Description

This role is designed to be 100% onsite, giving you the opportunity to collaborate closely with your team and immerse yourself in the energy of our workplace. Please note that hybrid or remote work options are NOT available for this position at this time.

This is an unpaid internship designed specifically for students who are currently enrolled in a bachelor?s degree program. Candidates who have already completed their bachelor?s degree or are enrolled in a master?s program will not be considered.

Join one of the top-ranked hospitals in the nation. Cedars-Sinai has been recognized as the #2 hospital in the U.S. and #1 in California in the U.S. News & World Report "Best Hospitals 2022-23" rankings, reflecting excellence in patient outcomes, patient experience, technology, and medical expertise. As a Research Intern, you will train at a world-class institution, gain hands-on experience with state-of-the-art technology, and collaborate with some of the most highly regarded professionals in the field.

This internship is housed within the Department of Radiation Oncology. The Research Intern will be trained by experienced radiation oncology physics faculty and will work in a shared office space alongside other research interns. The program offers exposure to high-level medical physics, computational research, and scientific inquiry in a leading clinical research environment.

The Research Intern will work both independently and collaboratively under the guidance of faculty and research staff. The role focuses on computational research activities, algorithm and software development, and data analysis using advanced computing resources. This internship offers the opportunity to contribute to scientific publications and presentations.

• Perform routine and advanced computational research tasks.
• Develop, adapt, and implement novel algorithmic techniques and research software.
• Curate, manage, and analyze complex datasets.
• Utilize state-of-the-art computing hardware, including high-performance computing systems.
• Collaborate with research team members on project design, execution, and evaluation.
• Participate in scientific publications and presentations as an author or co-author.
• Engage in progressive training aligned with the internship timeline.

• CS-Link (EPIC) system training
• Training on data collection from CS-Link and public data repositories
• Breast cancer research fundamentals
• Intern selects a research project

• Assist with data collection
• Introductory Python scripting training
• Training on high-performance computing systems
• Training for performing research tasks

• Training in Radiomics and Natural Language Processing
• Training in research-level data analysis
• Intern begins performing research tasks independently

• Intern performs advanced data analysis
• Intern prepares project report and/or journal manuscript

Qualifications

Required Education & Experience

• Must be 18 years of age or older.
• Must have a HS Diploma or GED.
• Must reside in the greater Los Angeles area or surrounding cities while conducting all activities related to the intern or visitor appointment.
• INTERNS: Those participating for academic credit must receive academic credit for the duration of the internship.
• VISITORS: Must be receiving funding from an eligible sponsoring institution (employer, educator, funder, etc.).