Research Assistant Bioengineering Jobs in Chicago, IL

Department
BSD MED - Rheumatology - Damo Research Staff
About the Department
The Damo Lab is part of the Section of Rheumatology within the Department of Medicine at the University of Chicago. The lab is led by Dr. Martina Damo, who is a bioengineer and immunologist. The lab studies mechanisms of immune regulation in peripheral tissues, with an emphasis on the role of immune checkpoint receptors as negative regulators of T cell immunity in health and disease. Studies heavily rely on the use of engineered mouse models, tumor models and sometimes human specimens.
Job Summary
The Research Assistant will support the studies in the Damo Lab on the role of cancer immunotherapy in the dis-regulation of self-tolerance. This job will primarily involve in vivo research with mouse models of cancer.
Responsibilities

• Breeding and genotyping of experimental mice.
• Tumor cell culture and inoculation into experimental mice.
• Treatment of experimental mice (for example, administration of immunotherapy).
• Tumor growth measurement.
• Organ collection and processing.
• Immune cell analysis via spectral flow cytometry or transcriptomic analysis.
• This job provides technical and administrative support in a laboratory environment performing basic laboratory techniques, research and analysis under direction.
• Provides routine or standardized laboratory duties by collecting data in support of research projects under direct supervision.
• Performs other related work as needed.

Minimum Qualifications
Education:
Minimum requirements include vocational training, apprenticeships or the equivalent experience in related field (not typically required to have a four-year degree).
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:

• Bachelor's degree in Biology, Immunology, Molecular Biology, Biotechnology or related life science field.

Experience:

• Experience with in vivo mouse work and multi-parameter immune cell analysis with flow cytometry and RNAseq.
• Experience with coding and AI tools for analysis of complex datasets is preferred but not required.

Preferred Competencies

• Analytical skills.
• Problem-solving skills.
• Attention to detail.
• Organizational skills.
• Verbal and written communication skills.
• Work independently.

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
FLSA Status
Non-Exempt
Pay Range
$19.23 - $26.44
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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