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Inside Higher Ed · 2 weeks ago

Data Science Analyst 1

Augusta, GA

Full-time

Onsite

Entry Level

$49K/yr - $50K/yr

1+ years exp

Augusta University is Georgia's innovation center for education and health care, training the next generation of innovators and leaders. The Data Scientist 1 role is critical for advancing computational capabilities in AI-driven health research, focusing on projects involving medical imaging, electronic health records, and real-time patient monitoring data.

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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

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

Qualification

Machine LearningNatural Language ProcessingPythonData Manipulation LibrariesEHR SystemsStatistical AnalysisCommunicationCollaboration Skills

Required

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

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)

Excellent communication skills and ability to translate complex technical findings for non-technical stakeholders