MRI Scientist (m/f/d)

About the Role

You will join our cross-functional Software R&D team in Berlin, working at the intersection of computational physics, sequence design, and machine learning. You will be responsible for building sequences, and reconstruction algorithms that define how our low-field hardware operates and captures diagnostic-grade images.

Key Responsibilities

In this role, you will play a crucial part in achieving market-leading image quality on our mobile low-field MRI systems. Your day-to-day responsibilities will include:

• Numerical Spin Simulations: Develop and refine numerical spin models to model machine behavior and non-ideal field dynamics.

• Sequence Design & Optimization: Design, implement, and optimize custom pulse sequences tailored for low-field.

• Physics-Informed ML Integration: Integrate physical MRI domain models into our deep learning pipelines to enhance control loops, parameter mapping, and image reconstruction.

• Raw Data Analysis & Reconstruction: Analyze raw k-space signal data from prototype hardware and build robust image/signal reconstruction algorithms.

• Cross-Disciplinary Collaboration: Work closely with our hardware engineers and software developers to translate physical models into production-ready console software.

We value high agency, first-principles thinking, and practical problem-solving. While we welcome applicants with diverse STEM backgrounds, ideal qualifications include:

Required Qualifications

• Education: Advanced degree (M.Sc. or Ph.D.) in Physics, Computer Science, Applied Mathematics, Biomedical Engineering, or a related quantitative field.

• Domain Expertise: 5+ years of experience applying computational mathematics and signal processing to MRI.

• Pulse Sequences & Raw Data: Hands-on experience designing pulse sequences and processing/reconstructing raw MRI k-space data.

• Software Skills: High proficiency in Python and the scientific computing stack (PyTorch, NumPy, SciPy).

• Soft Skills: First-principles thinking, proactive problem-solving, and fluent English communication skills.

Preferred Qualifications

• Experience with low-field or ultra-low-field (<0.1T) MRI physics and hardware constraints.

• Familiarity with clinical MRI workflows, phantom/tissue scanning, and diagnostic requirements.

• Good foundation in software engineering best practices (version control, modular architecture, CI/CD).

• A strong scientific track record (publications in leading MRI/computational journals or conference presentations like ISMRM/MICCAI).

About DeepSpin

DeepSpin is a HealthTech startup on a mission to make Magnetic Resonance Imaging (MRI) universally accessible. Today, 7 out of 10 people globally lack access to this life-saving diagnostic tool. We are changing that. Driven by proprietary physics and AI-powered innovation, we are stripping away the multi-million dollar price tags and massive infrastructure requirements of traditional scanners to build affordable, mobile, ultra-low-field MRI systems.

Backed by leading global VCs, we are expanding our world-class Software R&D team in Berlin. This is a unique opportunity to join a high-impact team dedicated to bringing affordable medical imaging to billions of people worldwide.