Data Science, Analyst
Content + Source + Freshness • 14 Dec 2025 • 95% confidence
Offer value
Moderate value due to specialization in biotech data science, balanced compensation, and entry-level opportunities.
- Entry-level position with strong mentorship opportunities
- Work on impactful cancer research projects
- Balanced compensation within healthcare data science sector
- Ideal for recent graduates or those with basic experience
Pros
- Entry-level position with growth potential in a reputable institution
- Opportunity to work on cutting-edge research in cancer and biomedical imaging
- Mentoring possibilities from experienced faculty and researchers
Cons
- Limited experience requirements might attract high competition
- Primarily focused on academic settings which may limit industry exposure
- Data Science projects can sometimes involve unpredictable workloads
Who it's for
Entry / Junior • In-house / collaborative research environment
Good fit
- Recent graduates in data science or bioinformatics
- Individuals eager to work in oncology research
- Candidates with a foundation in programming and data analysis
Not recommended for
- Professionals seeking high-level industry roles
- Individuals uncomfortable in research-oriented settings
- Candidates expecting extensive experience upfront
Motivation fit
Key skills
About the job
Department
BSD MED - Hematology and Oncology - Torcasso Research Staff
About the Department
Job Summary
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:
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
Role Impact
Scheduled Weekly Hours
Drug Test Required
Health Screen Required
Motor Vehicle Record Inquiry Required
Pay Rate Type
FLSA Status
Pay Range
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
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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