Research Associate, AI and Simulations Scientist for Medical Imaging & Therapy

Oak Ridge National Laboratory•Oak Ridge, TN

13d•Onsite

About The Position

As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80-year legacy of addressing the nation’s most pressing challenges. Our team is made up of over 7,000 dedicated and innovative individuals! Our goal is to create an environment where a variety of perspectives and backgrounds are valued, ensuring ORNL is known as a top choice for employment. These principles are essential for supporting our broader mission to drive scientific breakthroughs and translate them into solutions for energy, environmental, and security challenges facing the nation.

Requirements

Ph.D. (within 0–5 years) in Medical Physics, Nuclear Engineering, Biomedical Engineering, or a related computational field.
Strong programming skills in C++, Python, or similar languages relevant to scientific modeling and image processing.
Extensive experience with one or more of the following codes (or similar): Monte Carlo radiation transport codes (e.g., Geant4, GATE, TOPAS), DNA damage and repair modeling (MEDRAS), multicellular modes (Compucell, Physicell).
Experience working on High-Performance Computing (HPC) systems for large-scale data analysis or complex simulations.
Demonstrated ability to conduct independent research with a strong publication record in medical imaging and/or radiotherapy.
Demonstrated ability to obtain research funding (e.g., DOE, NIH, DoD, or industrial partnerships).
Excellent written and verbal communication skills for effective interdisciplinary collaboration.
Commitment to ORNL’s core values: Impact, Integrity, Teamwork, Safety, and Service.

Nice To Haves

Deep expertise in internal dosimetry and pharmacokinetic modeling for alpha and beta-emitting radiopharmaceuticals.
Experience in spectral or multi-energy CT imaging, including the development of virtual imaging phantoms and detector modeling.
Experience improving performance of medical physics workflows via: GPU/accelerator optimization for real-time dose calculation, Parallelization of Monte Carlo codes.
Experience applying AI/ML to medical imaging or therapy, including: Deep learning for image reconstruction and denoising, Predictive modeling for patient-specific treatment planning and toxicities, Foundation models for medical image analysis.
Familiarity with clinical imaging standards (e.g., DICOM) and software frameworks like ITK, VTK, or 3D Slicer.
Experience with integrated multiscale modeling connecting cellular radiation damage to organ-level clinical outcomes.
Exposure to AI-enabled scientific workflows that couple physics-based simulation with data-driven clinical observations.

Responsibilities

Develop and validate Virtual Clinical Trial (VCT) frameworks to simulate patient populations and evaluate the efficacy of radiopharmaceutical interventions and imaging protocols.
Integrate AI/ML techniques with Monte Carlo simulations (e.g., Geant4, MCNP) to accelerate radiation transport calculations and image reconstruction workflows.
Optimize computational medicine codes for leadership-class HPC architectures to enable high-throughput population-scale simulations.
Collaborate across interdisciplinary teams spanning nuclear medicine, radiology, oncology, and computational physics.
Publish findings in high-impact journals and present at leading clinical and computational conferences.