Applied Physicist - Image Reconstruction

Cancer is a leading cause of death globally, and based on North American statistics,approximately halfof the population will develop some form of cancer during their lifetime. AtAscinta, we are developing groundbreaking newalgorithms and software that enable scalable, image-guidedpersonalized cancer therapies.

We are an innovative, energetic, and agile company based in Vancouver, BC –one of the World’s most livable cities anda growing hub for biotechnology and life sciences industries. We are on a mission to positively transform healthcare through advanced science and technologies, with a particular focus on nuclear medicine, imaging, andtheranostics. Our big vision is to enable computing-driven, personalized, and affordable cancer therapy at every clinic in the world.

We are hiring an Applied Physicistto work on the development of SPECTand PETimage reconstruction algorithms. The work will involve benchmarking and optimization of established iterative reconstruction methods, physics modeling supported by Monte Carlo simulations, and method validation using simulated, phantom, and clinical datasets. You will work alongside medicalphysicists, software engineers, and clinical collaborators to translate these methods into production software.

If you enjoydeveloping new algorithms,solvinginverse and computational physics problems, and optimizing code efficiency while making areal impacton healthcare, you areprobably agreat fit for our team!

As an Applied Physicist at Ascinta, your responsibilities will consist of the following:

• Design, implement, andvalidateiterative tomographic reconstruction algorithms for quantitative SPECT and PET imaging.
• Develop and validate
  
  Monte Carlo particle transport simulations of imaging systems with system modeling.
• Generate simulatedvalidationPET/SPECT datasets; define quantitative performance metrics and verify accuracy under varied conditions.
• Formulate and solve inverse problems, includingaccuratesystem matrix modeling and corrections for physical degradation effects.
• Write high-performance reconstruction code in C/C++ (or a comparable systems-level language), and optimize the speed, efficiency, and resource footprint of computationally intensive workloads on modern CPU/GPU hardware.
• Benchmark reconstruction performance with systematic parameter optimization using realistic patient simulations and phantom scans.
• Collaborate with software engineers to integrate reconstruction workflows into Ascinta’ssoftware ecosystem.
• Participate in scientific research activities; contribute to technical reports, conference presentations, and peer-reviewed publications.

• M.Sc. or Ph.D. degree in Physics, Applied Physics, Medical Physics, Engineering Physics, or a related field.
• Strong background in particlephysics: radioactive decay, photon and particle interactions with matter, and radiation detection.
• Experience with formulating and solving inverse problems; fundamental / mathematical understanding of iterative optimization algorithms such as Expectation Maximization.
• Deep understanding of numerical methods and linear algebra.
• Hands-on experience withimplementing
  
  Monte Carlo particle simulations (e.g.Geant4, GATE, MCNP, FLUKA, or similar).
• Strong programming experience with
  
  PythonandC/C++or similar-level compiled languages.
• Proven ability to analyze complex data and make logical, data-informed conclusions.
• Attention to detail with aptitude for granular problem-solving.

• Knowledge of tomographic image reconstruction algorithms; prior experience with SPECT or PET reconstruction, including attenuation and scatter corrections.
• Experience with regularization techniques and modern optimization methods for large-scale…