Research Fellow- Neurosurgery

About the role

Mayo Clinic's Department of Neurosurgery in Rochester, MN is recruiting up to two postdoctoral Fellowship positions in artificial intelligence. The position is for a 1-2 year paid fellowship working under the mentorship of Dr. Gelareh Zadeh and Dr. Hojjat Salehinejad. The application is open to both clinicians and research candidates, including those currently in training or have recently completed training (post-doc).

Responsibilities

The ideal candidate must have strong expertise in data structures and algorithms, Python programming language (including Tensorflow/PyTroch), Linux shell scripting, DBMS (e.g. MySQL, Redis), Docker, stochastic processes, statistical learning, and machine learning (particularly deep learning). Expertise in Google Cloud Services (GCP) is a plus.

The candidate must have a track-record of publications/scientific writing and have strong proficiency in all four skills of English language, particularly experience in writing scientific manuscripts. It is anticipated that in addition to an independent research projects candidate will assist in developing the strategies specific to discovery research and deploying AI approaches within the Department of Neurosurgery.

Qualifications

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

Skills

Strong expertise in data structures and algorithms, Python programming language (including Tensorflow/PyTroch), Linux shell scripting, DBMS (e.g. MySQL, Redis), Docker, stochastic processes, statistical learning, and machine learning (particularly deep learning). Expertise in Google Cloud Services (GCP) is a plus.

Benefits

Mayo Clinic provides reasonable accommodations to individuals with disabilities to increase opportunities and eliminate barriers to employment. If you need a reasonable accommodation in the application process; to access job postings, to apply for a job, for a job interview, for pre-employment testing, or with the onboarding process, please contact HR Connect at 507-266-0440 or 888-266-0440.