Quantitative MRI R&D Engineer – Mid/Senior

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November 21

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Corsmed

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Healthcare Insurance • Education • Software

Corsmed is a Swedish medtech and software startup that develops an advanced MRI simulation platform, often referred to as "the flight simulator of MRI". Founded in 2017, the company's mission is to improve global healthcare by educating current and future MRI operators. Their technology, based on extensive research from Lund University, is utilized worldwide to enhance patient care. The company emphasizes inclusiveness, professionalism, and a humble work culture, with teams in Stockholm, Lisbon, and Athens focused on product development, sales, marketing, and operations.

11 - 50 employees

Founded 2016

⚕️ Healthcare Insurance

📚 Education

💰 Venture Round on 2020-09

📋 Description

• 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

🎯 Requirements

• 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 • Experience in free-breathing cardiac imaging and associated reconstruction workflows (e.g., XD-GRASP, low-rank motion-resolved approaches, non-Cartesian cardiac reconstructions) is a plus • Familiarity with quantitative MRI techniques (biophysical modeling, mapping pipelines, simulation-based qMR) is a nice to have • Experience with numerical optimization, signal modeling, or physics-based simulation is advantageous • Proficiency in Python • Experience with scientific computing or machine learning frameworks (PyTorch, TensorFlow) • Good engineering habits: version control, testing culture, reproducibility, and clean code principles

🏖️ Benefits

• Competitive salary • Flexible working hours • Professional development opportunities • Remote work options