University of Chicago
Data Science, Analyst
Job Description
Department BSD MED – Hematology and Oncology – Torcasso Research Staff About the Department 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. Job Summary The Data Science, Analyst will will work to maintain and deploy algorithms for accurate detection, segmentation, and classification of cells and structures in biomedical image data.
Additionally, the candidate will analyze spatial transcriptomic data to evaluate spatial patterns of genes in tissues. They will primarily work on projects involving spatial characterization of cells and genes in the tumor microenvironment of breast and bladder cancers. The candidate should be proficient in Python with a familiarity of specific libraries/APIs including sci-kit learn, pandas, skimage, and PyTorch. Strong interpersonal and communication skills are also required for successful integration into a team of researchers.
Responsibilities Optimize and maintain algorithms in biomedical image analysis pipelines. Validate algorithm performance on novel datasets.
Analyze spatial transcriptomic data. Perform statistical analyses on data extracted form bio-images and other spatial data. Documentation and versioning of code and results.
Assists in analyzing data for the purpose of extracting applicable information. Performs research projects that provide analysis for a number of programs and initiatives. May assist staff or faculty members with data manipulation, statistical applications, programming, analysis and modeling on a scheduled or ad-hoc basis.
Performs other related work as needed. Minimum Qualifications Education: Minimum requirements include a college or university degree in related field.
Work Experience: Minimum requirements include knowledge and skills developed through < 2 years of work experience in a related job discipline. Certifications: Preferred Qualifications Education: Advanced degree in Computer Science, Bioinformatics, or Data Science.
Experience: Experience processing and managing both image and tabular data. Preferred Competencies Proficiency in Python, BASH, SLURM and PyTorch; familiarity with R. Analytical skills.
Problem-solving skills. Attention to detail. Organizational skills.
Verbal and written communication skills. Ability to work independently and as a team. Application Documents Resume/CV (required) Cover Letter (preferred) When applying, the document(s) MUST be uploaded via the My Experience page, in the section titled Application Documents of the application.
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