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About the position
Join the forefront of groundbreaking research at the Beckman Research Institute of City of Hope, where we're changing lives and making a real difference in the fight against cancer, diabetes, and other life-threatening illnesses. Our dedicated and compassionate faculty and staff are driven by a common mission: Contribute to innovative approaches in predicting, preventing, and curing diseases, shaping the future of medicine through cutting-edge research. City of Hope is seeking a detail-oriented Research Associate I to perform tumor measurements and image analysis in our Radiology department. Join us in advancing cancer research and improving patient outcomes through innovative imaging technologies.
Responsibilities
- Perform preliminary tumor measurements on imaging scans (CT, MRI, PET) using tumor measurement software and oncologic criteria, including but not limited to RECIST 1.1, RANO, and LUGANO. Training and supervision will be provided by the imaging core site and research managers.
- Coordinate radiology research studies and clinical trials focused on advancing imaging modalities for the diagnosis and treatment of disease.
- Prepare, submit, and maintain regulatory (e.g., IRB) and budgetary documents for research studies and clinical trials.
- Operate specialized equipment and software to support diverse research projects in collaboration with faculty, modality managers, and research leaders.
- Maintain detailed records of work, including methodologies and results; validate data for accuracy and completeness; and compile findings into reports, graphs, and other documentation.
- Ensure all research imaging activities comply with safety protocols and guidelines established by the FDA and the American College of Radiology.
Requirements
- Bachelor's degree in Biomedical Engineering, Computer Science, or a related field is required.
- 1-2 years of experience in imaging-related research or as an imaging technician in clinical or research environments is highly desirable.
Nice-to-haves
- Advanced credentials, such as a Master's degree in Biomedical Engineering, Computer Science, or a closely related discipline, are strongly preferred.
