Department
BSD PED - Hematology, Oncology, and Stem Cell Transplantation
About the Department
Job Summary
Responsibilities
Support integration of data across sources, e.g., registries, biospecimens, and administrative data.
Support interpretation and visualization of results for manuscripts, presentations, and grant applications.
Coordinate program-level operations across multiple research projects and grants.
Manage project timelines, milestones, and deliverables.
Identify and troubleshoot analytic or operational challenges as they arise.
Lead and oversee data governance activities, including preparation and management of Data Use Agreements (DUAs), Memoranda of Understanding (MOUs), and data sharing agreements.
Coordinate with institutional offices, collaborators, and legal/compliance teams to ensure appropriate data access and use.
Contribute substantively to grant applications, including methods, analytic plans, and preliminary data.
Assist with preparation of progress reports (e.g., RPPRs) and other sponsor-required documentation.
Coordinate manuscript development across project teams, including drafting support, co-author coordination, and management of revisions.
Support long-term planning for growth of the research program, including new data resources, collaborations, and funding opportunities.
Develop systems and workflows that support efficient coordination across projects within the research portfolio.
Provides expertise to researchers on compliance of research activities with institutional, state, and federal regulatory policies, procedures, directives and mandates.
Provides expertise to researchers and research support staff. Oversees activities related to data collection and analysis.
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:
Masters of Public Health or equivalent master’s degree in epidemiology, biostatistics, public health, environmental health sciences, data science, or a related field.
Experience:
10+ years of experience in a research-intensive environment.
Experience working with complex, large-scale, or linked datasets.
Experience with NIH-funded research and multi-project grants.
Proficiency in statistical programming languages (e.g., R, SAS, Python).
Experience managing data governance and regulatory requirements.
Preferred Competencies
Strong organizational, project management, and communication skills.
Ability to work independently while coordinating across multiple projects.
Application Documents
Resume (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
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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