Senior AI Scientist

Summary

Join Covera Health as a Senior AI Scientist and contribute to improving patient care through AI-powered solutions. You will collaborate with a multidisciplinary team to develop and deploy AI algorithms for radiology, leveraging unique healthcare datasets. Responsibilities include creating AI algorithms to reduce misdiagnosis, investigating new AI methods to improve understanding of radiology reports and images, driving innovation and publications, collaborating with other teams, mentoring junior researchers, and being passionate about improving patient care. This role requires a PhD or MS in a related field, 2+ years of experience after a PhD or 4+ years after an MS, a strong deep learning background, experience with Python and PyTorch, and excellent communication skills. Preferred qualifications include experience with medical imaging AI applications, training at scale with multi-gpu setups, and contributions to research communities. Covera offers a competitive salary, comprehensive benefits, and a remote-first work environment.

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

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

Preferred Qualifications

• 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
• Covera Fridays - once a month, Covera takes a fully paid day off to unplug and recharge
• 401(k) Retirement Plan
• Annual Professional Development Stipend to invest in courses, books, or any other professional development related activity
• Annual Wellness stipend for fitness, mental health or other wellness expenses