Senior Data Analyst - Cardiovascular Medicine

Friday 7th January 2022

Organization Mayo Clinic
Location Rochester MN
Title Senior Data Analyst - Cardiovascular Medicine
URL https://apply.mayoclinic.org/TGnewUI/Search/home/HomeWithPreLoad?partnerid=25309&siteid=5278&PageType=JobDetails&jobid=2915724
Email Address daniels.stephanie@mayo.edu
Description 
The Department of Cardiovascular Medicine at Mayo Clinic is seeking a Senior AI Engineer (Sr. Data Science Analyst) to partner with us to expand existing AI expertise and in the development of novel AI models in the echocardiography lab.
The AI engineer will have a unique opportunity to develop AI expertise relevant to this unique field of medicine, by observing procedures, attending grand rounds, and learning the clinical process and the requirements for implementing the tools developed in the clinical practice, while creating state-of-the-art AI computer vision models, and developing intellectual property.

Minimal requirements are expertise in the development of machine learning models (preferably in python), deep learning frameworks(TensorFlow or PyTorch), statistical data processing, regression techniques, neural networks, probability theory, data science methods (Pandas or similar data mining packages). Preferred requirements are advanced knowledge of healthcare data types, topics, and scientific challenges and approaches. This role requires a unique combination of skills that are needed to complete the AI development cycle (research and data mining, model development and validation, and implementation).

The Sr. AI engineer will partner with clinicians and other medical experts as part of the cardiology AI team, at Mayo, and work closely with the clinical practice to validate and deploy applications to bring AI and analytic solutions to patients, often at the point of care.

Other responsibilities:
•Provides advanced data insights for complex business problems that can be approached with analytics techniques to collect, explore, and extract insights from structured and unstructured data.
•Has advanced expertise in the methods used to analyze data and advanced knowledge of data types, topics, and scientific challenges and approaches.
•Will work with other staff in developing data analysis tools and predictive models, using advanced data analysis techniques and artificial intelligence and machine learning.
•Participates in discovery processes with stakeholders to identify the business requirements and the expected outcome.
•Leads the interpretation of data analysis and writing reports.