Augusta University's Department of AI & Health is seeking a Data Scientist to advance computational capabilities and establish the department as a leader in AI-driven health research, focusing on medical imaging, electronic health records, genomics, and real-time patient monitoring data.
Requirements
- 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).
- 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.
Responsibilities
- 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.
Other
- 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.
- Ability to work outside of normal business hours may be required.
- Must successfully pass a Background Check review prior to starting with Augusta University.
- Must have a credit check completed for Positions of Trust and or approved departmental Purchase Card usage, if applicable.
