PRN - Research Assistant

Who is Saint Louis University? 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.

Key Responsibilities:

Data Management
* 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)

Machine Learning and Modeling
* 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

Software Development & Prototyping
* 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

Required Qualifications:

* 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

Preferred Skills:

* 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

Function

Scheduled Weekly Hours:

Saint Louis University is an equal opportunity/affirmative action employer. All qualified candidates will receive consideration for the position applied for without regard to race, color, religion, sex, age, national origin, disability, marital status, sexual orientation, military/veteran status, gender identity, or other non-merit factors. If accommodations are needed for completing the application and/or with the interviewing process, please contact Human Resources at 314-977-5847.