Senior Clinical Research Data Manager

Department

BSD MED – Hematology and Oncology – Clinical Research Data Managers – Cluster 8

About the Department

The Section of Hematology/Oncology has a proud and long tradition of excellence in research-based patient care and clinical discovery. Ranked among the finest cancer programs in the country, the Section is comprised of nationally and internationally known faculty with expertise in all major types of malignancies, blood disorders, and experimental therapies.

Job Summary

The Senior Clinical Research Data Manager will perform a variety of data management duties of a complex and technical nature in support of clinical research studies conducted by principal investigators (PIs) for the clinical research program to ensure adherence to protocols and quality of information received.

Responsibilities

• Maintains a close, collaborative working relationship with the PIs in your department to effectively manage research studies, with the department, administrative team, and department staff.

• Builds and maintains effective relationships with key study personnel, clinical resources and colleagues.

• Oversees the data management activities of a specific work unit as the data management expert.

• Responsible for all data management aspects of clinical studies and efficiently performs all data management activities within an assigned study or studies.

• Provides data management expertise to the team in identifying opportunities for improvement.

• Ensures validity of research results through timely, accurate, and complete data submission, query resolution, and reporting of deviations.

• May delegate tasks to team members within the study program.

• Demonstrates proficiency in the use of clinical and research-related computer programs.

• Ensures that relevant data from the source document are abstracted and recorded in the clinical trial case report forms and that every data point can be verified within the source document.

• Utilizes analytical thinking, attention to detail, and problem-solving skills.

• Facilitates communication between the site and study sponsor, CRO, and/or regulators, and exhibits teamwork skills necessary for managing the data collection and reporting process.

• Will train other data managers within the unit.

• Solves a range of straightforward problems relating to the administration of the compliance, financial and other related aspects of a clinical study.

• Interprets the data needed for insurance submissions. Gathers pre-testing results if obtained at an outside facility.

• Accountable for all tasks in moderately complex clinical studies.

• Assists with various professional, organizational, and operational tasks under moderate supervision.

• 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 2-5 years of work experience in a related job discipline.

Certifications:

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Preferred Qualifications

Education:

• Bachelor’s degree.

Experience:

• Progressively responsible relevant clinical research experience.

Technical Skills or Knowledge:

• Proven excellence in data management.

• Perform data monitoring, query generation and query resolution.

• Perform research data management with minimal supervision.

• Knowledge of Microsoft Word, Excel and Adobe Acrobat.

• Knowledge of medical and/or clinical trial terminology.

• Train junior data managers.

• Experience troubleshooting clinical trials; uncovering issues and identifying the most appropriate intervention.

• Knowledge in relevant scientific field.

Preferred Competencies

• Strong analytical skills.

• Handle competing demands with diplomacy and enthusiasm.

• Strong data management skills.

• Work collaboratively and with divisional research offices.

• Maintain a high degree of confidentiality with clinical data and client’s proprietary data.

• Adaptability to changing working situations and work assignments.

• Work independently and as part of a team.

• Strong attention to detail.

• Excellent multi-tasking skills.

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

37.5

Drug Test Required
 

No

Health Screen Required
 

No

Motor Vehicle Record Inquiry Required
 

No

Pay Rate Type

Salary

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FLSA Status

Exempt

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Pay Range

$70,000.00 – $80,000.00

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.

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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