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Added 2 months ago
R
Founding AI Quality & Release Engineer
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- Full-time
- Remote
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Added 1 month ago
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Added 2 months ago
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- $30,000 to $60,000 CAD / year
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Added 2 months ago
AT
Applied Physicist - Image Reconstruction
Ascinta Technologies
Vancouver, BC
- Full-time
M.Sc. or Ph.D. degree in Physics, Applied Physics, Medical Physics, Engineering Physics, or a related field.
Added 2 months ago
SH
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Added 2 months ago
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Added 2 months ago
MC
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Ascinta Technologies

Applied Physicist - Image Reconstruction

Vancouver, BC, Canada

Starting annual salary in the range CDN $100,000 – $130,000 depending on prior experience and with annual increases commensurate with performance. · Full-time

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Job details

Pay: Starting annual salary in the range CDN $100,000 – $130,000 depending on prior experience and with annual increases commensurate with performance.
Job type: Full-time
Posting language: English
Posted: Aug 13, 2026

Original job description

About Us

Cancer is a leading cause of death globally, and based on North American statistics, approximately half of the population will develop some form of cancer during their lifetime. At Ascinta, 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 and a 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, and theranostics. 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 SPECT and PET image 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 a real impact on healthcare, you are probably a great fit for our team!

Key Responsibilities

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

Design, implement, and validate iterative tomographic reconstruction algorithms for quantitative SPECT and PET imaging.
Develop and validate Monte Carlo particle transport simulations of imaging systems with system modeling.
Generate simulated validation PET/SPECT datasets; define quantitative performance metrics and verify accuracy under varied conditions.
Formulate and solve inverse problems, including accurate system 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’s software 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 Python and C/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 the range CDN $100,000 – $130,000 depending on prior experience and with annual increases commensurate with performance.
Stock option package.
Benefits package.

Why Join Us?

Cutting-edge innovation: be part of a dynamic and growing company committed to advancing medical technology and patient care.
Career and professional growth opportunities: we promote and support a culture of continuous learning, certification, and participation in workshops and conferences.
Dynamic work environment where initiative and innovation are encouraged.
Healthy work/life balance with flexible work schedule and options for partially remote work
Opportunity to participate in collaborative research projects with journal and conference publications.
Exposure and access to a network of collaborators, advisors, and early adopters in the healthcare industry and academia.
For qualified international candidates: Canada offers clear immigration pathways, fast-track work permits for skilled tech workers, universal healthcare that isn't tied to your employer, statutory paid vacation and severance, strong gun control, and a safe, inclusive place to live and work.

Location

Vancouver, BC, Canada

How to Apply

Interested candidates should submit their CV/resume and a cover letter detailing their relevant experience and qualifications to careers@ascinta.com. Please include “Applied Physicist Application” in the subject line.

Ascinta is proud to be an Equal Opportunity employer. We are committed to creating a diverse, equitable, and inclusive workplace where everyone feels valued and respected. We believe that diverse perspectives drive innovation and excellence. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. If you need assistance or a reasonable accommodation due to a disability, please send a request to careers@ascinta.com.

Join us in our mission to save lives by transforming cancer therapy through technology and innovation! We look forward to receiving your application!

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More about this job

Responsibilities

Design, implement, and validate iterative tomographic reconstruction algorithms for quantitative SPECT and PET imaging. Develop Monte Carlo particle transport simulations and optimize high-performance reconstruction code for CPU/GPU hardware.

Requirements

Requires an M.Sc. or Ph.D. in Physics or a related field with a strong background in particle physics and inverse problems. Proficiency in C++, Python, and experience with Monte Carlo simulation tools like Geant4 or GATE is essential.

Skills

Image Reconstruction
SPECT
PET
Monte Carlo Simulations
C++
Python
Inverse Problems
Linear Algebra
Numerical Methods
GPU Programming
CUDA
Iterative Optimization
Particle Physics
System Matrix Modeling
Parallel Computing

Benefits

Stock Option Package
Benefits Package
Flexible Work Schedule
Professional Growth Opportunities

Visa sponsorship

Not detected in the job text

Keywords

Applied Physics
Medical Physics
Image Reconstruction
SPECT
PET
Monte Carlo
Geant4
GATE
MCNP
FLUKA
C++
Python
CUDA
GPU
Inverse Problems
Expectation Maximization
Linear Algebra
Nuclear Medicine
Theranostics
Tomography
Attenuation Correction
Scatter Correction
Regularization
Noise Modeling
Parallel Computing
Quantitative Imaging

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