PRN - Research Assistant

Saint Louis University • St. Louis, MO

80d

About The Position

Founded in 1818, Saint Louis University is one of the nation’s oldest and most prestigious Catholic universities. SLU, which also has a campus in Madrid, Spain, is recognized for world-class academics, life-changing research, compassionate health care, and a strong commitment to faith and service.

Requirements

• Proficient in Python and ML libraries (scikit-learn, TensorFlow/PyTorch)
• Experience with data-preprocessing tools (pandas, NumPy) and database querying (SQL)
• Familiarity with web frameworks (e.g., Flask/Django, React or similar)
• Knowledge of explainable-AI techniques (SHAP, LIME, partial-dependence plots)
• Strong communication skills and ability to work collaboratively with clinicians and statisticians
• Version control proficiency (Git) and collaborative development workflows

Nice To Haves

• Master’s degree (or enrolled) in Computer Science, Data Science, or related field
• Prior experience in healthcare or biomedical data analysis
• Background in deep generative models and domain-adaptation methods
• Basic understanding of clinical context and pediatric critical-care terminology

Responsibilities

• Clean and pre-process clinical datasets (handling missing values, outliers, ICD-10 and CPT code grouping)
• Implement advanced data imputation methods (e.g., Gaussian Copula)
• Develop and evaluate classification models (Decision Tree, Random Forest, AdaBoost, XGBoost, SVM, Dense Neural Networks)
• Perform feature-selection and importance analyses (permutation tests, correlation analysis)
• Integrate and benchmark generative-modeling approaches
• Design and implement XAI algorithms
• Collaborate with clinicians to validate interpretability outputs
• Contribute to a web-based platform (front-end and back-end) to visualize predictions and model insights
• Build modular, well-documented code for future extensibility

What This Job Offers

• Job Type: Part-time
• Education Level: Master's degree