Data Science Analyst 1
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
The responsibilities include, but are not limited to:
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 through dashboards, briefings, and stakeholder presentations.
Required Qualifications
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.
Preferred Qualifications
Prior involvement in healthcare, academic operations, or public sector analytics.
Familiarity with EHR systems (Epic, Encompass) or academic admissions systems (AMCAS).
Knowledge, Skills, & Abilities
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, TensorFlow/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/Salary/Benefits
Shift: Days/M-F (work outside of normal business hours will likely be required of an employee in an exempt level position)
Pay Band: B9
Salary Range: $48,800/annually - $50,000/annually
Salary to be commensurate with qualifications of the selected candidate within the established range (generally minimum-midpoint) of the position.
Recruitment Period: 11/21/25 - Until Filled
Augusta University offers a variety of benefits to full-time benefits-eligible employees and some of our half-time (or more) employees.
Benefits that may be elected could include health insurance, dental insurance, life insurance, Teachers Retirement System (or Optional Retirement Plan), as well as earned vacation time, sick leave, and 13 paid holidays.
Also, our full-time employees who have been employed with us successfully for more than 6 months can be considered for the Tuition Assistance Program. Consider applying with us today!
How To Apply
Consider applying with us today!
https://www.augusta.edu/hr/jobs/
Select University Faculty & Staff > External Applicants if you are a candidate from outside the university
Select University Faculty & Staff > Internal Applicants if you are a current university employee
If you need further assistance, please contact us at 706-721-9365
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