Remote Stem Cell Research Assistant Jobs (NOW HIRING)

Department
BSD PED - Hematology, Oncology, and Stem Cell Transplantation
About the Department
The Section of Pediatric Hematology/Oncology provides care for pediatric, adolescent, and young adult patients with cancer and other hematologic diseases, requiring the specialty knowledge and skills of Hematology, Oncology and Stem Cell Transplantation. In addition to patient care, clinical and translational research, including laboratory-based wet lab and dry lab studies, are conducted by faculty members in the section.
Job Summary
The University of Chicago's Department of Pediatrics, Section of Hematology, Oncology, and Stem Cell Transplantation in the Biological Sciences Division seeks a full-time Research Manager to support and advance an interdisciplinary research program focused on life-course epidemiology, environmental and structural determinants of health, cancer and reproductive outcomes.
The incumbent's primary activity will be academic research conducted in close collaboration with the Murphy Lab.
The Research Manager will play a central role in analytic leadership, project coordination, and scientific development across multiple funded studies, including NIH-funded studies involving complex epidemiologic, clinical, and registry-linked data.
The job leads and provides expertise to the development of programs for scientific research facilities. Uses considerable on-the-job experience to ensure compliance of research activities with institutional, state, and federal regulatory policies. Works independently to write articles, reports and manuscripts, and presents research findings at meetings and/or conferences.
This at-will position is wholly funded by extramural funds (e.g., grant, gift, endowment) which are renewed under provisions set by the grantor of the funds. Employment will be contingent upon the continued receipt of these funds and satisfactory job performance.
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:
Minimum requirements include knowledge and skills developed through 7+ years of work experience in a related job discipline.
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
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
Salary
FLSA Status
Exempt
Pay Range
$80,000.00 - $120,000.00
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 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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