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Post-Doctoral Research Fellow; FLASH

Job in New York, New York County, New York, 10261, USA
Listing for: New York Proton Center
Full Time position Listed on 2026-11-14
Job specializations:
Salary/Wage Range or Industry Benchmark: 90000 - 130000 USD Yearly USD 90000.00 130000.00 YEAR

Job Description & How to Apply Below

Position: Post-Doctoral Research Fellow (FLASH)
Location: New York

  • This position is eligible to receive a Sign-on Bonus.**
  • This position is eligible to receive a Sign-on Bonus.**

Located in Manhattan, The New York Proton Center (NYPC) is one of the most unique and respected clinical partnerships in the world of proton therapy. The collaboration between Memorial Sloan Kettering Cancer Center, Montefiore Medical Center, and Mount Sinai Health System brings state-of-the-art proton therapy treatment to the patients of New York and the surrounding areas.

Our team at NYPC is comprised of highly motivated, passionate, professional, and engaged individuals working together as a dynamic team to deliver an exceptional level of patient care, providing the most advanced proton therapy technology. We offer our employees a competitive compensation and benefits package with flexibility for growth and career advancement.

Position Summary

The Post-Doctoral Research Fellow (PDRF) will design and conduct research within a specific field while receiving advanced training from a designated Principal Investigator to enhance professional skills and research independence needed for pursuing a professional career in Medical Physics. The ideal candidate will work with the Principal Investigator to develop new ideas, design and evaluate experiments, process and analyze data, and prepare scientific manuscripts for publication.

The initial appointment is for one year, and renewal is expected upon the PDRF’s performance.

Duties And Responsibilities
  • Lead and contribute to research projects involving FLASH proton therapy, proton minibeam radiation therapy, and spatially fractionated radiation therapy (SFRT), including GRID and LATTICE techniques.
  • Develop and optimize novel proton beam delivery approaches, including aperture-collimated minibeams, and ridge-filter-based delivery systems.
  • Perform computational modeling, Monte Carlo simulations, and treatment planning studies to evaluate dose distributions, beam characteristics, dose-rate performance, and treatment robustness.
  • Design and conduct experimental measurements to characterize proton beam delivery, including dosimetric validation, beam profile measurements, and evaluation of spatial and temporal dose delivery characteristics.
  • Develop and implement computational tools using MATLAB, Python, and treatment planning system scripting to support research workflows, treatment plan optimization, and data analysis.
  • Investigate the feasibility and potential clinical translation of FLASH and minibeam technologies, including treatment planning strategies, treatment delivery efficiency, and quality assurance methodologies.
  • Collaborate with medical physicists, radiation oncologists, engineers, and other researchers on interdisciplinary research and technology development.
  • Analyze and interpret experimental and computational results, prepare scientific manuscripts, and present research findings at national and international conferences.
  • Comply with NYPC policies and applicable patient privacy requirements, including HIPAA.
  • Perform other related clinical and research support duties as needed.
Qualifications
  • Ph.D. in Medical Physics, Physics, Biomedical Engineering, Nuclear Engineering, Computer Science, or a closely related field.
  • Strong background in radiation physics, Monte-Carlo simulation, computational modeling, medical imaging, or related engineering and physical sciences.
  • Experience with treatment planning software, such as Raystation is preferred.
  • Proficiency in scientific programming, particularly MATLAB and/or Python.
  • Strong analytical, quantitative problem-solving, and independent research skills.
  • Demonstrated ability to design research studies, analyze scientific data, and communicate technical findings effectively.
  • Strong written and oral…
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