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 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
• Mentor junior researchers and drive AI development processes
• Be passionate about improving patient care using AI

Special Considerations: 

While we are a remote-first company with employees located across the U.S., we do have a NYC office located at Penn 1. Many of our local employees come into the office on Wednesdays for collaboration and connection (and lunch!). We have a preference for candidates located in the Eastern or Central Time Zones.

Your profile:

• 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, 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

The minimum and maximum salary for this position ranges from $170,000 to $190,000, in addition to a discretionary bonus and comprehensive benefits package. Final salary will be based on a number of factors including but not limited to, a candidate’s qualifications, skills, competencies, experience, expertise and location.

At Covera Health, we strive to build diverse teams that reflect the people we want to empower through our technology. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. Equal Opportunity is the Law, and Covera Health is proud to be an equal-opportunity workplace and affirmative action employer. If you have a specific need that requires accommodation, please let a member of the People Team know.