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Computer Scientist, Radiation Biology and Monte Carlo Modeling in Dosimetry

Date: Jun 6, 2022

Location: Oak Ridge, TN, US, 37830

Company: Oak Ridge National Laboratory

Requisition Id 7561 



We are seeking a Computer Scientist to join the Biostatistics and Multiscale Systems Group in Advanced Computing in Health Sciences Section of the Computational Science and Engineering Division (CSED). The selected candidate will work in a collaborative research and development environment focusing on radiation biology, microdosimetry and Monte-Carlo simulations. We are specifically seeking a candidate with solid experience with GEANT4, TOPAS-nbio and C++ programming. The position requires domain expertise in radiation physics and radiation biology.


The Biostatistics and Multiscale Systems (BSMS) Group focuses on conducting research in computational sciences in the context of biomedical sciences in support of the nation’s leading health initiatives.  The Advanced Computing in Health Sciences Section (ACHS) delivers scalable and computational solutions to biomedical and healthcare delivery challenges.  


As a scientist, you will have the opportunity to conduct computational research and collaborate with scientists within the group as well as with external partners which may include other national laboratories, academia, or medical centers.

 You will perform groundbreaking research on a wide range of significant problems with the fastest computing platforms in the world. This position requires novel thinking, teamwork, and discovery in finding new approaches for analyzing massive and complex data, collaborating with worldwide experts, and publishing groundbreaking results.


Major Duties/Responsibilities: 


  • Conduct research in the areas of radiation biology, radiation dosimetry and computing with applications to health sciences at the direction of principle investigators or delegated research scientists
  • Integrate Monte-Carlo based modeling and simulation with high performance computing and synthetic data generation for machine learning studies in radiation biology
  • Work on collaborative projects within ORNL and with external collaborators
  • Publish papers, participate in conferences and contribute to grant writing efforts within the group


Basic Qualifications:


  • M.S Degree and a minimum of 2-7 years of relevant research experience outside of degree or a Ph.D and 0-2 years of relevant research experience outside of degree.  Degree focus should be in the areas of Medical Physics, Biomedical Engineering, Physics or a field closely related to the job duties of this position.
  • A record of experience with Monte-Carlo simulation for radiation dosimetry proven by publications in peer-reviewed journals and/or conference presentations



Preferred Qualifications:


  • A strong background in radiation dosimetry, radiation biology and Monte-Carlo simulations
  • A record of experience in developing Monte-Carlo simulations for radiation dosimetry
  • Knowledge of GEANT4 and TOPAS-nbio are a strong plus
  • Expertise in software development and high-performance computing
  • Excellent written and oral communication skills and the ability to communicate in English to an international scientific audience
  • The abilities to be a self-starter, to work independently and to participate creatively in a collaborative team effort
  • Proven ability to function well in a dynamic research environment, set priorities, multi- task and adapt to emerging technical trends


Additional Information:


Applicants must have received their Ph.D or M.S prior to the date of application and must complete all degree requirements before starting their appointment.



Relocation: UT-Battelle offers a generous relocation package to ease the transition process. Domestic and international relocation assistance is available for certain positions. If invited to interview, be sure to ask your Recruiter (Talent Acquisition Partner) for details.
For more information about our benefits, working here, and living here, visit the “About” tab at


This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

We accept Word (.doc, .docx), Adobe (unsecured .pdf), Rich Text Format (.rtf), and HTML (.htm, .html) up to 5MB in size. Resumes from third party vendors will not be accepted; these resumes will be deleted and the candidates submitted will not be considered for employment.

If you have trouble applying for a position, please email

ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply.  UT-Battelle is an E-Verify employer.

Nearest Major Market: Knoxville