Data Science, Analyst at UChicago

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:

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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.

Job Family

Research

Role Impact

Individual Contributor

Scheduled Weekly Hours

Drug Test Required

Health Screen Required

Motor Vehicle Record Inquiry Required

Pay Rate Type

Hourly

FLSA Status

Non-Exempt

Pay Range

$24.04 - $31.25

The included pay rate or range represents the University’s good faith estimate of the possible compensation offer for this role at the time of posting.

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 .

Posting Statement

The University of Chicago is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity, or expression, national or ethnic origin, shared ancestry, age, status as an individual with a disability, military or veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination.

Job seekers in need of a reasonable accommodation to complete the application process should call 773-702-5800 or submit a request via Applicant Inquiry Form.

All offers of employment are contingent upon a background check that includes a review of conviction history. A conviction does not automatically preclude University employment. Rather, the University considers conviction information on a case-by-case basis and assesses the nature of the offense, the circumstances surrounding it, the proximity in time of the conviction, and its relevance to the position.

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