Erhalte eine Antwort von diesem Arbeitgeber — ein Lebenslauf und ein Anschreiben, die genau auf die Eigenschaften eingehen, die gesucht werden.
DeepSpin, a HealthTech startup, is building affordable mobile MRI systems in Berlin. You will join a cross-functional software R&D team and help craft sequence design, reconstruction, and ML-driven control loops for low-field MRI.
The role requires strong modeling, signal processing, and software development in Python. Ideal candidates hold an MSc/PhD in a quantitative field, have 5+ years in MRI-related computation, and are fluent in English.
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.
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.
We value high agency, first‑principles thinking, and practical problem‑solving. While we welcome applicants with diverse STEM backgrounds, ideal qualifications include: