Data Science Analyst

Data Science Analyst 1

Location:

Augusta University, Health Sciences Campus, 1120 15th Street, Augusta, GA 30912

The Department of AI & Health seeks a Data Science Analyst I to support the expansion of the department’s computational capabilities and the development of AI-driven health research initiatives. The role involves working with medical imaging, electronic health records, genomics, and real‑time patient monitoring data to enable predictive diagnostics, personalized medicine, and clinical decision support. Contributions will aid grant development, increase publication output in high‑impact journals, attract doctoral students and postdoctoral fellows, and strengthen collaborations with clinical departments and external partners.

• 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.
• 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.

• 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).

• Demonstrated experience with machine learning, natural language processing (NLP), or AI model development.
• Proficiency in Python, R, and data manipulation libraries (e.g., pandas, scikit‑learn, Tensor Flow/PyTorch).
• Experience working with clinical, academic, or institutional datasets preferred.
• Excellent communication skills and ability to translate complex technical findings for non‑technical stakeholders.

Shift: Days, Monday‑Friday (outside normal business hours may be required). Pay Band: B9 Salary Range: $48,800 to $61,000 annually (commensurate with qualifications). Recruitment Period: 1/21/26 – Until Filled. Benefits:
Health insurance, dental insurance, life insurance, Teachers Retirement System or Optional Retirement Plan, earned vacation time, sick leave, and 13 paid holidays. Full‑time employees with more than 6 months of service may qualify for the Tuition Assistance Program.

• Successful completion of a background check.
• For positions requiring a credit check or approved departmental purchase card usage, a credit check will be required.
• Motor vehicle reports required for positions that require driving an Augusta University vehicle.
• Faculty hires must provide proof of completed academic degree(s) and original transcripts; foreign‑trained candidates must provide an educational/credential evaluation.
• All employees must protect sensitive information by adhering to cybersecurity and privacy policies.

This position promotes a customer‑friendly environment and delivers superior service to patients, students, faculty, and employees. Augusta University is a tobacco‑free environment; the use of tobacco products anywhere on campus is strictly prohibited.

Augusta University is a proud equal opportunity employer welcoming applicants from underrepresented groups, including individuals with disabilities and veterans. For further assistance, please contact 706‑721‑9365.

How to Apply:

Visit https://(Use the "Apply for this Job" box below). and select University Faculty & Staff >
External Applicants for non‑employees or University Faculty & Staff >
Internal Applicants for current employees.