MR Imaging Scientist, Artificial Intelligence

Scorpion Therapeutics; Cincinnati (OH); On-site; USD 110,000 - 170,000; Full time

Job summary

Scorpion Therapeutics seeks a lead professional to develop and optimize MR imaging techniques, focusing on acquisition, reconstruction, and post-processing to enhance speed and quality. You will design advanced imaging algorithms and drive collaborations with academic and clinical partners.

The role involves translating prototypes into market-ready solutions and disseminating findings through publications and presentations. Strong ML and programming skills are required.

Qualifications

• Master's degree in engineering, computer science, math, or physics.
• 4+ years of MR imaging experience.
• Strong knowledge of MR physics.
• Programming in Python or C++.
• Familiarity with machine learning frameworks.

Responsibilities

• Design and implement advanced imaging algorithms.
• Lead collaborations with academic and clinical partners.
• Translate prototypes into commercial solutions.
• Disseminate research through publications and presentations.

Skills

MR image acquisition

MR image reconstruction

MR physics

Python

C++

Machine learning frameworks

Education

Master's degree in engineering, computer science, math, or physics

Job description

Role: Lead development of innovative MR imaging techniques, focusing on acquisition, reconstruction, and post-processing methods to enhance scan speed, image quality, and robustness.

Responsibilities: design and implement advanced imaging algorithms, lead collaborations with academic and clinical partners, translate prototypes into commercial solutions, and disseminate research through publications and presentations.

Requirements: Master's degree in engineering, computer science, math, or physics; 4+ years of experience in MR image acquisition, reconstruction, or related fields; strong knowledge of MR physics, programming skills in Python or C++, and familiarity with machine learning frameworks.

HighValue: MR imaging, pulse sequence design, AI-enabled reconstruction, accelerated imaging, motion correction, clinical utility, publication record.

WorkSetup: Not specified.