E-3 Visa Biomedical Jobs
Biomedical roles in the U.S., covering medical devices, diagnostics, and research instrumentation, qualify as E-3 specialty occupations when the position requires a relevant bachelor's degree. Australian professionals can secure E-3 visa sponsorship without a lottery, with no cap on annual approvals, and renew indefinitely as long as employment continues.
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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 38+ E-3 Visa Biomedical Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new E-3 Visa Biomedical Jobs.
Get Access To All JobsTips for Finding E-3 Visa Sponsorship in Biomedical
Verify your degree maps to the role
A biomedical engineering or life sciences degree must directly align with the job title on your offer letter. If your Australian three-year bachelor's is questioned, gather transcripts and a credential evaluation showing U.S. equivalency before your consulate appointment.
Target employers with active FDA or IRB relationships
Medical device companies, hospital systems, and contract research organizations with FDA regulatory workflows are familiar with specialty occupation requirements. These employers are more likely to have HR teams that already understand LCA obligations and E-3 visa sponsorship paperwork.
Search for E-3 biomedical roles using Migrate Mate
Migrate Mate filters roles by visa sponsorship type, so you can identify biomedical positions where employers are already open to E-3 candidates. Use Migrate Mate's E-3 filing service to handle your LCA and visa paperwork once you have an offer.
Get your LCA filed before negotiating your start date
Your employer must file and receive a certified Labor Condition Application from DOL before you can apply for your E-3 visa stamp. DOL typically certifies LCAs within seven business days, so build that window into your start date conversation.
Clarify whether your role involves a third-party worksite
Biomedical professionals placed at hospital or clinic sites under a staffing or consulting arrangement require the LCA to list the actual worksite address, not just the employer's headquarters. Mismatched worksite addresses are a common reason E-3 applications face delays at the consulate.
Address STEM credential equivalency early in interviews
Australian biomedical degrees are not always immediately recognized by U.S. HR teams as equivalent to a four-year U.S. bachelor's. Proactively explain that USCIS accepts three-year Australian degrees when the overall academic preparation is comparable to a U.S. degree in the same field.
E-3 Visa Biomedical: Frequently Asked Questions
How do I find biomedical jobs with E-3 visa sponsorship?
Migrate Mate is built specifically for Australian professionals searching for U.S. roles open to E-3 sponsorship. You can filter by job title and visa type to surface biomedical positions, covering medical devices, diagnostics, imaging, and research instrumentation, where employers are already prepared to file an LCA and support an E-3 application.
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 biomedical role qualify as a specialty occupation for the E-3?
Yes, provided the position genuinely requires a bachelor's degree or higher in biomedical engineering, biomedical science, or a closely related field as a minimum requirement. Roles that accept any degree regardless of field, or that treat the degree as preferred rather than required, may not meet USCIS specialty occupation criteria. The job description and offer letter both need to reflect the degree requirement clearly.
How does the E-3 compare to the H-1B for biomedical professionals?
The E-3 has no annual cap and no lottery, so you can apply any time of year once you have an offer. The H-1B visa is capped at 85,000 per year and requires lottery selection, meaning most applicants must wait until the following fiscal year at best. For Australian biomedical professionals, the E-3 is a direct, predictable path that sidesteps the lottery entirely.
Can I change biomedical employers while on an E-3?
Yes, but each new employer must file a fresh LCA with DOL and you'll need a new E-3 visa stamp at a U.S. consulate before you can start work for the new employer. There's no portability provision equivalent to H-1B's 60-day rule, so timing your transition carefully, ideally before your current visa stamp or status expires, is essential.