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The University of Chicago is seeking a Data Scientist to lead data science research within the breast cancer program of the Section of Hematology/Oncology in the Department of Medicine. You will develop frameworks for integrating multi-modal clinical data, build ML pipelines, and work with collaborators to apply external computational tools.
Preferred candidates will have an advanced degree in computer science and strong Python experience with PyTorch and scikit-learn, including work with image
The Section of Hematology/Oncology has a proud and long tradition of excellence in research-based patient care and clinical discovery. Ranked among the finest cancer programs in the country, the Section is comprised of nationally and internationally known faculty with expertise in all major types of malignancies, blood disorders, and experimental therapies.
The Data Scientist will lead data science research efforts within breast cancer program in the Section of Hematology/Oncology in the Department of Medicine.
Education: Minimum requirements include a college or university degree in related field.
Work Experience: Minimum requirements include knowledge and skills developed through 2-5 years of work experience in a related job discipline.
Certifications: ---
Education: Advanced degree in computer science.
Experience: Experience in python including torch and scikit-learn libraries strongly preferred.
Experience in working with image data or unstructured text data with large language models.
The University of Chicago uses AI-assisted tools to streamline and augment some recruitment processes; however, AI is not used to make hiring decisions.
Research Role Impact Individual Contributor
Benefits Eligible Yes
The University of Chicago offers a wide range of benefits programs and resources for eligible employees, including health, retirement, and paid time off. Information about the benefit offerings can be found in the Benefits Guidebook.
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