Bioinformatics Green Card Jobs
Bioinformatics roles qualify for EB-2 and EB-3 green card sponsorship through the PERM labor certification process, where employers document recruitment efforts before filing your I-140 petition. Strong demand from pharma, genomics, and research institutions means sponsorship pathways are active, but PERM timelines require planning well ahead of any status deadline.
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Get Access To All JobsINTRODUCTION
The Bioinformatics Research Scientist/Data Manager will lead a major initiative for the development and implementation of a centralized Data Management Core to support the expanding longitudinal clinical research cohort and associated collaborative studies at the Grossman Center for Memory Research and Care.
This role will establish and lead the infrastructure necessary for secure data inventory, integration, processing, governance, and advanced analytics to support bioinformatics, translational, and clinical research initiatives. The role will have high impact that will enhance data integrity and reproducibility, accelerate bioinformatics discovery, improve competitiveness for NIH center-level funding, enable integration across clinical, imaging, and biomarker platforms, and position the Grossman Center as a data-driven leader in memory research and care.
ROLE AND RESPONSIBILITIES
Work Schedule: Remote, Monday – Friday, 9am – 5pm
60% - Bioinformatics and Biostatistical Data Management:
- Independently design and implement a centralized data repository architecture for clinical, imaging, genomic, biomarker, and survey data.
- Lead and develop a comprehensive Data Management Core strategic plan.
- Lead the development and management of secure data storage solutions compliant with institutional, HIPAA, and IRB standards.
- Lead the development of structured data pipelines for ingestion, transformation, harmonization, and validation.
- Independently develop standardized metadata frameworks and data dictionaries.
- Manage the development of a centralized data inventory catalog.
- Independently develop standard operating procedures (SOPs) for data access, sharing, and governance.
- Manage and implement version control and documentation practices to ensure reproducibility.
- Collaborate with institutional IT and compliance offices to ensure regulatory adherence.
- Work closely with clinical research coordinators, biostatisticians, and collaborating institutions.
25% - Bioinformatics and biostatistical analysis of multi-Omics datasets:
- Lead the development and implementation of standardized data ingestion and QC pipelines for the longitudinal cohort study. This includes the automated workflows for preprocessing and quality control of:
- Longitudinal clinical data
- Neuroimaging data
- Biospecimen-linked datasets
- Genomic and multi-omics data
- Provide subject matter expertise on statistical modeling, machine learning, and data mining projects.
- Facilitate integration of cohort data with external collaborative datasets.
- Provide analytic consultation for investigators developing grants and manuscripts.
- Work closely with clinical research coordinators, biostatisticians, and collaborating institutions.
- Harmonize multi-site datasets to ensure consistency and interoperability.
- Provide subject matter expertise on data sharing initiatives and preparation of datasets for grant submissions and publications.
10% - Training others in the lab and center for utilizing biocomputational pipelines:
- Independently provide data mining tutorial pipeline establishment for trainees to learn and use.
- Lead routine bimonthly workshops for trainees to learn data processing and analysis.
- Lead biweekly meetings to monitor trainees’ progress.
- Lead the development and implementation of a documented data governance and SOP framework.
5% - Manuscript preparation and submission:
- Generate analytic reports, dashboards, and visualizations to support leadership decision-making.
- Contribute to NIH and foundation grant proposals, including sections on data management and analytic plans.
- Support preparation of manuscripts and conference presentations.
- Independently create integrated analytic datasets supporting a bioinformatics project or grant application.
BASIC QUALIFICATIONS
- An Advanced Degree with substantial research and publication record.
- Extensive bioinformatics and biostatistical experience including NGS data analysis, including RNA-seq, scRNA-seq, Spatial Transcriptomics (10xVisium, Nanostring GeoMx), ChIP–seq, ATAC-seq, Cut&Run/Tag, scATAC-seq, Infinium MethylationEPIC Array, WGBS, MS/MS, CyTOF, Hi-C, WGS/WES dataset, Proteomics, Lipidomics/Metabolomics; Strong background in R and Python programming, and statistical analysis.
- Data management responsibilities including building center data storage platform, data process, format and standardization, data upload, data warehouse maintenance and distribution.
- Bioinformatics training: data mining tutorial pipelines, and routine workshops for trainees to learn data processing and analysis.
PREFERRED QUALIFICATIONS
- Knowledgeable about wet lab experiments; Linux and cluster computing environment; multi-project management.
To learn more about the Department of Neurology, please visit https://med.umn.edu/neurology.
Applications must be submitted online. To be considered for this position, please click the Apply button and follow the instructions. You will be given the opportunity to complete an online application for the position and attach a cover letter and resume.
Additional documents may be attached after application by accessing your "My Job Applications" page and uploading documents in the "My Cover Letters and Attachments" section.
To request an accommodation during the application process, please e-mail employ@umn.edu or call (612) 624-8647.
The University recognizes and values the importance of diversity and inclusion in enriching the employment experience of its employees and in supporting the academic mission. The University is committed to attracting and retaining employees with varying identities and backgrounds.
The University of Minnesota provides equal access to and opportunity in its programs, facilities, and employment without regard to race, color, creed, religion, national origin, gender, age, marital status, disability, public assistance status, veteran status, sexual orientation, gender identity, or gender expression. To learn more about diversity at the U: http://diversity.umn.edu
Any offer of employment is contingent upon the successful completion of a background check. Our presumption is that prospective employees are eligible to work here. Criminal convictions do not automatically disqualify finalists from employment.
LOCATION
The University of Minnesota, Twin Cities (UMTC)
The University of Minnesota, Twin Cities (UMTC), is among the largest public research universities in the country, offering undergraduate, graduate, and professional students a multitude of opportunities for study and research. Located at the heart of one of the nation's most vibrant, diverse metropolitan communities, students on the campuses in Minneapolis and St. Paul benefit from extensive partnerships with world-renowned health centers, international corporations, government agencies, and arts, nonprofit, and public service organizations.
At the University of Minnesota, we are proud to be recognized by the Star Tribune as a Top Workplace for 2021, as well as by Forbes as Best Employers for Women and one of America’s Best Employers (2015, 2018, 2019, 2023), Best Employer for Diversity (2019, 2020), Best Employer for New Grads (2018, 2019), and Best Employer by State (2019, 2022).
INTRODUCTION
The Bioinformatics Research Scientist/Data Manager will lead a major initiative for the development and implementation of a centralized Data Management Core to support the expanding longitudinal clinical research cohort and associated collaborative studies at the Grossman Center for Memory Research and Care.
This role will establish and lead the infrastructure necessary for secure data inventory, integration, processing, governance, and advanced analytics to support bioinformatics, translational, and clinical research initiatives. The role will have high impact that will enhance data integrity and reproducibility, accelerate bioinformatics discovery, improve competitiveness for NIH center-level funding, enable integration across clinical, imaging, and biomarker platforms, and position the Grossman Center as a data-driven leader in memory research and care.
ROLE AND RESPONSIBILITIES
Work Schedule: Remote, Monday – Friday, 9am – 5pm
60% - Bioinformatics and Biostatistical Data Management:
- Independently design and implement a centralized data repository architecture for clinical, imaging, genomic, biomarker, and survey data.
- Lead and develop a comprehensive Data Management Core strategic plan.
- Lead the development and management of secure data storage solutions compliant with institutional, HIPAA, and IRB standards.
- Lead the development of structured data pipelines for ingestion, transformation, harmonization, and validation.
- Independently develop standardized metadata frameworks and data dictionaries.
- Manage the development of a centralized data inventory catalog.
- Independently develop standard operating procedures (SOPs) for data access, sharing, and governance.
- Manage and implement version control and documentation practices to ensure reproducibility.
- Collaborate with institutional IT and compliance offices to ensure regulatory adherence.
- Work closely with clinical research coordinators, biostatisticians, and collaborating institutions.
25% - Bioinformatics and biostatistical analysis of multi-Omics datasets:
- Lead the development and implementation of standardized data ingestion and QC pipelines for the longitudinal cohort study. This includes the automated workflows for preprocessing and quality control of:
- Longitudinal clinical data
- Neuroimaging data
- Biospecimen-linked datasets
- Genomic and multi-omics data
- Provide subject matter expertise on statistical modeling, machine learning, and data mining projects.
- Facilitate integration of cohort data with external collaborative datasets.
- Provide analytic consultation for investigators developing grants and manuscripts.
- Work closely with clinical research coordinators, biostatisticians, and collaborating institutions.
- Harmonize multi-site datasets to ensure consistency and interoperability.
- Provide subject matter expertise on data sharing initiatives and preparation of datasets for grant submissions and publications.
10% - Training others in the lab and center for utilizing biocomputational pipelines:
- Independently provide data mining tutorial pipeline establishment for trainees to learn and use.
- Lead routine bimonthly workshops for trainees to learn data processing and analysis.
- Lead biweekly meetings to monitor trainees’ progress.
- Lead the development and implementation of a documented data governance and SOP framework.
5% - Manuscript preparation and submission:
- Generate analytic reports, dashboards, and visualizations to support leadership decision-making.
- Contribute to NIH and foundation grant proposals, including sections on data management and analytic plans.
- Support preparation of manuscripts and conference presentations.
- Independently create integrated analytic datasets supporting a bioinformatics project or grant application.
BASIC QUALIFICATIONS
- An Advanced Degree with substantial research and publication record.
- Extensive bioinformatics and biostatistical experience including NGS data analysis, including RNA-seq, scRNA-seq, Spatial Transcriptomics (10xVisium, Nanostring GeoMx), ChIP–seq, ATAC-seq, Cut&Run/Tag, scATAC-seq, Infinium MethylationEPIC Array, WGBS, MS/MS, CyTOF, Hi-C, WGS/WES dataset, Proteomics, Lipidomics/Metabolomics; Strong background in R and Python programming, and statistical analysis.
- Data management responsibilities including building center data storage platform, data process, format and standardization, data upload, data warehouse maintenance and distribution.
- Bioinformatics training: data mining tutorial pipelines, and routine workshops for trainees to learn data processing and analysis.
PREFERRED QUALIFICATIONS
- Knowledgeable about wet lab experiments; Linux and cluster computing environment; multi-project management.
To learn more about the Department of Neurology, please visit https://med.umn.edu/neurology.
Applications must be submitted online. To be considered for this position, please click the Apply button and follow the instructions. You will be given the opportunity to complete an online application for the position and attach a cover letter and resume.
Additional documents may be attached after application by accessing your "My Job Applications" page and uploading documents in the "My Cover Letters and Attachments" section.
To request an accommodation during the application process, please e-mail employ@umn.edu or call (612) 624-8647.
The University recognizes and values the importance of diversity and inclusion in enriching the employment experience of its employees and in supporting the academic mission. The University is committed to attracting and retaining employees with varying identities and backgrounds.
The University of Minnesota provides equal access to and opportunity in its programs, facilities, and employment without regard to race, color, creed, religion, national origin, gender, age, marital status, disability, public assistance status, veteran status, sexual orientation, gender identity, or gender expression. To learn more about diversity at the U: http://diversity.umn.edu
Any offer of employment is contingent upon the successful completion of a background check. Our presumption is that prospective employees are eligible to work here. Criminal convictions do not automatically disqualify finalists from employment.
LOCATION
The University of Minnesota, Twin Cities (UMTC)
The University of Minnesota, Twin Cities (UMTC), is among the largest public research universities in the country, offering undergraduate, graduate, and professional students a multitude of opportunities for study and research. Located at the heart of one of the nation's most vibrant, diverse metropolitan communities, students on the campuses in Minneapolis and St. Paul benefit from extensive partnerships with world-renowned health centers, international corporations, government agencies, and arts, nonprofit, and public service organizations.
At the University of Minnesota, we are proud to be recognized by the Star Tribune as a Top Workplace for 2021, as well as by Forbes as Best Employers for Women and one of America’s Best Employers (2015, 2018, 2019, 2023), Best Employer for Diversity (2019, 2020), Best Employer for New Grads (2018, 2019), and Best Employer by State (2019, 2022).
See all 73+ Bioinformatics jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Bioinformatics roles.
Get Access To All JobsTips for Finding Green Card Sponsorship in Bioinformatics
Match your degree to SOC codes
Bioinformatics sits at the intersection of computer science and biology, and PERM requires a tight degree-to-role match. A computational biology or bioinformatics degree maps more cleanly to SOC 15-1221 than a generic CS degree, which can draw DOL audits.
Target employers with active PERM filings
Pharmaceutical companies, genomics firms, and research universities run recurring PERM cycles for bioinformatics talent. Search the OFLC Wage Search to confirm whether a target employer has certified bioinformatics applications in the past two years before investing time in their pipeline.
Search green card sponsor roles on Migrate Mate
Use Migrate Mate to filter bioinformatics positions by employers who have filed EB-2 or EB-3 petitions, so you're applying where PERM infrastructure already exists rather than asking an employer to build a sponsorship process from scratch.
Request EB-2 classification during offer negotiation
If your role genuinely requires an advanced degree, push for EB-2 at the offer stage. EB-2 lets you bypass EB-3 queue backlogs for most nationalities. Get the job description written to reflect master's-level analytical requirements, not just bachelor's minimums, before PERM recruitment begins.
Document publication and project credentials early
USCIS adjudicators scrutinize whether bioinformatics candidates meet the specialty occupation standard. Gather peer-reviewed publications, conference presentations, and proprietary pipeline documentation before your employer files. These records strengthen both the PERM audit file and your I-140 petition.
Understand priority date backlogs before accepting an offer
EB-3 is current for most nationalities, but EB-2 India and China face multi-year waits. Check the Visa Bulletin priority date movement before accepting a role, since your green card timeline could stretch significantly depending on your country of birth.
Bioinformatics jobs are hiring across the US. Find yours.
Find Bioinformatics JobsBioinformatics Green Card Sponsorship: Frequently Asked Questions
Does bioinformatics qualify as a specialty occupation for green card sponsorship?
Yes. Bioinformatics roles require at minimum a bachelor's degree in a specific technical field, which satisfies the specialty occupation standard under USCIS guidelines. Most positions map to life sciences or computer science SOC codes. Roles requiring advanced statistical modeling or genomic pipeline design typically qualify for EB-2 given the master's-level analytical depth involved.
How does green card sponsorship through PERM differ from H-1B for bioinformatics professionals?
H-1B is temporary, subject to the annual 85,000-slot lottery, and must be renewed every three years. PERM-based EB-2 or EB-3 sponsorship is permanent and has no lottery. The tradeoff is time: PERM labor certification alone takes six to twelve months on average, and the full green card process can extend two to four years before you receive status.
Which employers actively sponsor green cards for bioinformatics roles?
Pharmaceutical companies such as Pfizer, Genentech, and Regeneron, genomics platforms, academic medical centers, and federally funded research institutions run the most consistent EB-2 and EB-3 PERM programs for bioinformatics talent. You can search Migrate Mate to filter specifically for employers with green card filing history in computational biology and bioinformatics job titles.
Can I switch bioinformatics jobs while my green card is pending?
Yes, under AC21 portability you can change employers after your I-140 is approved and your I-485 adjustment of status application has been pending for 180 days. The new role must be in the same or similar occupational classification. For bioinformatics professionals, roles within the same SOC family typically satisfy this standard, but your employer's immigration counsel should confirm.
What credentials strengthen my PERM petition for a bioinformatics position?
Peer-reviewed publications, patents, contributions to open-source bioinformatics tools, and documentation of proprietary pipeline development all support the specialty occupation argument and your employer's prevailing wage position. The O*NET profile for bioinformatics scientists lists analytical and domain skills that your resume and supporting letters should directly reflect to reduce the risk of a DOL audit. Migrate Mate can help you identify roles where employers already have PERM certification experience, reducing the administrative burden on both sides.
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