Full job description Current employees: if you are currently employed at any of the universities of wisconsin, log in to workday to apply through the internal application process. Job category: Academic Staff Employment type: Regular Job profile: Data Scientist III Job summary: Are you passionate about improving patient health outcomes, optimizing healthcare processes, and advancing science? Join our dynamic Informatics and Information Technology team at the University of Wisconsin School of Medicine and Public Health in Madison, Wisconsin. We are committed to revolutionizing healthcare through implementation of advanced data science approaches, conducting cutting-edge data-centric research, and generating real-world evidence to improve patient health outcomes in WI. As a Research Data Scientist, the incumbent will use clinical and imaging data to develop and implement advanced computational algorithms and support conduct of groundbreaking data-driven research. On a day-to-day basis, the incumbent could expect to engage in the following activities in supporting researchers: 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. It is anticipated that this position will be remote and requires work be performed at an offsite, non-campus work location. Key job responsibilities: Composes and assembles reproducible workflows and reports to clearly articulate patterns to researchers and/or administrators Organizes and automates project steps for data preparation and analysis Documents approaches to address research questions and contributes to the establishment of reproducible research methodologies and analysis workflows Prepares data sets for analysis including cleaning/quality assurance, transformations, restructuring, and integration of multiple data sources 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 Identifies and implements or guides others in implementing appropriate data science techniques to find data patterns and answer research questions chosen by the lead researcher including data visualization, statistical analysis, machine learning, and data mining Develops and optimizes advanced computational algorithms using Artificial Intelligence (AI), Machine Learning (ML), regression, and rules-based models Department: School of Medicine and Public Health, Office of Informatics and Information Technology, Data Science to Promote Precision Medicine. About Us: The UW School of Medicine and Public Health (SMPH) is a leader in research and innovation, dedicated to improving patient outcomes through advanced data science and analytics. We are seeking an experienced Research Data Scientist for the Data Science to Promote Precision Medicine initiative and drive transformative data science projects to enhance healthcare and research at SMPH. This position is within the School of Medicine and Public Health’s Office of Informatics and Information Technology (IIT). IIT is a multidisciplinary team of data scientists, engineers, developers, and IT support staff. We offer a variety of Informatics and IT services to departments and research staff within the School of Medicine and Public Health and beyond to support the conduct of high-quality clinical and translational research. Informatics: We provide innovative solutions and training for a broad spectrum of clinical and translational research utilizing real-world data to facilitate rapid translation of research findings into clinical practice, with an emphasis on precision medicine, healthcare delivery, and population health. Technology Solutions: We provide technology solutions to the School of Medicine and Public Health including cybersecurity, educational technology, and IT support. Compensation: The starting salary for the position is $90,000 but is negotiable based on experience and qualifications. Employees in this position can expect to receive benefits such as generous vacation, holidays, and sick leave; competitive insurances and savings accounts; retirement benefits. Benefits information can be found at (https://hr.wisc.edu/benefits/). SMPH Academic Staff Benefits flyer: (https://uwmadison.box.com/s/r50myohfvfd15bqltljn0g4laubuz7t0) Required qualifications: 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. Excellent problem-solving skills and attention to detail. Strong communication skills and ability to work collaboratively in a team environment. Preferred qualifications: Experience working in academic institutions. Experience analyzing ophthalmology images 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 Education: Terminal Degree preferred, MD or PhD with a focus in Computer Science, Data Science, Clinical Informatics, Bioinformatics, Epidemiology, Biostatistics, Ophthalmology or related disciplines preferred How to apply: To apply for this position, please click on the "I am a current employee" button or "I am not a current employee" button under Apply Now. You will be prompted to upload the following documents. Cover Letter Resume Please note, there is only one attachment field. You must upload all of your documents in the attachment field. Applicants are to submit a cover letter and resume detailing their training and experience relating to the required and preferred qualifications referenced above. The application reviewers will be relying on written application materials to determine which qualified applicants will advance in the recruitment process. We will notify selected applicants to participate further in the selection process directly. References will be requested of final candidates. All applicants will be notified after the search is complete and a candidate has been selected. 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. This position is an ongoing position that will require continuous work eligibility. If you are selected for this position you must provide proof of work authorization and eligibility to work.