Research Data Analyst, Radiology

Current UC employees must apply internally via SuccessFactors >


Founded in 1819, the University of Cincinnati ranks among the nation’s best urban public research universities. Home to more than 50,000 students, 11,000 faculty and staff and 340,000 alumni, UC combines a Top 35 public research university with a physical setting The New York Times calls “the most ambitious campus design program in the country.”


With the launch of Next Lives Here, the Cincinnati Innovation District, a $100 million JobsOhio investment, nine straight years of record enrollment, worldwide leadership in cooperative education, a dynamic academic health center and entry into the Big 12 Conference, UC’s momentum has never been stronger. UC’s annual budget tops $1.65 billion and its endowment totals $1.8 billion. The University’s overall regional economic impact exceeds $10.6 billion, paving the way for the future of Cincinnati.

Job Overview

As one of the oldest medical schools in the country, the University of Cincinnati College of Medicine (COM) has a reputation for training best-in-class health care professionals and developing cutting-edge procedures and research that improves the health and clinical care of patients. In partnership with the UC Health academic healthcare system and Cincinnati Children’s Hospital Medical Center, College of Medicine’s faculty are transforming the world of medicine every day. The Department of Radiology is a top-tier department with world-renowned faculty and staff.


Our rapidly growing team is seeking a full-time, office-based Research Data Analyst to join our growing team in the Department of Radiology. As a Research Data Analyst, you will be responsible for supporting various research projects utilizing Python programming, MySQL database management, and REDCap (Research Electronic Data Capture) software. This position offers an exciting opportunity to contribute to cutting-edge research in medical imaging and radiology.

Essential Functions

  • Assist in the development and testing of trial/study imaging informatics pipelines.
  • Develop custom scripts and tools for specific research needs.
  • Maintain MySQL databases ensuring data integrity and security.
  • Configure and customize REDCap projects to capture and manage research data according to study requirements.
  • Develop REDCap reporting functionalities to facilitate data analysis and dissemination.
  • Provide technical support and training to research staff.
  • Design and implement algorithms for data preprocessing, feature extraction, and statistical analysis.
  • Collaborate with multidisciplinary teams to design and execute research studies.
  • Assist study/trial team with various research related tasks.
  • Help the study/trial team in preparation of the data for DSMB, manuscripts for publication and/or presentation at national meetings.

Required Education

  • Bachelor’s Degree in a quantitative field such as Engineering, Statistics, Math, Computer Science or related field.
  • Seven (7) years of relevant work experience and/or other specialized training can be used in lieu of education requirement.

Required Experience

Three (3) years of experience in managing large data sets, analyzing statistical techniques and software, and reporting data in a meaningful format.

Additional Qualifications Considered

  • Master’s Degree or higher training.
  • 1 - 2 years working experience in a medical, academic or radiology or neurology environment.
  • Strong proficiency in Python programming and experience with scientific computing libraries such as NumPy, Pandas, and SciPy.
  • Proficiency in MySQL database management, including database design, querying, and optimization.
  • Familiarity with REDCap is highly desirable.
  • Prior experience in radiology research or healthcare informatics.
  • Must be proficient in Microsoft Excel, Word, and Outlook.
  • Strong focus on flexibility, ability to multi-task, and attention to detail. Must be able to prioritize.
  • Ability to verbally communicate effectively with staff, physicians, nurses, managers, trial sponsors and colleagues.
  • Ability to communicate effectively when reading and writing e-mail, letters, Manual of Operations, and other reports or company documents.

Physical Requirements/Work Environment

  • Office environment/no specific unusual physical or environmental demands.

Compensation and Benefits

UC offers a wide array of complementary and affordable benefit options, to meet the financial, educational, health, and wellness needs of you and your family. Eligibility varies by position and FTE.

  • Competitive salary range dependent on the candidate's experience.
  • Comprehensive insurance plans including medical, dental, vision, and prescription coverage.
  • Flexible spending accounts and an award-winning employee wellness program, plus an employee assistance program.
  • Financial security via our life and long-term disability insurance, accident and illness insurance, and retirement savings plans.
  • Generous paid time off work options including vacation, sick leave, annual holidays, and winter season days in addition to paid parental leave.
  • Tuition remission is available for employees and their eligible dependents.
  • Enjoy discounts for on and off-campus activities and services.


As a UC employee, and an employee of an Ohio public institution, if hired you will not contribute to the federal Social Security system, other than contributions to Medicare. Instead, UC employees have the option to contribute to a state retirement plan (OPERS, STRS) or an alternative retirement plan (ARP).


To learn more about why UC is a great place to work, please visit our careers page at


For questions about the UC recruiting process or to request accommodations with the application, please contact Human Resources at


The University of Cincinnati is an Equal Opportunity Employer.


REQ: 95556 


Research Data Analyst, Radiology

Date:  May 11, 2024

Cincinnati, OH, US

Facility:  Main Campus

Nearest Major Market: Cincinnati

Job Segment: Data Analyst, Radiology, Medical Research, Clinical Research, Data, Research, Healthcare