Applied Physicist - SPECT/PET Image Reconstruction

Ascinta Technologies; Vancouver; Hybrid; CAD 100,000 - 130,000; Full time

Benefits offered by this job

Stock option package

Benefits package

Job summary

Ascinta Technologies in Vancouver, BC, is seeking an Applied Physicist to develop SPECT and PET image reconstruction algorithms. You will benchmark, optimize, and validate methods using simulations and clinical data, working with physicists, engineers, and clinicians.

You will translate complex inverse problems into production software, implement high-performance routines in C/C++, and help advance cancer imaging technologies that improve patient care.

Qualifications

• MSc or PhD in Physics, Applied Physics, Medical Physics, Engineering Physics, or related field.
• Strong background in particle physics and radiation detection.
• Experience with inverse problems and mathematical optimization concepts.
• Experience implementing Monte Carlo simulations (Geant4, GATE, MCNP, FLUKA).
• Strong programming in Python and C/C++.

Responsibilities

• Design, implement, and validate iterative tomographic reconstruction algorithms for quantitative SPECT and PET imaging.
• Develop Monte Carlo particle transport simulations of imaging systems with system modeling.
• Generate simulated PET/SPECT datasets and define quantitative performance metrics.
• Write high-performance reconstruction code in C/C++ and optimize for CPU/GPU hardware.
• Collaborate with software engineers to integrate reconstruction workflows into Ascinta's ecosystem.

Skills

Python

C/C++

Data analysis

Problem solving

Collaboration

Education

MSc or PhD in Physics or related

Tools

Geant4

GATE

MCNP

FLUKA

CUDA

Job description

Ascinta Technologies in Vancouver, BC, is seeking an Applied Physicist to develop SPECT and PET image reconstruction algorithms. You will benchmark, optimize, and validate methods using simulations and clinical data, working with physicists, engineers, and clinicians.

You will translate complex inverse problems into production software, implement high-performance routines in C/C++, and help advance cancer imaging technologies that improve patient care.