The Center for Artificial Intelligence Research (CAIR) at Wake Forest School of Medicine is seeking an AI Analyst to contribute to interdisciplinary projects that have a measurable impact on healthcare delivery, academic admissions, and institutional efficiency.
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).
- Experience working with clinical, academic, or institutional datasets preferred.
- Familiarity with EHR systems (Epic, Encompass) or academic admissions systems (AMCAS).
- Prior involvement in healthcare, academic operations, or public sector analytics.
Responsibilities
- Design and implement predictive models using AI/ML techniques on structured and unstructured data (e.g., admissions data, EHRs, radiology reports).
- Conduct comprehensive data preprocessing, feature engineering, and model validation.
- Collaborate with clinicians, educators, and administrators to frame problems, understand data needs, and interpret model outputs.
- 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
- Master's or PhD in Data Science, Computer Science, Biomedical Informatics, Statistics, Engineering, or a related field.
- Excellent communication skills and ability to translate complex technical findings for non-technical stakeholders.
- Paid Time Off programs
- Health and welfare benefits such as medical, dental, vision, life, and Short- and Long-Term Disability
