development.
See all 164+ Clinical Data Analyst Jobs
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Get Access To All JobsTips for Finding Visa Sponsorship as a Clinical Data Analyst
Align your degree to the role
Clinical Data Analyst positions require a degree directly related to the job, not just any STEM credential. Biostatistics, health informatics, epidemiology, or life sciences degrees map cleanly. A general business or IT degree may trigger an RFE, so document the connection explicitly on your resume.
Verify prevailing wages before negotiating
Your employer's LCA must certify a wage at or above the DOL prevailing wage for your specific location and job title. Run the OFLC Wage Search before any offer conversation so you know the floor and can flag underpayment before it becomes a filing problem.
Target CROs and pharma over general employers
Contract research organizations and pharmaceutical companies file LCAs for Clinical Data Analyst roles far more consistently than general healthcare systems or startups. Prioritize employers with established clinical trial operations, where this job title already sits inside a defined HR sponsorship workflow.
Search verified sponsors on Migrate Mate
Filter your job search to employers with confirmed LCA filing history for clinical data roles. Migrate Mate shows verified sponsorship data by role and location, so you're not cold-applying to companies that have never filed for this title before.
Get your CCDM or SAS credentials before applying
The Certified Clinical Data Manager credential and SAS programming certifications directly strengthen a specialty occupation argument for this role. USCIS adjudicators look for industry-recognized qualifications when the degree field is adjacent rather than exact, and these credentials close that gap.
Confirm the employer's PERM readiness early
If you're planning a green card path after your initial visa, ask during the offer stage whether the employer has filed PERM labor certifications for similar roles before. Companies without that track record often stall at the EB-2 or EB-3 stage, costing you years of status continuity.
Frequently Asked Questions
Does a Clinical Data Analyst role qualify as a specialty occupation?
Yes, provided the employer requires a bachelor's degree in a directly related field such as biostatistics, health informatics, clinical research, or life sciences. The key is that the degree requirement must be specific to the field, not a general condition. Roles that accept any bachelor's degree can fail the specialty occupation test, so the job description wording matters significantly.
Which visa types cover Clinical Data Analyst positions?
Australian nationals can use the E-3, which has no lottery and renews indefinitely in two-year increments. Chilean and Singaporean nationals may qualify for the H-1B1 visa. All other nationalities typically rely on the H-1B, which is subject to an annual cap and selection process. F-1 students can work in this role on OPT or STEM OPT if their degree is in a qualifying STEM field.
What degree do I need to get sponsored as a Clinical Data Analyst?
A bachelor's degree or higher in biostatistics, epidemiology, health informatics, clinical research, computer science, or a related life science is the standard expectation. USCIS evaluates whether the specific field of study connects logically to the clinical data function. A three-year Australian bachelor's degree is generally accepted as equivalent to a U.S. four-year degree for E-3 and H-1B purposes.
How do I find employers who actively sponsor Clinical Data Analyst roles?
Migrate Mate lists employers with verified LCA filing history for clinical data roles, searchable by location and job title. This filters your search to companies that have already navigated the sponsorship process for this specific position, rather than employers who may be willing in theory but have no operational experience filing for this title.
Can I use STEM OPT as a Clinical Data Analyst while waiting for H-1B selection?
Yes, if your degree is in a STEM-designated field such as biostatistics, computer science, or health informatics. The 24-month STEM OPT extension requires your employer to be enrolled in E-Verify and to sign a training plan under Form I-983. This gives you up to 36 months of total OPT work authorization, which often covers one or two H-1B selection cycles.
What is the prevailing wage requirement for sponsored Clinical Data Analyst jobs?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.