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Data Science Analyst

Job in Augusta, Richmond County, Georgia, 30910, USA
Listing for: Augusta University
Full Time, Part Time position
Listed on 2025-11-26
Job specializations:
  • Business
    Data Scientist, Data Analyst
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: Data Science Analyst 1

Data Science Analyst 1

Job : 292359

Location: Augusta University

Full/Part Time: Full Time

About Us

Augusta University is Georgia's innovation center for education and health care, training the next generation of innovators, leaders, and healthcare providers in classrooms and clinics on four campuses in Augusta and locations across the state. More than 12,000 students choose Augusta for educational opportunities at the center of Georgia's cybersecurity hub and experiential learning that blends arts and application, humanities, and the health sciences.

Augusta is home to Georgia's only public academic health center, where groundbreaking research is creating a healthier, more prosperous Georgia, and world‑class clinicians are bringing the medicine of tomorrow to patient care today. Our mission and values https://(Use the "Apply for this Job" box below). make Augusta University an institution like no other.

Location

Augusta University
Our Health Sciences Campus: 1120 15th Street, Augusta, GA 30912
Our Summerville Campus: 2500 Walton Way, Augusta, GA 30904

College/Department Information

The Medical College of Georgia (MCG) is one of the nation's largest medical schools by class size, with 304 students per class. The MCG educational experience is anchored by the main campus in Augusta, with regional clinical campuses for third‑ and fourth‑year students across the state, and two four‑year campuses located in Athens (in partnership with the University of Georgia) and in Savannah (in partnership with Georgia Southern University).

MCG’s expanding partnerships with physicians and hospitals across Georgia currently provide more than 350 sites where students can experience the full spectrum of medicine, from complex care hospitals to small‑town solo practices. MCG and its teaching hospitals also provide postgraduate education to approximately 575 residents and fellows in 50 different Accreditation Council for Graduate Medical Education‑approved programs. Our researchers and clinicians focus on what most impacts the health of Georgia's and America's children and adults, including cardiovascular biology and disease, cancer, neurosciences and behavioral sciences, public and preventive health, regenerative and reparative medicine, personalized medicine and genomics.

Our physician faculty also share their expertise with physicians and patients at about 100 clinics and hospitals statewide.

Job Summary

The Department of AI & Health seeks a Data Scientist 1 to join our growing research unit at a transformative time in healthcare research. This position plays a critical role in advancing our computational capabilities and establishing our department as a leader in AI‑driven health research. You will work on cutting‑edge projects involving medical imaging, electronic health records, genomics, and real‑time patient monitoring data, contributing to high‑impact research in predictive diagnostics, personalized medicine, and clinical decision support systems.

Your work will directly enable grant acquisition, accelerate publication output in top‑tier journals, attract doctoral students and postdoctoral fellows, and establish valuable partnerships with clinical departments and external collaborators seeking robust computational capabilities.

Responsibilities Application Development and Maintenance
  • Design and implement predictive models using AI/ML techniques on structured and unstructured data (e.g., admissions data, EHRs, radiology reports).
  • Work at the intersection of longitudinal machine learning, multi‑modal analysis, clinical informatics, and population health.
  • Conduct comprehensive data preprocessing, feature engineering, and model validation.
  • Evaluate model fairness, bias, and explainability.
  • Translate insights into operational recommendations through dashboards, briefings, and stakeholder presentations.
  • Support strategic initiatives, including student success analytics, department crowding models, and early detection algorithms.
Collaboration and Communication
  • Collaborate with clinicians, educators, and administrators to frame problems, understand data needs, and interpret model outputs.
  • Translate insights into operational recommendations…
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