Augusta University logo
Augusta University
Posted 128 days agoVerified live 4d ago

Data Science Analyst 1

Brief overview

Augusta, GAIn-person
MastersOr in progress
$49k–$61k/yrStated range
1+ yrsMinimum
Cap-exemptNo H-1B lottery
183 H-1B approvalsDept. of Labor
13 green cardsCertified filings
Machine learningStatistical analysisData pipeline developmentPredictive modelingGrant writingScientific writingReproducible research workflowsData visualizationStakeholder communicationProblem framing with interdisciplinary teams

About the company

Augusta University logo
Augusta Universityaugusta.edu

Augusta University offers opportunities #LikeNoOther through groundbreaking research, patient-centered clinical expertise and forward-thinking educational programs from three campuses in the beautiful Southern city of Augusta, Georgia, and satellite locations across the state.

Visa sponsorship history

4 years sponsoring, last filed FY2026Cap-exempt

Data powered by U.S. Department of Labor. This does not guarantee sponsorship for this specific role.
183H-1B approved
99%approval rate
91new H-1B hires
13PERM certified
$67,000median wage / yr
H-1B Petition ApprovalsVisas USCIS actually granted: the strongest sign the company sponsors.
202360
202455
202560
20268
LCA Certified ApplicationsAn early filing step, not a visa approval: it signals intent, not confirmed sponsorship.
202315
202413
202516
202610
Green Card (PERM) FilingsCertified green card filings: a long-term commitment to international hires.
20241
202512
Top sponsored roles
Assistant ProfessorPostdoctoral FellowAssistant Research ScientistResearch AssociateResearch Scientist
Sponsored employees from
Saudi Arabia

Job description

Summary

Augusta University is Georgia's innovation center for education and health care, and they are seeking a Data Science Analyst 1 to support the expansion of the department's computational capabilities and the development of AI-driven health research initiatives. The role involves analyzing complex healthcare datasets, collaborating with clinical researchers, and contributing to grant proposals and scientific publications.

Responsibilities

  • Apply machine learning and statistical methods to analyze complex healthcare datasets
  • Collaborate with clinical researchers and faculty to design and implement data-driven research projects
  • Develop and maintain data pipelines for processing medical imaging, EHR data, genomics, and patient monitoring data
  • Contribute to grant proposals and scientific publications
  • Support the development of predictive models for clinical applications
  • Participate in collaborative research initiatives with clinical departments
  • Document methodologies and create reproducible analysis workflows
  • Present findings to research teams and at scientific conferences
  • Collaborate with clinicians, educators, and administrators to frame problems, understand data needs, and interpret model outputs
  • Translate insights into operational recommendations through dashboards, briefings, and stakeholder presentations

Skills

  • Master's degree from an accredited college or university in Computer Science, Biomedical Informatics, Statistics, Engineering, or a related field
  • OR
  • Bachelor's degree from an accredited college or university in Computer Science, Biomedical Informatics, Statistics, Engineering, or a related field and one year of related experience
  • Prior involvement in healthcare, academic operations, or public sector analytics
  • Familiarity with EHR systems (Epic, Encompass) or academic admissions systems (AMCAS)
  • Experience Working With Clinical, Academic, Or Institutional Datasets Preferred
  • Excellent communication skills and ability to translate complex technical findings for non-technical stakeholders

Qualifications

Must Haves

  • Master's degree from an accredited college or university in Computer Science, Biomedical Informatics, Statistics, Engineering, or a related field
  • OR
  • Bachelor's degree from an accredited college or university in Computer Science, Biomedical Informatics, Statistics, Engineering, or a related field and one year of related experience

Nice to Haves

  • Prior involvement in healthcare, academic operations, or public sector analytics
  • Familiarity with EHR systems (Epic, Encompass) or academic admissions systems (AMCAS)
  • Experience Working With Clinical, Academic, Or Institutional Datasets Preferred
  • Excellent communication skills and ability to translate complex technical findings for non-technical stakeholders

Benefits

  • Health insurance
  • Dental insurance
  • Life insurance
  • Teachers Retirement System (or Optional Retirement Plan)
  • Earned vacation time
  • Sick leave
  • 13 paid holidays
  • Tuition Assistance Program for full-time employees who have been employed with us successfully for more than 6 months

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