Insurely
Quantitative MRI R&D Engineer (Mid / Senior)
Location: Remote (Europe preferred)
Team: Quantitative MRI Research & Engineering
Corsmed is redefining quantitative MRI through physics-accurate digital twins of scanners, using them as a platform to deliver reliable and clinically meaningful tissue parameter mapping that enhances diagnostic insight, shortens examinations, and reduces overall imaging cost. We operate where advanced physics, numerical methods, high-performance computing, and modern software engineering converge.
We are expanding our R&D team and are looking for engineers and researchers who want to shape the future of quantitative MRI alongside a group of highly motivated domain experts.
What you will do
- Design, analyze, and prototype advanced MR sequences and novel simulation features to expand our physics-accurate MRI simulation platform.
- Develop and validate reconstruction and optimization methods for qMR applications, including emerging workflows in motion-resolved imaging.
- Take ownership of translating research concepts into robust, production-ready software modules.
- Explore new scientific directions, evaluate technical opportunities, and contribute to long-term architecture and roadmap decisions.
- Collaborate with a distributed team of physicists, engineers, and scientists working across Europe.
What we’re looking for
Core experience
- Strong understanding of MRI physics and pulse sequence design.
- Practical experience with image reconstruction and optimization algorithms (e.g., parallel imaging, compressed sensing, model-based reconstruction, deep learning-based methods).
- Hands‑on experience with at least one clinical MRI system.
Nice to have
- Experience in free‑breathing cardiac imaging and associated reconstruction workflows (e.g., XD‑GRASP, low‑rank motion‑resolved approaches, non‑Cartesian cardiac reconstructions).
- Familiarity with quantitative MRI techniques (biophysical modeling, mapping pipelines, simulation‑based qMR).
- Experience with numerical optimization, signal modeling, or physics‑based simulation.
Software skills
- Proficiency in Python.
- Experience with scientific computing or machine learning frameworks (PyTorch, TensorFlow) is considered a plus.
- Good engineering habits: version control, testing culture, reproducibility, and clean code principles.
Who you are
- Curious, self‑driven, and eager to tackle complex scientific and engineering problems.
- Comfortable working both independently and within a distributed team.
- Strong communication skills in English.
- Motivated by a fast‑moving environment where innovation and scientific rigor go hand in hand.
- Looking to grow with the company and take on leadership responsibilities over time.
Join us if you want to work on cutting‑edge MRI technology, contribute to foundational qMR simulation tools, and shape a field that is rapidly advancing.
Applications with CV and a short personal letter are welcome—we look forward to meeting you.
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