Covera is looking to improve the quality of patient care, specifically by reducing misdiagnosis in radiology and enhancing the understanding of radiology reports and images through AI.
Requirements
- 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
- 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.
Responsibilities
- 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
- Mentor junior researchers and drive AI development processes
- Be passionate about improving patient care using AI
Other
- PhD or MS in computer science, math, physics or related discipline
- 2+ years of work experience after PhD or 4+ years experience after MS
- 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
- Preference for candidates located in the Eastern or Central Time Zones.
