E-3 Visa Clinical Informatics Analyst Jobs
Clinical Informatics Analyst roles in the U.S. sit squarely within E-3 specialty occupation territory, requiring a degree in health informatics, computer science, or a related field. Australian professionals can secure E-3 visa sponsorship without competing in a lottery, with employers filing a Labor Condition Application before your consulate appointment.
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Get Access To All JobsWe’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time.
This remote role can be performed in any US time zone, however supporting PST business hours is preferred.
Position Summary
The CVS Health Women’s Health and Genomics team is part of the Enterprise Medical Affairs organization group responsible for advancing the highest clinical quality standards, increasing access to care, improving patient outcomes and reducing health care costs across the enterprise. We deliver effective and efficient solutions that span a broad range of clinical priorities and initiatives.
As Manager, Clinical Informatics & Analytics, on the Enterprise Women’s Health and Genomics Team, you will be responsible for advanced analytics, clinical informatics, modeling of clinical and claims data, and hypothesis-driven approaches to generate actionable, customer-centric insights. These insights will help operationalize the strategy and drive growth, ensure cost-effectiveness, improve health outcomes, and expand access to healthcare across all CVS Health businesses. Your work will also inform financial reporting to enterprise business partners.
This role aligned with a Sr. Decision Scientist position will also help support opportunities to develop and deploy AI/ML solutions for Women’s Health & Genomics operations with a focus on improving workflows, administrative efficiencies, quality, cost, and access.
In this role, you will support the team’s Data Scientist lead with the following:
- Analyze claims, utilization, and clinical data to inform strategic initiatives and identify healthcare gaps and opportunities
- Explore structured and unstructured clinical datasets to uncover patterns to generate structured, actionable downstream analytics, and predictive modeling
- Use Business Intelligence (BI) tools and reporting platforms (Tableau, Power BI, SQL, SAS)
- Develop operational reports and dashboards
- Cross-functional partnership to identify needs, mitigate risk, and drive alignment
- Serve as a SME for analytics workflows and with data governance
- Partner with enterprise AI, data science, and technology teams under enterprise governance to deploy scalable AI solutions into production workflows
- Apply and operationalize responsible AI principles to automate analytics workflows, improve reporting efficiency, and accelerate insight generation
Essential Qualifications:
- 5+ years’ experience in healthcare analytics, finance, or strategy with 2+ years in data science, machine learning (ML), or applied Natural Language Processing (NLP)
- Experience in clinical analytics environment (preferably relative to women’s health and genomics)
- Knowledge of clinical diagnostic and billing coding systems and terminologies (ICD-10, CPT, etc.)
- Strong knowledge of reimbursement models (FFS and value-based care) and claims-based analytics
- Advanced BI and statistical analysis skills with experience in ML platforms
- Experience with PHI handling, compliant with privacy and security laws: HIPAA, etc.
- Proven ability to be proactive, creative, and nimble in their approach to enable success in a fast-paced and dynamic environment
- Ability to simultaneously manage multiple projects and initiatives across a range of topic areas
- Willingness to work within matrixed teams to drive innovation and value but also to continuously adapt as required
Preferred Qualifications:
- Proficiency in Python and SQL for working with large-scale healthcare datasets
- Technical - Aetna Applications/Enterprise Data Warehouse/2-5 Years/Power User
- Technical - Data visualization software (ex. ThoughtSpot, Tableau)
Education:
Required: Bachelor’s degree in health informatics, biostatistics, computer science, data science mathematics, biomedical informatics, or related—or an equivalent combination of formal education and experience
Preferred: Master's degree or higher in Health Informatics, Biomedical Informatics, Clinical Informatics, Public Health, Epidemiology, Data Science or AI in a related field is a plus
Anticipated Weekly Hours
40
Time Type
Full time
Pay Range
The typical pay range for this role is:
$101,970.00 - $203,940.00
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.
Great benefits for great people
We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.
This full-time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well-being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.
Additional details about available benefits are provided during the application process and on Benefits Moments.
We anticipate the application window for this opening will close on: 08/28/2026
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time.
This remote role can be performed in any US time zone, however supporting PST business hours is preferred.
Position Summary
The CVS Health Women’s Health and Genomics team is part of the Enterprise Medical Affairs organization group responsible for advancing the highest clinical quality standards, increasing access to care, improving patient outcomes and reducing health care costs across the enterprise. We deliver effective and efficient solutions that span a broad range of clinical priorities and initiatives.
As Manager, Clinical Informatics & Analytics, on the Enterprise Women’s Health and Genomics Team, you will be responsible for advanced analytics, clinical informatics, modeling of clinical and claims data, and hypothesis-driven approaches to generate actionable, customer-centric insights. These insights will help operationalize the strategy and drive growth, ensure cost-effectiveness, improve health outcomes, and expand access to healthcare across all CVS Health businesses. Your work will also inform financial reporting to enterprise business partners.
This role aligned with a Sr. Decision Scientist position will also help support opportunities to develop and deploy AI/ML solutions for Women’s Health & Genomics operations with a focus on improving workflows, administrative efficiencies, quality, cost, and access.
In this role, you will support the team’s Data Scientist lead with the following:
- Analyze claims, utilization, and clinical data to inform strategic initiatives and identify healthcare gaps and opportunities
- Explore structured and unstructured clinical datasets to uncover patterns to generate structured, actionable downstream analytics, and predictive modeling
- Use Business Intelligence (BI) tools and reporting platforms (Tableau, Power BI, SQL, SAS)
- Develop operational reports and dashboards
- Cross-functional partnership to identify needs, mitigate risk, and drive alignment
- Serve as a SME for analytics workflows and with data governance
- Partner with enterprise AI, data science, and technology teams under enterprise governance to deploy scalable AI solutions into production workflows
- Apply and operationalize responsible AI principles to automate analytics workflows, improve reporting efficiency, and accelerate insight generation
Essential Qualifications:
- 5+ years’ experience in healthcare analytics, finance, or strategy with 2+ years in data science, machine learning (ML), or applied Natural Language Processing (NLP)
- Experience in clinical analytics environment (preferably relative to women’s health and genomics)
- Knowledge of clinical diagnostic and billing coding systems and terminologies (ICD-10, CPT, etc.)
- Strong knowledge of reimbursement models (FFS and value-based care) and claims-based analytics
- Advanced BI and statistical analysis skills with experience in ML platforms
- Experience with PHI handling, compliant with privacy and security laws: HIPAA, etc.
- Proven ability to be proactive, creative, and nimble in their approach to enable success in a fast-paced and dynamic environment
- Ability to simultaneously manage multiple projects and initiatives across a range of topic areas
- Willingness to work within matrixed teams to drive innovation and value but also to continuously adapt as required
Preferred Qualifications:
- Proficiency in Python and SQL for working with large-scale healthcare datasets
- Technical - Aetna Applications/Enterprise Data Warehouse/2-5 Years/Power User
- Technical - Data visualization software (ex. ThoughtSpot, Tableau)
Education:
Required: Bachelor’s degree in health informatics, biostatistics, computer science, data science mathematics, biomedical informatics, or related—or an equivalent combination of formal education and experience
Preferred: Master's degree or higher in Health Informatics, Biomedical Informatics, Clinical Informatics, Public Health, Epidemiology, Data Science or AI in a related field is a plus
Anticipated Weekly Hours
40
Time Type
Full time
Pay Range
The typical pay range for this role is:
$101,970.00 - $203,940.00
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.
Great benefits for great people
We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.
This full-time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well-being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.
Additional details about available benefits are provided during the application process and on Benefits Moments.
We anticipate the application window for this opening will close on: 08/28/2026
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
See all E-3 Visa Clinical Informatics Analyst Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new E-3 Visa Clinical Informatics Analyst Jobs.
Get Access To All JobsTips for Finding E-3 Visa Sponsorship as a Clinical Informatics Analyst
Verify your degree meets specialty occupation requirements
USCIS requires your degree field to directly relate to clinical informatics work. A health informatics, computer science, or biomedical engineering degree satisfies this clearly. A general business or unrelated science degree may require additional documentation to establish the connection.
Target health systems with existing LCA filing history
Large hospital networks and integrated health systems regularly file Labor Condition Applications for informatics roles. Searching DOL's OFLC disclosure data by job title confirms which employers have sponsored similar positions, saving you from pursuing organizations with no sponsorship infrastructure.
Distinguish clinical informatics from general IT in applications
Roles blending clinical workflows with data systems qualify as specialty occupations. Framing your experience around EHR implementation, clinical decision support, or interoperability standards signals to hiring managers that E-3 visa sponsorship is straightforward, not ambiguous.
Use Migrate Mate to find sponsoring employers quickly
Searching for Clinical Informatics Analyst roles with confirmed E-3 sponsorship is faster with a dedicated tool. Migrate Mate surfaces employers actively filing for this role type, so you spend time on viable applications rather than guessing which organizations sponsor.
Confirm your employer will file the LCA before accepting an offer
The LCA must be certified by DOL before you can attend your consulate appointment. Ask HR explicitly whether they've filed LCAs for E-3 workers before. An employer unfamiliar with the E-3 process may delay your start date by weeks if they conflate it with H-1B visa procedures.
Use Migrate Mate's E-3 filing service to streamline your application
Once you have an offer, use Migrate Mate's E-3 filing service to handle your LCA submission, DS-160, and consulate preparation end-to-end. This is particularly useful when your employer's HR team has no prior E-3 experience and needs guided support through the filing steps.
E-3 Visa Clinical Informatics Analyst: Frequently Asked Questions
How do I find Clinical Informatics Analyst jobs that offer E-3 visa sponsorship?
Migrate Mate is the most direct way to search for Clinical Informatics Analyst roles where employers are already open to E-3 sponsorship. Many health systems and health IT vendors sponsor E-3 workers but don't advertise it explicitly in job postings, so filtering by employers with active LCA filing history is the practical approach.
How much does it cost to get an E-3 visa?
Migrate Mate's E-3 filing service covers the entire process for $499, including the Labor Condition Application, visa document preparation, and consulate appointment guidance. Traditional immigration lawyers charge $2,000–$5,000+ for the same work. The E-3 has less paperwork than most work visas, so paying thousands for legal help is usually unnecessary.
Does a Clinical Informatics Analyst role qualify as an E-3 specialty occupation?
Yes, in most cases. USCIS defines a specialty occupation as one requiring at least a bachelor's degree in a specific field directly related to the role. Clinical Informatics Analyst positions typically require degrees in health informatics, computer science, or biomedical engineering, and the job duties involve specialized knowledge of clinical systems, which satisfies the specialty occupation standard.
How does the E-3 visa compare to H-1B for Clinical Informatics Analyst roles?
The E-3 has a significant structural advantage for Australians: there is no lottery. H-1B selection is randomized from a capped pool each fiscal year, meaning a qualified candidate can go unselected for multiple consecutive years. The E-3 annual allocation of 10,500 visas has never been exhausted, so a qualified Australian with a job offer can apply at the consulate without waiting for a selection round.
What happens to my E-3 status if I change employers within clinical informatics?
Your E-3 authorization is employer-specific, so moving to a new organization requires a fresh LCA and a new visa stamp or change of status filing. You can work for the new employer once the new LCA is certified and the visa is issued. There is no H-1B-style portability rule, so start the process with your new employer well before your intended transition date.