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Applied Physicist - Image Reconstruction

Job in Vancouver, BC, Canada
Listing for: Ascinta Technologies
Full Time position
Listed on 2026-08-17
Job specializations:
  • Research/Development
    Data Scientist
Salary/Wage Range or Industry Benchmark: 100000 - 130000 CAD Yearly CAD 100000.00 130000.00 YEAR
Job Description & How to Apply Below
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 new algorithms and software that enable scalable, image-guided personalized 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.

Position Overview  We are hiring an Applied Physicist to 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 medical physicists, software engineers, and clinical collaborators to translate these methods into production software.
If you enjoy developing new algorithms,solving inverse and computational physics problems, and optimizing code efficiency while making areal impacton healthcare, you are probably agreat fit for our team!

Key Responsibilities  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.

Minimum Qualifications   M.Sc. or Ph.D. degree in Physics, Applied Physics, Medical Physics, Engineering Physics, or a related field.
Strong background in particle physics: 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 with implementing

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.

Preferred Qualifications   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 inverse problems.

Experience with noise modeling.

Experience with GPU programming (CUDA preferred) and parallel computing.
Relevant publications in high-impact journals.
Compensation   Starting annual salary in therangeCDN $100,000 – $130,000 depending on prior experience and with annual increasescommensuratewith performance.
Stock option package.
Benefits package.
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