Clemson University's CDC DMA-PRIME center grant requires assistance in carrying out its activities, specifically needing expertise in analytic skill sets (statistical analysis, data management) and knowledge of infectious diseases to handle large and complex datasets for infectious disease research.
Requirements
- analytic skill sets (statistical analysis, data management)
- knowledge of infectious diseases
- experience in handling large and complex data sets
- experience and interest in infectious disease research
- computer science, public health, statistics or similar field
- experience in research
- Master's Degree - computer science, public health, statistics or similar field
Responsibilities
- Designs, implements, and validates constraint-aware and knowledge-injected machine learning models for disease prediction and healthcare analytics.
- Develops robust and interpretable models that align with real-world epidemiological patterns.
- Translates conceptual frameworks into deployable analytical tools that can inform public health decision-making.
- Applies domain constraints to improve model stability, reliability, and fairness across diverse populations.
- Curates, pre-processes, and integrates multimodal datasets (e.g., surveillance, vaccination, social media) to support modeling and interpretation efforts.
- Develops and documents ETL pipelines for integrating data from heterogeneous sources.
- Conducts quality assurance, feature engineering, and metadata harmonization to ensure the reproducibility and interpretability of AI models.
Other
- Works closely with interdisciplinary teams across Clemson, MUSC, and partner institutions to support ongoing projects and ensure scientific rigor.
- Participates in multi-institutional research meetings, contribute to manuscript and grant development, and coordinate joint data and model sharing efforts.
- Engages in discussions that connect data-driven insights with public health implications and operational relevance.
- Writes and publishes papers.
- Assists in preparing manuscripts for peer-reviewed journals, contributes to technical documentation, and presents research progress at professional meetings and internal seminars.
