Research Fellow - Thiels AI
Research Fellow - Thiels AI
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Job Description
We are seeking a highly motivated and talented postdoctoral fellow to join our Surgical Outcomes and Oncology research team in The Department of Surgery at Mayo Clinicin the field of Machine Learning and Artificial Intelligence (AI). The position is for a 2year paid fellowship (minimum 1 year commitment) with the possibility of extension beyond 2 years based on performance and availability of funding. Fellows would work under the mentorship ofDr. Cornelius Thiels Surgeon in the Division of Hepatobiliary & Pancreas Surgery andDr. Hojjat Salehinejad Scientist in theKern Center for the Science of Health Care Delivery & Assistant Professor of Health Care Systems Engineering. The successful candidate will have the opportunity to work with a dynamic and collaborative research team and make significant contributions to the advancement of medical AI research.
Responsibilities:
Conduct original research in AI and related fields including designing and implementing experiments developing algorithms and analyzing results.
Publish research findings in toptier medical conferences and journals.
Collaborate with other researchers and team members to advance research goals and solve challenging problems.
Participate in the development of new research proposals and assist with grant writing.
A Research Fellow at Mayo Clinic is a temporary position intended to provide training and education in research. Individuals will train in the research program of a Mayo Clinic principal investigator. Qualified individuals will demonstrate the potential for research as evidenced by their training and peerreviewed publications and should become competitive for national research grants. Upon background check and CCATS Executive Committee approval Research Fellow may have patient/research subject contact directly relating to and incidental to the original research program. Proof of English proficiency is required for J1 ShortTerm Scholars Research Scholars Professors Specialists and Student Interns sponsored by Mayo Clinic.
Qualifications
Ph.D. in Computer Science Electrical Engineering or a related field with a strong emphasis on AI machine learning or related fields or a MD DO or equivalent doctoral in a field deemed relevant by the program. Candidates in training or those with without advances degrees who have prior work experience are also encouraged to apply. Surgical trainees with relevant prior experiences who are able to take time out of their training (lab years) are also encouraged to apply.
The application is open to both clinicians research candidates and those in technology sector including those currently in training or have recently completed training (postdoc). The expectation at the end of the fellowship is that the fellow will be well prepared to become a leader in Healthcare AI/ML either in the academic or biotechnology setting.
The ideal candidate must have strong expertise in data structures and algorithms Python programming language (including libraries such as Pandas Scikitlearn) shell scripting Tensorflow/PyTroch (preferred) and/or machine learning (particularly deep learning). Expertise in statistical learning and random processes Docker DBMS (e.g. MySQL Redis) and Google Cloud Services (GCP) is a plus. The candidate must have a trackrecord of publications/scientific writing and have strong proficiency in all four skills of English language including ideally experience in writing scientific manuscripts.
Employment Type
Full-Time
