Department

BSD MED - Rheumatology - Clark Research Staff

About the Department

The Section of Rheumatology is a dynamic and growing enterprise of approximately forty faculty, staff, and fellows who are committed to providing outstanding state-of-the-art patient care, understanding the pathogenesis of autoimmune diseases, and training the next generation of physicians and scientists. We have well-developed basic science research programs where our primary focus is on understanding the development and regulation of lymphocytes which is fundamental to the pathogenesis of most autoimmune diseases.

These are exciting times in Rheumatology. Remarkable advances in our knowledge of basic immunology are beginning to translate into new and better treatments for those suffering from autoimmune and metabolic diseases. The Section is well poised to both take advantage and contribute to these revolutions in the understanding and treatment of rheumatic diseases.

Job Summary

The Data Science, Analyst will work to improve and maintain algorithms for accurate detection, segmentation, and classification of cells and structures in biomedical microscopy images. This position will also work to align high dimensional (HD) images of human tissue to conventionally stained sections. They will work to train an machine learning network to detect textures in H&E which correspond to specific inflammation and damage states revealed by HD imaging. The role will also work with a team of researchers to streamline analytical pipelines and customize algorithms.

Responsibilities

Optimize and maintain algorithms for accurate quantification of biomedical microscopy images.

Train a machine learning (CNN) network to identify inflammation and damage patterns on H&E sections.

Validate performance of algorithms on novel datasets.

Properly version and document all updates and additions to code and pipelines.

Work with a team to drive innovation when analyzing new data.

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 or Data Science.

Experience:

Previous data science experience.

Preferred Competencies

Proficiency in Python and BASH; familiarity with SLURM and PyTorch.

Proficiency in machine learning specifically CNNs.

Familiarity with processing and managing image data.

Skills in basic bioinformatics.

Application Documents

Resume/CV (required)

Cover Letter (required)

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

40

Drug Test Required

No

Health Screen Required

No

Motor Vehicle Record Inquiry Required

No

Pay Rate Type

Hourly

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FLSA Status

Non-Exempt

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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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