Research Fellow – Engineering – Dr. Gong at Mayo Clinic

Why Mayo Clinic

Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and comprehensive benefit plans – to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic.

Benefits Highlights

Medical: Multiple plan options.
Dental: Delta Dental or reimbursement account for flexible coverage.
Vision: Affordable plan with national network.
Pre-Tax Savings: HSA and FSAs for eligible expenses.
Retirement: Competitive retirement package to secure your future.

Responsibilities

The Department of Radiology at Mayo Clinic in Rochester, Minnesota is seeking a highly qualified postdoctoral Research Fellow for the CT Clinical Innovation Center, a worldwide leader in the field of medical CT imaging. Using state-of-the-art clinical and pre-clinical CT systems, our highly productive team investigates a wide range of CT-related topics, with a focus on developing novel, high impact CT technologies. In partnership with a leading manufacturer of medical CT imaging systems, we also have a track record of translating these innovations into clinical practice. Founded in 2004, our multi-disciplinary, highly collaborative team has published over 500 peer-reviewed papers, patented numerous technologies, and been continuously funded with federal, industry, foundation, and intramural research grants. The lab’s current funding portfolio includes 6 grants from the National Institutes of Health. Applicants for this position must hold a Ph.D. degree in Medical Physics, Computer Science, Electrical and Computer Engineering, Biomedical Engineering, or a related field.

Candidates should have a strong background in X-ray physics and imaging science. Expertise in the development of machine learning algorithms for medical imaging tasks, such as image classification, lesion detection, segmentation, and image transformation, is essential. Excellent python programming skills are required. Candidates should be proficient in developing AI models using TensorFlow and / or PyTorch. Experience with physics-driven and multi-modal deep learning is preferred. Candidates must have a record of research publications and have excellent oral and written English communication skills. The successful candidate will be expected to publish significant research findings, provide presentations at academic conferences, and participate in the lab’s applications for extramural funding.

Qualifications

Must have a Ph.D., M.D., or equivalent doctoral degree in a field deemed relevant by the program.

Exemption Status

Exempt

Compensation Detail

$64,787.84 – $80,990.21 annually
Education, experience and tenure may be considered along with internal equity when job offers are extended.

Benefits Eligible

Yes

Schedule

Full Time

Hours/Pay Period

Schedule Details

Monday – Friday 8 am to 5 pm.

Weekend Schedule

International Assignment

Site Description

Just as our reputation has spread beyond our Minnesota roots, so have our locations. Today, our employees are located at our three major campuses in Phoenix/Scottsdale, Arizona, Jacksonville, Florida, Rochester, Minnesota, and at Mayo Clinic Health System campuses throughout Midwestern communities, and at our international locations. Each Mayo Clinic location is a special place where our employees thrive in both their work and personal lives. Learn more about what each unique Mayo Clinic campus has to offer, and where your best fit is.

Equal Opportunity

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, protected veteran status or disability status. Learn more about the “EOE is the Law”. Mayo Clinic participates in E-Verify and may provide the Social Security Administration and, if necessary, the Department of Homeland Security with information from each new employee’s Form I-9 to confirm work authorization.

Recruiter

Victoria Knight

Source link
{link}