Overview In this role you will advance MRI technology by integrating hardware and software to address clinical needs. You'll work with an interdisciplinary team across 1.5T-7.0T platforms, shaping next gen sub-systems and clinically relevant applications. You drive concept development, prototyping, and validation in both clinical and preclinical settings, while collaborating with academia and industry to publish and patent innovations.
Compensation / Benefits- medical
- dental
- vision
- paid time off
- 401(k) with employee and company contributions
- life insurance
Responsibilities- Conceptualize and prototype novel MR systems and applications leveraging advanced sub-systems (gradients, RF coils, receivers)
- Develop and deploy investigational MR applications and systems for clinical and preclinical validation
- Assess how hardware performance impacts image quality and safety
- Create hardware- and algorithm-based solutions for MR-guided therapy and interventional use
- Foster external collaborations through joint publications, grants, and advanced technology development
- Collaborate with clinicians to refine technologies for clinical adoption
- Generate invention disclosures and file patents to create IP
- Maintain visibility via conference presentations and peer-reviewed publications
Key requirements- Ph.D. degree in Physics, Electrical Engineering, Biomedical Engineering, Chemistry, Computer Engineering, or related fields with at least 3 years of research experience
- Proven record of research outcomes in peer-reviewed venues
- Strong fundamentals in MR imaging physics and sub-systems, signal processing, and electromagnetism
- Strong problem-solving skills addressing root causes of MR image quality issues in prototypes
- Proficiency in programming in C and Python and/or simulation tools
- Legal authorization to work in the United States
- Willingness to work at the office in Niskayuna, NY
- Origination and follow-through on ideas
- High curiosity, independence, and adaptability
- Strong interpersonal and communication skills
- MR imaging physics and sub-systems
- Signal processing and electromagnetic theory
- EM and multi-physics modeling for RF/transmit and gradient bioeffects
