Postdoctoral Research Fellow - Fathi Kazerooni

SHIFT:
Day (United States of America)

Children’s Hospital of Philadelphia (CHOP) offers countless ways to change lives. Our diverse community of more than 20,000 Breakthrough Makers will inspire you to pursue passions, develop expertise, and drive innovation.

At CHOP, your experience is valued; your voice is heard; and your contributions make a difference for patients and families. Join us as we build on our promise to advance pediatric care—and your career.

CHOP does not discriminate on the basis of race, color, sex, national origin, religion, or any other legally protected categories in any employment, training, or vendor decisions or programs. CHOP recognizes the critical importance of a workforce rich in varied backgrounds and experiences and engages in ongoing efforts to achieve that through equally varied and non-discriminatory means.

Under the direction/guidance of a mentor (principal investigator), assume responsibility for a specific, ongoing research project. The experience will serve to extend, refine and enhance skills necessary for professional and career development, and will enable the individual to broaden their scientific background by acquiring new research capabilities. It is expected that this individual will conduct independent scholarly research and will contribute directly to the overall research goals of the project and the research group.

This role will be expected to participate in project planning, recording and interpretation/evaluation of data, and communication of results. The position will also be expected to acquire technical, lab management, and manuscript/grant writing skills; and participate in seminars, lectures, poster sessions and presentations at national meetings. This role may also be required to supervise junior lab members, develop new methods and protocols for research, and assist with the development of other research projects in the lab.

We are seeking a highly motivated Postdoctoral Research Fellow to join a multidisciplinary research team focused on developing and translating artificial intelligence (AI) methods for pediatric neuro‑oncology. The fellow will contribute to cutting‑edge research integrating imaging, clinical, and molecular data to improve diagnosis, risk stratification, and treatment monitoring of brain tumors.

This position offers the opportunity to work on large‑scale, multi‑institutional datasets and contribute to high‑impact publications, open science initiatives, and collaborative consortia.

• Develop and implement machine learning and deep learning models for medical imaging and multimodal data analysis
• Design and conduct research studies involving MRI, clinical variables, and multi‑omic datasets
• Lead and contribute to manuscripts, abstracts, and grant proposals
• Perform data preprocessing, quality control, and curation of large‑scale imaging and clinical datasets
• Collaborate with clinicians, radiologists, and data scientists across institutions
• Contribute to development of reproducible pipelines and benchmarking frameworks
• Present research findings at internal meetings and national/international conferences

• Multimodal data fusion
• Risk prediction and survival modeling
• Longitudinal and real‑world data analysis
• Robust AI methods for incomplete or heterogeneous datasets

• Conduct independent scholarly research and develop new methods and protocols
• Participate in project planning, recording and evaluation of data
• Acquire technical, lab management and grant writing skills
• Participate in seminars, lectures, poster sessions and presentations at national meetings
• Supervise junior lab members
• Assist with other research projects

• Doctorate – Required
• PhD in Biomedical or Electrical Engineering, Computer Science, or a related field
• Strong background in machine learning and/or deep learning
• Experience with Python and relevant libraries (PyTorch, Tensor Flow, scikit‑learn)
• Experience working with medical imaging data – preferred: MRI
• Strong analytical, problem‑solving, and communication skills
• Demonstrated ability to publish in…