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

Loyola University Chicago; Maywood (IL); On-site; USD 25,000 - 30,000; Full time

Job summary

Debnath Lab at Loyola University Chicago in Maywood recruits an Research Assistant I to support computational medical physics and Monte Carlo modeling. The role involves mentored, full-time research under the principal investigator in radiation oncology.

Responsibilities include simulations, model development, data analysis, and result interpretation across dosimetry and detector performance with emphasis on reproducible computational workflow. A Bachelor’s degree is required.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Physics fundamentals

Numerical methods

Computational modeling

Python

MATLAB

C++

Linux HPC

Monte Carlo methods

Education

Bachelor’s degree

Tools

Geant4

GATE

TOPAS

MCNP

Job description

Debnath Lab Research Assistant I – 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 WorkDay 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.

Duties & Responsibilities

• 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.

Preferred Qualifications

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

Qualifications

• 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 elite group of universities with the highest level of research activity to advance knowledge that serves communities and creates global impact. With 15 schools, colleges, and institutes —including Business, Law, Medicine, Nursing, and Health Sciences—Loyola operates three primary campuses in the greater Chicago area and one in Rome, Italy, that provide students a transformative, globally connected learning experience. Consistently ranked among the nation’s top universities by U.S. News & World Report, Loyola is a STARS Gold-rated institution that is ranked as one of the country’s most sustainable campuses by The Princeton Review and has earned distinctions from AmeriCorps and the Carnegie Foundation for its longstanding record of service and community engagement. Guided by its Jesuit mission and commitment to caring for the whole person, Loyola educates ethical leaders who think critically, act with purpose, and strive to create a more just and sustainable world.

Loyola University Chicago strives to be an employer of choice by offering its staff and faculty a wide array of affordable, comprehensive, and competitive benefits.

Loyola adheres to all applicable federal, state, and/or local civil rights laws and regulations prohibiting discrimination in private institutions of higher education. Please see the University’s Nondiscrimination Policy.

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