Data Science, Analyst
About The Position
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 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.
Requirements
- Minimum requirements include a college or university degree in related field.
- Minimum requirements include knowledge and skills developed through < 2 years of work experience in a related job discipline.
Nice To Haves
- Advanced degree in Computer Science, Bioinformatics, or Data Science.
- Experience processing and managing both image and tabular data.
- 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.
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.
Benefits
- 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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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Industry
Educational Services
Number of Employees
5,001-10,000 employees
