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AI Scientist

  • Source: LinkedIn
  • Covera Health
  • Remote
  • New York City
  • Full-Time
  • Mid level

Job Description

About the company At Covera Health, we’re on a mission to improve healthcare by making every diagnosis more accurate.

Every year, millions of patients receive imaging that shapes life changing medical decisions. Yet too often, important findings are missed, patients struggle to access high quality imaging, and the healthcare system treats radiology like a commodity instead of one of the most critical moments in a patient’s care journey.

We’re changing that.

Covera combines clinical expertise, advanced AI, and one of the industry’s largest radiology quality datasets to help detect disease earlier, improve diagnostic accuracy, and give clinicians greater confidence in every decision they make. Better diagnoses lead to better treatment, fewer unnecessary procedures, lower healthcare costs, and, most importantly, better outcomes for patients.

In 2026, Covera and Medmo came together to create the first platform designed to support the entire radiology journey. From helping patients find and schedule high quality imaging, to coordinating care, to ensuring the accuracy of every diagnosis, we’re building a connected experience that simply hasn’t existed before.

Backed by Insight Partners, our platform supports nearly 6 million people across Fortune 10 and Fortune 100 employers, three of the five largest national health plans, and thousands of value based primary care physicians.

This is an exciting moment to join Covera. We’re building technology that is helping detect serious conditions earlier, improving the quality of care for millions of patients, and redefining what healthcare can be. If you’re excited by meaningful work, ambitious teammates, and the opportunity to help save lives through better healthcare, we’d love to meet you.

About the role We are looking for a talented AI Scientist with a focus on Deep Learning to join us in our commitment to improve the quality of care for patients in every community across the nation. You will work with an experienced multidisciplinary team of talented AI scientists, data scientists, engineers, and clinicians to leverage unique healthcare data (in the form of MRI/X-Ray/CT images, clinical reports, and beyond). You will have the opportunity to work with extremely diverse and entirely unique radiology and healthcare datasets that extend to all phases of care delivery (referral, diagnosis, therapy, and outcome/follow-up) from the perspective of all key stakeholders (patients, providers, payers). You will utilize state-of-the-art compute resources, both in-house and on cloud.

In this role, you will be expected to{{:}}

  • Create AI algorithms that will be deployed to reduce misdiagnosis in radiology and improve patient care
  • Investigate, develop and evaluate new AI methods to improve Covera’s understanding of radiology reports and images
  • Drive innovation and publications and represent Covera Health at scientific and industry conferences
  • Collaborate with data science, clinical and engineering team members to help us build and deploy our clinical research roadmap
  • Be passionate about improving patient care using AI
  • Play an active role in further building the Covera team by joining interview panels and contributing to cross-company projects after onboarding

Requirements{{:}}

  • PhD or MS in computer science, math, physics or related discipline.
  • 2+ years of experience after MS or a PhD with a good AI publication record
  • Strong deep learning background and familiarity with state-of-the-art NLP and/or CV techniques.
  • Applied programming experience in Python and PyTorch.
  • Experience conducting independent research.
  • Excellent ability to work well as an individual contributor as well as within a multidisciplinary team environment
  • Strong communicator with excellent interpersonal skills and can-do attitude.
  • Preferred experience{{:}}

  • Exposure to medical imaging applications of AI
  • Experience training at scale with multi-gpu setups and large volumes of data. Experience with methods such as model and data parallelism, model sharding and mixed-precision training .
  • Contribution to research communities and/or journals, including NIPS, ICML, ACL, CVPR, MICCAI, etc.

Benefits

  • Comprehensive medical plans - choose from three plans, including one with 100% of premiums covered for you and your dependents
  • Vision & Dental
  • Flexible Time Off - take the time you need, when you need it
  • 401(k) Retirement Pla…

Skills

  • Python
  • PyTorch
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