Senior AI Scientist

About the role

We are looking for a talented Senior 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 utilie 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
• Mentor junior researchers and drive AI development processes
• 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 work experience after PhD or 4+ years experience after MS
• 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, CVP