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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BSD MED - General Internal Medicine
About the Department
The Precision Health Informatics Lab (PHIL), led by Dr. Joshua Denny, MD, MS, develops and applies computational and informatics methods to translate large-scale genomic and clinical data into actionable insights about human health and disease. The lab's work sits at the intersection of genomics, electronic health record (EHR) data, and population-scale biobank research, with a focus on discovering gene-disease relationships, characterizing the clinical effects of genetic variation, and enabling precision medicine applications. A growing part of this work involves machine learning, large language models, and generative AI, which the lab uses to extract identify patterns across heterogeneous data sources and accelerate the pace of genomic discovery.
A central focus of the lab is phenomics, the integrative use of EHR-derived and survey-based phenotype data to power genetic and multiomic discovery. The lab develops and applies methods such as phenome-wide association studies (PheWAS), which test genetic variants against the full breadth of clinical phenotypes captured in health records, as well as traditional genome-wide association study (GWAS) approaches on complex phenotypes. PHIL builds and maintains computable phenotype algorithms, reproducible, data-driven definitions of disease states, drug effects, and other clinical conditions, that integrate EHR data, survey responses, and other health data sources.
We also seek to use large scale biobank data to uncover novel gene functions and previously unrecognized genetic diseases, an undertaking that depends on integrating genomic data with clinical, phenotypic, and knowledge-base resources at scale. PHIL collaborates broadly with clinical, genomic, and computational investigators to support biobank-scale studies, and is building a team of programmers, analysts, and scientists to sustain and expand this work.
Job Summary
The Senior Biomedical Informatics Programmer is integral to the ongoing operations of the Precision Health Informatics Lab (PHIL), providing critical scientific and bioinformatics programming support to enable large-scale biobank studies. This role will design, optimize, and maintain production-grade pipelines that connect genomic, phenotypic, and clinical data to support gene-disease discovery at scale, including studies using deep clinical characterization of individuals with rare genetic variants to uncover novel gene functions and genetic diseases.
Responsibilities
- Optimize and maintain best-practice pipelines for gene-disease association analyses, including genome-wide association studies (GWAS) and phenome-wide association studies (PheWAS).
- Build and refine computable phenotype algorithms for diseases, drug effects, and other clinical conditions by integrating EHR data with survey-based data sources.
- Develop scripts, pipelines, and software to analyze diverse health-related datasets, combining data across orthogonal sources — including EHR data, environmental exposures, and taxonomic/knowledge resources such as OMIM, the Human Phenotype Ontology, and DrugBank — to support genomic analyses.
- Provide broad-based programming and analytic support across a range of informatics and genomics research projects, including custom script development for analysis of public datasets and lab-generated data.
- Support the computational infrastructure underlying studies of rare genetic variants, helping enable discovery of novel gene functions and genetic diseases through clinical characterization.
- Collaborate with scientists, clinicians, and analysts to ensure pipelines are reliable, reproducible, and scalable for biobank-level data volumes.
- Generate public use resources.
- Leads implementation or modification of existing web-based bioinformatics tools.
- Provides expertise to biomedical informatics related concepts, applications, and tools.
- Performs other related work as needed.
Minimum Qualifications
Education:
Minimum requirements include a college or university degree in related field.
Work Experience:
Minimum requirements include knowledge and skills developed through 7+ years of work experience in a related job discipline.
Certifications:
Preferred Qualifications
Education:
- Advanced degree (MS or PhD preferred) in bioinformatics, computer science, computational biology, or related field.
Experience:
- Strong programming skills (e.g., Python, R, or similar) and experience building production data pipelines.
- Experience with genomic and/or EHR data formats and analysis (e.g., VCF, FHIR/OMOP, PheWAS/GWAS methods).
- Familiarity with biomedical ontologies and knowledge bases (OMIM, HPO, DrugBank).
- Experience working with large-scale biobank or clinical datasets.
Preferred Competencies
- Excellent verbal and written communication skills.
- Excellent interpersonal and customer service skills.
- Excellent organizational skills, ability to maintain files.
- Proficiency with word processing applications, preparing presentations, spreadsheets and databases.
- Ability to maintain calm and courteous demeanor and to work productively despite heavy workload, competing priorities, complex problems, and tight deadlines.
- Ability to exercise sound judgment and excellent problem-solving skills.
- Ability to exercise flexibility and contribute to the overall work of the team.
- Considerable skill in working both independently and as a team member.
- Ability to take initiative.
Application Documents
- Resume/CV (required)
- Cover Letter (required)
The University of Chicago uses AI-assisted tools to streamline and augment some recruitment processes; however, AI is not used to make hiring decisions.
When applying, the document(s) MUST be uploaded via the My Experience page, in the section titled Application Documents of the application.
Job Family
Research
Role Impact
Individual Contributor
Scheduled Weekly Hours
40
Drug Test Required
No
Health Screen Required
No
Motor Vehicle Record Inquiry Required
No
Pay Rate Type
Salary
FLSA Status
Exempt
Pay Range
$100,000.00 - $150,000.00
The included pay rate or range represents the University’s good faith estimate of the possible compensation offer for this role at the time of posting.
Benefits Eligible
Yes
The University of Chicago offers a wide range of benefits programs and resources for eligible employees, including health, retirement, and paid time off. Information about the benefit offerings can be found in the Benefits Guidebook.
Posting Statement
The University of Chicago is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity, or expression, national or ethnic origin, shared ancestry, age, status as an individual with a disability, military or veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination.
Job seekers in need of a reasonable accommodation to complete the application process should call 773-702-5800 or submit a request via Applicant Inquiry Form.
All offers of employment are contingent upon a background check that includes a review of conviction history. A conviction does not automatically preclude University employment. Rather, the University considers conviction information on a case-by-case basis and assesses the nature of the offense, the circumstances surrounding it, the proximity in time of the conviction, and its relevance to the position.
The University of Chicago's Annual Security & Fire Safety Report (Report) provides information about University offices and programs that provide safety support, crime and fire statistics, emergency response and communications plans, and other policies and information. The Report can be accessed online at: http://securityreport.uchicago.edu. Paper copies of the Report are available, upon request, from the University of Chicago Police Department, 850 E. 61st Street, Chicago, IL 60637.
Department
BSD MED - General Internal Medicine
About the Department
The Precision Health Informatics Lab (PHIL), led by Dr. Joshua Denny, MD, MS, develops and applies computational and informatics methods to translate large-scale genomic and clinical data into actionable insights about human health and disease. The lab's work sits at the intersection of genomics, electronic health record (EHR) data, and population-scale biobank research, with a focus on discovering gene-disease relationships, characterizing the clinical effects of genetic variation, and enabling precision medicine applications. A growing part of this work involves machine learning, large language models, and generative AI, which the lab uses to extract identify patterns across heterogeneous data sources and accelerate the pace of genomic discovery.
A central focus of the lab is phenomics, the integrative use of EHR-derived and survey-based phenotype data to power genetic and multiomic discovery. The lab develops and applies methods such as phenome-wide association studies (PheWAS), which test genetic variants against the full breadth of clinical phenotypes captured in health records, as well as traditional genome-wide association study (GWAS) approaches on complex phenotypes. PHIL builds and maintains computable phenotype algorithms, reproducible, data-driven definitions of disease states, drug effects, and other clinical conditions, that integrate EHR data, survey responses, and other health data sources.
We also seek to use large scale biobank data to uncover novel gene functions and previously unrecognized genetic diseases, an undertaking that depends on integrating genomic data with clinical, phenotypic, and knowledge-base resources at scale. PHIL collaborates broadly with clinical, genomic, and computational investigators to support biobank-scale studies, and is building a team of programmers, analysts, and scientists to sustain and expand this work.
Job Summary
The Senior Biomedical Informatics Programmer is integral to the ongoing operations of the Precision Health Informatics Lab (PHIL), providing critical scientific and bioinformatics programming support to enable large-scale biobank studies. This role will design, optimize, and maintain production-grade pipelines that connect genomic, phenotypic, and clinical data to support gene-disease discovery at scale, including studies using deep clinical characterization of individuals with rare genetic variants to uncover novel gene functions and genetic diseases.
Responsibilities
- Optimize and maintain best-practice pipelines for gene-disease association analyses, including genome-wide association studies (GWAS) and phenome-wide association studies (PheWAS).
- Build and refine computable phenotype algorithms for diseases, drug effects, and other clinical conditions by integrating EHR data with survey-based data sources.
- Develop scripts, pipelines, and software to analyze diverse health-related datasets, combining data across orthogonal sources — including EHR data, environmental exposures, and taxonomic/knowledge resources such as OMIM, the Human Phenotype Ontology, and DrugBank — to support genomic analyses.
- Provide broad-based programming and analytic support across a range of informatics and genomics research projects, including custom script development for analysis of public datasets and lab-generated data.
- Support the computational infrastructure underlying studies of rare genetic variants, helping enable discovery of novel gene functions and genetic diseases through clinical characterization.
- Collaborate with scientists, clinicians, and analysts to ensure pipelines are reliable, reproducible, and scalable for biobank-level data volumes.
- Generate public use resources.
- Leads implementation or modification of existing web-based bioinformatics tools.
- Provides expertise to biomedical informatics related concepts, applications, and tools.
- Performs other related work as needed.
Minimum Qualifications
Education:
Minimum requirements include a college or university degree in related field.
Work Experience:
Minimum requirements include knowledge and skills developed through 7+ years of work experience in a related job discipline.
Certifications:
Preferred Qualifications
Education:
- Advanced degree (MS or PhD preferred) in bioinformatics, computer science, computational biology, or related field.
Experience:
- Strong programming skills (e.g., Python, R, or similar) and experience building production data pipelines.
- Experience with genomic and/or EHR data formats and analysis (e.g., VCF, FHIR/OMOP, PheWAS/GWAS methods).
- Familiarity with biomedical ontologies and knowledge bases (OMIM, HPO, DrugBank).
- Experience working with large-scale biobank or clinical datasets.
Preferred Competencies
- Excellent verbal and written communication skills.
- Excellent interpersonal and customer service skills.
- Excellent organizational skills, ability to maintain files.
- Proficiency with word processing applications, preparing presentations, spreadsheets and databases.
- Ability to maintain calm and courteous demeanor and to work productively despite heavy workload, competing priorities, complex problems, and tight deadlines.
- Ability to exercise sound judgment and excellent problem-solving skills.
- Ability to exercise flexibility and contribute to the overall work of the team.
- Considerable skill in working both independently and as a team member.
- Ability to take initiative.
Application Documents
- Resume/CV (required)
- Cover Letter (required)
The University of Chicago uses AI-assisted tools to streamline and augment some recruitment processes; however, AI is not used to make hiring decisions.
When applying, the document(s) MUST be uploaded via the My Experience page, in the section titled Application Documents of the application.
Job Family
Research
Role Impact
Individual Contributor
Scheduled Weekly Hours
40
Drug Test Required
No
Health Screen Required
No
Motor Vehicle Record Inquiry Required
No
Pay Rate Type
Salary
FLSA Status
Exempt
Pay Range
$100,000.00 - $150,000.00
The included pay rate or range represents the University’s good faith estimate of the possible compensation offer for this role at the time of posting.
Benefits Eligible
Yes
The University of Chicago offers a wide range of benefits programs and resources for eligible employees, including health, retirement, and paid time off. Information about the benefit offerings can be found in the Benefits Guidebook.
Posting Statement
The University of Chicago is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity, or expression, national or ethnic origin, shared ancestry, age, status as an individual with a disability, military or veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination.
Job seekers in need of a reasonable accommodation to complete the application process should call 773-702-5800 or submit a request via Applicant Inquiry Form.
All offers of employment are contingent upon a background check that includes a review of conviction history. A conviction does not automatically preclude University employment. Rather, the University considers conviction information on a case-by-case basis and assesses the nature of the offense, the circumstances surrounding it, the proximity in time of the conviction, and its relevance to the position.
The University of Chicago's Annual Security & Fire Safety Report (Report) provides information about University offices and programs that provide safety support, crime and fire statistics, emergency response and communications plans, and other policies and information. The Report can be accessed online at: http://securityreport.uchicago.edu. Paper copies of the Report are available, upon request, from the University of Chicago Police Department, 850 E. 61st Street, Chicago, IL 60637.
See all 36+ 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.