AI Scientist

Role overview

Join Covera Health as an AI Scientist focused on Deep Learning, working with a multidisciplinary team to build AI algorithms using healthcare data to improve patient care.

Responsibilities

• Design and develop AI algorithms to help reduce diagnostic errors in radiology.
• Collaborate with multidisciplinary teams to build and deploy the clinical research roadmap.
• Contribute to innovation, publish research, and represent Covera Health at scientific and industry conferences.

Requirements

• Ability to conduct independent research.
• 2+ years of experience after an MS or PhD with a strong AI publication record.
• Strong communication and interpersonal skills, with a can-do attitude.
• Applied programming experience in Python and PyTorch.
• PhD or MS in computer science, math, physics, or related field.
• Strong deep learning background, including familiarity with state-of-the-art NLP and/or CV techniques.
• Comfortable working both as an individual contributor and within a multidisciplinary team.
• Exposure to medical imaging applications of AI.
• Experience training at scale with multi-GPU setups and large datasets, including methods such as:
  • Model and data parallelism
  • Model sharding
  • Mixed-precision training.
• Contribution to research communities and/or journals (e.g., NeurIPS, ICML, ACL, CVPR, MICCAI).

Nice-to-haves

• Research contributions/publications and demonstrated engagement with relevant AI/ML conferences and journals.