Covera Health is transforming how quality health care is measured and delivered. We’re starting in radiology where the wrong diagnosis can lead to a cascade effect of misguided care, enormous patient harm and, for some, a missed opportunity for recovery. An early and accurate diagnosis is the patient’s best chance to get better – this is the crucial problem we’re solving, and the mission we’re on.
Our first product uses a proprietary framework that leverages advanced data science and artificial intelligence to help patients recover better, faster, and more affordably. Today, we are working with some of the largest healthcare payers in the country to impact millions of patient lives.
We believe in a world without misdiagnoses. We believe in a world in which every patient receives the treatment they need to lead a healthy life. And we’re a team that is passionate about solving some of healthcare’s toughest problems.
About the role
We are looking for a talented Director of Artificial Intelligence to join us in our commitment to improve the quality of care for patients across the country. You will bring your leadership experience in medical imaging analysis to provide technical mentorship to our Artificial Intelligence team and ensure that sound deep learning modeling, methodologies, and best practices are utilized to develop tools for automated quality assessments of radiology exams. You will partner with AI and data science team members to identify and prioritize opportunities to improve collection of pertinent imaging data. You will remain on the cutting edge of technology advancements and will have the opportunity to work with entirely unique and diverse radiology data sets, with key clinical experts in the radiological field. You will have a critical impact on the whole company by influencing our Artificial Intelligence strategy and driving efforts to improve the quality of care for millions of patients.
It is crucial that you have a PhD with a thesis and work in application of medical imaging, or machine learning methodologies.
You will be expected to: