Improving patient health outcomes, optimizing healthcare processes, and advancing science at the University of Wisconsin School of Medicine and Public Health
Requirements
- Biostatistics, Machine Learning, & Experimental Design: A strong foundation in biostatistics, machine learning, and study design
- Specialized Technical Experience: Demonstrated experience in at least one of the following areas: Medical Imaging, NLP/EHR Data
- Programming: Proficiency in Python and deep learning frameworks (PyTorch, PyTorch Lightning, or TensorFlow/Keras)
- Experience with Vision Models (e.g., ResNet, EfficientNet, ViT, MONAI) for classification, segmentation, or detection tasks
- Experience applying NLP techniques (e.g., Transformers, spaCy, LLMs) to extract insights from unstructured text or Electronic Health Records
- Knowledge of healthcare data standards, common data models, and terminologies (e.g., OMOP, mCode, FHIR, HL7, ICD-10, CPT)
- Familiarity with R for statistical analysis and SQL for data querying
Responsibilities
- Multi-Modal Pipeline Development: Develop and implement informatics pipelines for the processing, integration, and harmonization of heterogeneous data sources
- Statistical Modeling & Hypothesis Testing: Develop predictive models using retrospective real-world data to estimate disease risk, progression, and treatment effectiveness
- Imaging Analysis: Analyze imaging datasets using advanced computational methods and Vision Models to identify patterns in complex biological data
- NLP & EHR Analysis: Leverage modern NLP frameworks and LLMs to extract critical insights from unstructured clinical notes and reports
- Consultation & Capacity Building: Act as a technical consultant for the research community, translating complex model outputs into actionable scientific insights
- Organizes and automates project steps for data preparation and analysis
- Develops and optimizes advanced computational algorithms using Artificial Intelligence (AI), Machine Learning (ML), regression, and rules-based models
Other
- Terminal Degree preferred, MD or PhD with a focus in Computer Science, Data Science, Clinical Informatics, Bioinformatics, Epidemiology, Biostatistics, Ophthalmology or related disciplines
- Excellent problem-solving skills and attention to detail
- Strong communication skills and ability to work collaboratively in a team environment
- Ability to work in the United States without need of employer sponsorship
- Continuous work eligibility in the United States
