Postdoctoral Fellow-MSH-32030-003

About the role

The BioMedical Engineering and Imaging Institute (BMEII) at The Icahn School of Medicine at Mount Sinai is seeking a Postdoctoral Fellow to implement and analyze novel ultrahigh field MRI of the brain for applications in cognitive impairment and Alzheimer’s disease. This is an excellent opportunity to conduct innovative imaging research as a member of a team of technical and clinical experts with access to state-of-the-art imaging equipment.

Responsibilities

• Independent research, contributions to publications and grants, and leadership roles within the Institute.
• Work on implementation of MRI acquisition and analysis methods at 7 Tesla (7T).
• Contribute to translational research integrating MRI data, gut microbiome metrics, and blood markers.
• Work on image acquisition on patients and healthy volunteers and post-processing of imaging data.
• Involvement in and organization of patient recruitment with study coordinator.
• Develop and explore machine learning to perform integrated data analysis.
• Effective communication and serving as a liaison between teams at BMEII and the University of Missouri.
• Development of own research projects within the mission areas of the BMEII.

Qualifications

• PhD in Engineering, Physics, Chemistry, Mathematics, Computer Science, Neuroscience or a related field.
• Demonstrated research experience and publication records are necessary.

Employer Description

The Mount Sinai Health System is committed to fostering an environment where everyone can contribute to excellence. We share a common dedication to delivering outstanding patient care. When you join us, you become part of Mount Sinai’s unparalleled legacy of achievement, education, and innovation as we work together to transform healthcare. We encourage all team members to actively participate in creating a culture that ensures fair access to opportunities, promotes inclusive practices, and supports the success of every individual.

Compensation

The salary range for the role is $72500 - $80000 Annually. Actual salaries depend on a variety of factors, including experience, education, and operational need.