BSD MED - Biomedical Data Science - Beaulieu-Jones Research Staff
About the Department
The Section of Biomedical Data Science within the Department of Medicine at the University of Chicago performs research encompassing computational biomedicine, biomedical data science and biomedical informatics. The Beaulieu-Jones lab within the Section of Biomedical Data Science focuses on machine learning for healthcare within two primary areas: 1.) Precision phenotyping of complex, heterogeneous conditions and, 2.) Safe and Effective Deployment of Machine Learning in the clinic.
Job Summary
The Section of Biomedical Data Science is looking for a Research Technician to work within the Beaulieu-Jones Lab in the Department of Medicine. This role is ideal for individuals interested in learning about the application of machine learning to clinical data and supporting research on the safe, equitable deployment of AI in healthcare. The Research Technician will assist with data collection and preprocessing, as well as model development, training, and analysis for AI in healthcare projects. Strong candidates will have fundamental programming skills and familiarity with healthcare data management. Experience with statistical analysis, machine learning, and data visualization is preferred. The ideal candidate should be detail-oriented, eager to learn new technical skills, and interested in understanding how AI technologies can be evaluated across different patient populations.
Responsibilities
Assist in the research, development and/or application of machine learning models to clinical data.
Perform data science analyses of healthcare data - including preprocessing, exploratory data analysis, model training and evaluation, and post-hoc evaluation.
Participate in the evaluation and validation of developed models across multiple datasets and/or settings.
Support lab efforts to publish research findings in scientific journals and/or present research findings at relevant scientific conferences and seminars.
Participate in lab activities including collaborative meetings, offering feedback to other members of the lab, literature review and preparing materials for research presentations.
Record findings/results.
Maintain laboratory note book.
Maintains technical and administrative support for a research project.
Analyzes and maintains data and/or specimens. Conducts literature reviews. Assists with preparation of reports, manuscripts and other documents.
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
Certifications:
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Preferred Qualifications
Education:
Bachelor's degree.
Experience:
Relevant research experience.
Preferred Competencies
Ability to communicate with tact and diplomacy.
Strong organizational skills.
Strong interpersonal skills and commitment to working as a team.
Strong communication skills (written and verbal).
Strong data management skills.
Absorb large amounts of data quickly.
Ability to adapt to changing work situations and assignments.
Application Documents
Resume (required)
Cover Letter (required)
When applying, the document(s) MUSTbe 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
$42,000.00 - $61,000.00 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 Affirmative Action/Equal Opportunity/Disabled/Veterans and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity, national or ethnic origin, 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.
Staff 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.
We seek a diverse pool of applicants who wish to join an academic community that places the highest value on rigorous inquiry and encourages a diversity of perspectives, experiences, groups of individuals, and ideas to inform and stimulate intellectual challenge, engagement, and exchange.
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