STEM OPT Biostatistician Jobs
Biostatistician roles in clinical research, public health, and pharma qualify for the 24-month STEM OPT extension if your degree is in statistics, biostatistics, mathematics, or a related STEM CIP code. Your employer must be enrolled in E-Verify, and you'll need a signed I-983 training plan before your extension starts.
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Charlottesville, Virginia, United States of America
INTRODUCTION
The Department of Genome Sciences at the University of Virginia School of Medicine seeks a Biostatistician. The Biostatistician will work in the lab of Dr. Ani Manichaikul on statistical analysis of human genetic and molecular ‘omics studies. Analytical responsibilities will include analysis of genomic, proteomic and metabolomics data, bulk and single-cell transcriptomics data, quantitative trait locus mapping of gene expression, protein and metabolite measures, and integrative genetic analysis of common and rare disease variants. Collaborative efforts will include an emphasis on post-GWAS studies including whole genome sequence analysis, targeted analysis of candidate genes, and integrative analysis of genomic and transcriptomic data in studies of heart failure, chronic obstructive pulmonary disease, idiopathic pulmonary fibrosis, cardiovascular disease, and atherosclerosis.
ROLE AND RESPONSIBILITIES
Specific duties:
- Write Statistical Computer Programs with R or Python:
- Enhance data visualization for interpretation of molecular ‘omics analysis
- Conduct data automation and reporting, including:
- Develop automated data input workflows in R, enabling integration of future data into tables and figures without requiring manual code modifications
- Create codes to looping structures to extract/display data summaries
- Build downloadable report tables with R/Markdown and PDF export options, allowing users to save structured data directly from HTML reports
- Enhance HTML report usability by creating scrollable tables, ensuring optimal viewing and navigation within web-based reports
- Generate reports in PowerPoint (PPTX) & HTML formats for different presentation and sharing needs
- Review statistical analysis output for consistency & quality
- Research projects:
- Expression quantitative trait locus (eQTL) mapping for RNA-seq data from heart failure cases and controls
- Integration of eQTL with genome-wide association study (GWAS) data to identify molecular mechanisms underlying GWAS loci
- Calculation and interpretation of polygenic risk scores in the context of selected GWAS and Mendelian genetic loci for heart failure and related diseases
- High performance computing (HPC) to analyze large-scale data sets
- Write methods and results sections of reports & publications
- Develop statistical designs, power calculations, and planned analyses for research grant proposals
- Develop & implement new innovative procedures in data collection, quality control, presentation of results, & statistical analyses
- Prioritize tasks
- Work independently to perform programming, select methods, and ensure quality of work
- Other duties as assigned
MINIMUM QUALIFICATIONS
Education: Master's degree
PREFERRED QUALIFICATIONS
- Education: Master's or higher degree in Biostatistics, Genetics, Epidemiology, or a related field with substantial coursework in the field(s) of interest
- Experience with statistical software (R or Python); a strong work ethic; the ability to work independently combined with willingness to work in a highly interactive and collegial group; and excellent written and oral communication skills. Additional desired qualifications include experience working with large-scale multi-center studies; working knowledge of existing tools for genetic analysis and data management; Unix shell scripting; and experience working in a Unix / Linux environment
PHYSICAL DEMANDS
This is primarily a sedentary job involving extensive use of desktop computers.
COMPENSATION
The anticipated hiring range is $75,000–$90,000, commensurate with education and experience.
This is an exempt-level, benefited position. Learn more about UVA benefits.
This is a restricted position, which is dependent on funding and is contingent upon funding availability.
This position is based in Charlottesville, VA, and must be performed fully on-site.
To learn more about UVA and the Charlottesville area, visit UVA Life and Embark CVA.
Application review will begin after January 31, 2025.
Background checks and pre-employment health screenings will be conducted on all new hires prior to employment.
HOW TO APPLY
Please apply online, by searching for requisition number R0079983. Complete an application with the following documents:
- Resume
- Cover Letter
Upload all materials into the resume submission field. You can submit multiple documents into this one field or combine them into one PDF. Applications without all required documents will not receive full consideration.
Internal applicants: Search and apply for jobs on the UVA Internal Careers website.
Reference checks will be completed by UVA’s third-party partner, SkillSurvey, during the final phase of the interview. Five references will be requested, with at least three responses required.
For questions about the position, please contact Ani Manichaikul, am3xa@virginia.edu.
For questions about the application process, please contact Jessica Russo, Senior Recruiter, sxv9zv@virginia.edu.
The University of Virginia is an equal opportunity employer. All interested persons are encouraged to apply, including veterans and individuals with disabilities. Learn more about UVA’s commitment to non-discrimination and equal opportunity employment.
COMPANY
The Rector & Visitors of the University of Virginia
HIRING TYPE
Full time
LOCATION
Charlottesville, Virginia, United States of America
INTRODUCTION
The Department of Genome Sciences at the University of Virginia School of Medicine seeks a Biostatistician. The Biostatistician will work in the lab of Dr. Ani Manichaikul on statistical analysis of human genetic and molecular ‘omics studies. Analytical responsibilities will include analysis of genomic, proteomic and metabolomics data, bulk and single-cell transcriptomics data, quantitative trait locus mapping of gene expression, protein and metabolite measures, and integrative genetic analysis of common and rare disease variants. Collaborative efforts will include an emphasis on post-GWAS studies including whole genome sequence analysis, targeted analysis of candidate genes, and integrative analysis of genomic and transcriptomic data in studies of heart failure, chronic obstructive pulmonary disease, idiopathic pulmonary fibrosis, cardiovascular disease, and atherosclerosis.
ROLE AND RESPONSIBILITIES
Specific duties:
- Write Statistical Computer Programs with R or Python:
- Enhance data visualization for interpretation of molecular ‘omics analysis
- Conduct data automation and reporting, including:
- Develop automated data input workflows in R, enabling integration of future data into tables and figures without requiring manual code modifications
- Create codes to looping structures to extract/display data summaries
- Build downloadable report tables with R/Markdown and PDF export options, allowing users to save structured data directly from HTML reports
- Enhance HTML report usability by creating scrollable tables, ensuring optimal viewing and navigation within web-based reports
- Generate reports in PowerPoint (PPTX) & HTML formats for different presentation and sharing needs
- Review statistical analysis output for consistency & quality
- Research projects:
- Expression quantitative trait locus (eQTL) mapping for RNA-seq data from heart failure cases and controls
- Integration of eQTL with genome-wide association study (GWAS) data to identify molecular mechanisms underlying GWAS loci
- Calculation and interpretation of polygenic risk scores in the context of selected GWAS and Mendelian genetic loci for heart failure and related diseases
- High performance computing (HPC) to analyze large-scale data sets
- Write methods and results sections of reports & publications
- Develop statistical designs, power calculations, and planned analyses for research grant proposals
- Develop & implement new innovative procedures in data collection, quality control, presentation of results, & statistical analyses
- Prioritize tasks
- Work independently to perform programming, select methods, and ensure quality of work
- Other duties as assigned
MINIMUM QUALIFICATIONS
Education: Master's degree
PREFERRED QUALIFICATIONS
- Education: Master's or higher degree in Biostatistics, Genetics, Epidemiology, or a related field with substantial coursework in the field(s) of interest
- Experience with statistical software (R or Python); a strong work ethic; the ability to work independently combined with willingness to work in a highly interactive and collegial group; and excellent written and oral communication skills. Additional desired qualifications include experience working with large-scale multi-center studies; working knowledge of existing tools for genetic analysis and data management; Unix shell scripting; and experience working in a Unix / Linux environment
PHYSICAL DEMANDS
This is primarily a sedentary job involving extensive use of desktop computers.
COMPENSATION
The anticipated hiring range is $75,000–$90,000, commensurate with education and experience.
This is an exempt-level, benefited position. Learn more about UVA benefits.
This is a restricted position, which is dependent on funding and is contingent upon funding availability.
This position is based in Charlottesville, VA, and must be performed fully on-site.
To learn more about UVA and the Charlottesville area, visit UVA Life and Embark CVA.
Application review will begin after January 31, 2025.
Background checks and pre-employment health screenings will be conducted on all new hires prior to employment.
HOW TO APPLY
Please apply online, by searching for requisition number R0079983. Complete an application with the following documents:
- Resume
- Cover Letter
Upload all materials into the resume submission field. You can submit multiple documents into this one field or combine them into one PDF. Applications without all required documents will not receive full consideration.
Internal applicants: Search and apply for jobs on the UVA Internal Careers website.
Reference checks will be completed by UVA’s third-party partner, SkillSurvey, during the final phase of the interview. Five references will be requested, with at least three responses required.
For questions about the position, please contact Ani Manichaikul, am3xa@virginia.edu.
For questions about the application process, please contact Jessica Russo, Senior Recruiter, sxv9zv@virginia.edu.
The University of Virginia is an equal opportunity employer. All interested persons are encouraged to apply, including veterans and individuals with disabilities. Learn more about UVA’s commitment to non-discrimination and equal opportunity employment.
COMPANY
The Rector & Visitors of the University of Virginia
HIRING TYPE
Full time
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Get Access To All JobsTips for Finding STEM OPT Authorization in Biostatistician
Confirm your CIP code covers biostatistics
Statistics (27.0502), biostatistics (26.1102), and mathematics (27.01) CIP codes qualify for STEM OPT. Check your degree's CIP code with your DSO before applying to roles, since a mismatch delays your extension request.
Verify E-Verify enrollment before accepting offers
Your employer must be actively enrolled in E-Verify before you submit your STEM OPT extension application. Search the E-Verify employer search tool by company name or employer ID to confirm enrollment status before signing anything.
Target employers with active LCA filings in biostatistics
Use Migrate Mate to filter for employers who have filed Labor Condition Applications for biostatistician and statistician roles. Companies with recent LCA activity have already cleared DOL prevailing-wage requirements and understand the STEM OPT process.
Build your I-983 training plan around quantitative deliverables
USCIS requires the I-983 to list specific learning objectives tied to your STEM degree. Frame each goal around measurable statistical outputs: model validation, trial analysis, or survival analysis tasks your degree prepared you to perform.
Research prevailing wage tiers using OFLC Wage Search
Biostatistician salaries vary sharply by geography and experience level. Run your specific SOC code through OFLC Wage Search before negotiating, so you know what DOL wage levels apply in your target market and can evaluate offers accurately.
Apply early if your OPT end date overlaps cap season
If your STEM OPT runs through September, your work authorization could gap without H-1B cap-gap coverage. File your extension application at least 90 days before your current OPT expires to keep your status continuous during the USCIS adjudication window.
Biostatistician jobs are hiring across the US. Find yours.
Find Biostatistician JobsFrequently Asked Questions
Does a biostatistics or statistics degree qualify for the STEM OPT extension?
Yes. Degrees in biostatistics (CIP 26.1102), statistics (CIP 27.0502), and mathematics (CIP 27.01) all qualify for the 24-month STEM OPT extension. Applied mathematics and data science degrees may also qualify depending on the CIP code your institution assigned. Confirm the exact code with your DSO before submitting the extension request to USCIS, since the CIP code on your I-20 must appear on the official STEM Designated Degree Program list.
Does a biostatistician employer need to be enrolled in E-Verify?
Yes. E-Verify enrollment is a hard requirement for STEM OPT. Your employer must be enrolled before USCIS approves your extension, and they must use E-Verify to confirm your work authorization once you start. Pharmaceutical companies, contract research organizations, and academic medical centers that hire biostatisticians are generally enrolled, but verify directly using the E-Verify employer search before accepting an offer.
What goes into the I-983 training plan for a biostatistician role?
The I-983 must describe how your day-to-day work as a biostatistician connects to your STEM degree. List specific tasks tied to your training: designing statistical analysis plans, implementing survival models, validating clinical trial data, or applying regression techniques. USCIS looks for concrete learning objectives that a statistics or biostatistics degree would prepare you to perform, not a generic job description. Both you and your employer sign the I-983, and your DSO must authorize it before your extension period begins.
How does cap-gap work if my STEM OPT ends during H-1B season?
If your STEM OPT expires between April 1 and September 30 and your employer filed an H-1B petition on your behalf before your OPT end date, cap-gap automatically extends your work authorization through September 30. Your EAD card will show an earlier expiration, but your authorization continues under cap-gap. Carry your expired EAD, your I-797 receipt notice, and your I-20 with the cap-gap notation together as your employment authorization proof during this period.
Where can I find biostatistician employers that hire STEM OPT students?
Migrate Mate filters biostatistician roles by employers with verified E-Verify enrollment and LCA filing history, so you can see which companies have already sponsored students in statistician and quantitative research roles. Pharmaceutical firms, academic medical centers, government health agencies, and clinical research organizations are common sources. Targeting employers with active DOL filings reduces the risk of accepting an offer from a company unfamiliar with the STEM OPT process.
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