The University of Wisconsin School of Medicine and Public Health is looking to improve patient health outcomes, optimize healthcare processes, and advance science by implementing advanced data science approaches, conducting cutting-edge data-centric research, and generating real-world evidence.
Requirements
- At least 5 years of image analysis experience
- Experience with Vision Models (such as DenseNet, ResNet, EfficientNet, ConvNext, ViT, SWiN) using convolutional neural networks, vision transformers, and/or vision language models preferably with ophthalmology images.
- Proficiency in Python and deep learning frameworks (PyTorch/PyTorch Lightning or TensorFlow/Keras).
- Experience with Python imaging libraries such as MONAI, OpenCV, and Pillow.
- Experience with statistical analysis and machine learning techniques.
- Familiarity with R for statistical analysis and SQL for data querying.
- Experience applying NLP techniques to extract insights from EHR including clinical notes, reports, and unstructured text data; and develop models for sentiment analysis, entity recognition, and information extraction
Responsibilities
- Develop and implement informatics pipelines for clinical or imaging data processing, integration, and visualization.
- Analyze imaging datasets using advanced computational/bioinformatics methods.
- Apply, develop, and validate statistical, machine learning, or deep learning techniques to identify patterns and insights from complex clinical and biological data.
- Build predictive models to forecast disease risk and progression, health outcomes and treatment effectiveness; and gain actionable insights from model outputs and communicate findings to research community.
- Work closely with data governance and security to ensure compliance with privacy regulations (e.g., NIST, HIPAA) when working with healthcare data; and address bias and fairness issues in AI models when dealing with sensitive health data.
- Keep abreast of emerging trends and advancements in AI research to propose innovative solutions to healthcare challenges.
- Composes and assembles reproducible workflows and reports to clearly articulate patterns to researchers and/or administrators
Other
- Excellent problem-solving skills and attention to detail.
- Strong communication skills and ability to work collaboratively in a team environment.
- Serves as an institutional subject matter expert and liaison to key internal and external stakeholders regarding data science best practices and methodologies and represents the interests of data science
- University sponsorship is not available for this position, including transfers of sponsorship and TN visas.
- The selected applicant will be responsible for ensuring their continuous eligibility to work in the United States (i.e. a citizen or national of the United States, a lawful permanent resident, a foreign national authorized to work in the United States without the need of an employer sponsorship) on or before the effective date of appointment.
