Debnath Lab Research Assistant – Computational Medical Physics and Monte Carlo Modeling

Position Details Job Title RESEARCH ASSISTANT I Position Number 8150699 Work Modality Fully In-Person Is this request for the creation of a new Position (or the modification of an existing Position) to temporarily support the Work Day ERP? no Job Category University Staff Job Type Full-Time FLSA Status Non-Exempt Campus Maywood-Health Sciences Campus Department Name RADIATION ONCOLOGY Location Code RADIATION ONCOLOGY (06720A) Is this split and/or fully grant funded?

Yes

The Debnath lab works on developing technologies for addressing key challenges presented by radiation therapy for cancer treatment. This research aims to achieve a paradigm shift in modern radiation therapy, ensuring quality treatment, improving the understanding of the effects of ionizing radiation on tissues, and pioneering high-resolution medical imaging technologies, thereby contributing to the advancement of early-stage cancer treatment.

The Research Assistant I in the Debnath Lab participates in full-time, mentored research under the direction of the principal investigator.

• Assist with computational research involving radiation transport, Monte Carlo simulations, and radiation detector modeling for medical physics applications.
• Support the development, implementation, and evaluation of computational models for radiation dosimetry, detector performance, and radiation interactions with matter.
• Perform computational simulations, process simulation outputs, and analyze results using scientific programming and data visualization tools.
• Assist with comparisons between computational predictions and experimental measurements, including model validation and performance assessment.
• Maintain simulation records, computational datasets, and technical documentation, and contribute to research reports, presentations, and scientific manuscripts.
• Other duties as assigned.

Minimum Education and/or Work Experience Bachelor’s degree in related field and zero-one year of related experience.

• Master’s degree in related field preferred
• One to two years of relevant research or professional experience.

• Basic understanding of physics, numerical methods, computational modeling, or radiation interactions with matter.
• Familiarity with scientific programming or data analysis using Python, MATLAB , C++, or similar tools.
• Experience with Monte Carlo simulation packages such as Geant4, GATE , TOPAS , or MCNP is preferred but not required.
• Familiarity with Linux-based computing environments, scientific computing workflows, or high-performance computing is desirable.
• Strong quantitative, analytical, problem-solving, and communication skills, with attention to computational accuracy and reproducibility.
• Ability to learn new computational tools, work independently after appropriate training, and collaborate effectively with a multidisciplinary research team.

Certificates/Credentials/Licenses n/a

Computer Skills Proficiency in Microsoft Office programs and willingness to learn lab related software.

Supervisory Responsibilities No

Required operation of university owned vehicles No

Does this position require direct animal or patient contact? No

Physical Demands None

Working Conditions None

Open Date 10/27/2026

Close Date Position

Maximum Salary or Hourly Rate $22.00/hr

Minimum Salary or Hourly Rate $18.00/hr

About Loyola University Chicago Founded in 1870, Loyola University Chicago is one of the nation’s largest Jesuit, Catholic universities, recognized for its academic excellence, commitment to community engagement, and leadership in sustainability. A Carnegie R1 research institution, Loyola leverages its status as one of an…