Data Science Analyst

Job Title: Data Science Analyst 1

Location: Augusta University

Regular/Temporary: Regular

Full/Part Time: Full-Time

Job : 292359

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.

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.

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/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.

All selected candidates are required to successfully pass a Background Check review prior to starting with Augusta University.

If applicable for the specific position based on the duties: the candidate will also need to have a credit check completed for Positions of Trust and/or approved departmental Purchase Card usage.

Motor vehicle reports are required for positions that are required to drive an Augusta University vehicle.

For Faculty Hires:
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