AI Scientist, Computer Vision / Medical Imaging
About the company
At Covera, we're committed to ensuring high-quality healthcare is more than just a promise. That's why we're leading the way in the emerging science of quality, and connecting providers and payers in their shared quest to improve patient outcomes and care quality. By tackling this challenge, we have the ability to impact millions of lives by raising the standard of care nationwide.
Our initial focus is radiology, where an early and accurate diagnosis has a profound impact on the rest of a patient's care journey. Through our work, which uses clinically-validated science-based tools, we're helping doctors enhance their care, ensuring patients get the right diagnosis, and enabling the healthcare system to support quality improvement at scale.
Through our clinical intelligence platform, we have launched programs that help people access the most effective care and provide doctors with AI-powered quality insights and tools to enhance their care. Today, Covera is partnered with leading employers, payers and healthcare organizations across the US, including Walmart and Microsoft. And, with a pipeline representing over 25% of insured Americans, we are in the early stages of improving care quality for all patients across the globe.
In August 2021, we raised a $25M Series C financing round with Insight Partners, a leading global venture capital and private equity firm investing in high-growth companies driving transformative change in their industries.
About the role
We are looking for a talented AI Scientist with a focus on Deep Learning and Computer Vision to join us in our commitment to improve the quality of care for patients in every community across the nation. It is crucial that you have a Masters or PhD with a thesis and work in the application of image analysis methodologies.
You will work with a growing multidisciplinary team of talented data scientists, other statisticians, engineers, and researchers to leverage unique healthcare data (in the form of MRI images, clinical reports, claims data, and beyond) to create new and improved methods for assessing and predicting the quality of care delivered by healthcare providers and determining the impact that care quality has on overall patient outcomes and cost. You will have the opportunity to work with extremely diverse and entirely unique medical image 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).
Your responsibilities will include helping to execute the company’s AI strategy in the area of medical image analysis, as well as to further create, extend, and validate the image analysis algorithms in use at Covera Health. You will play a key role in producing and sharing the results we achieve with the broader scientific community.
You will be expected to:
- Develop robust algorithms and techniques using image analytics, computer vision, and deep learning across a variety of large and diverse medical image datasets
- Validate analysis and solutions using or enhancing existing methodologies, frameworks, and architecture to create, extend, and validate models for image segmentation, detection and classification
- Design criteria and methods for evaluating the performance of image analysis algorithms on test and real clinical data
- Research and recommend tools, algorithms, and solutions in line with our quality of care improvement strategy
- Collaborate with internal and external teams and clinical partners to implement our clinical research roadmap
- Contribute to the enhancement and extension of all our data analytics pipelines and environment
- Collaborate with data science team members and other colleagues on research activities
- Help to shape Covera Health’s medical image analysis and broader data analytics strategy by identifying new opportunities
Requirements
- PhD or MS in computer science or related field with work experience as a Research Scientist in Image Analysis or Computer Vision
- 2+ years of industry working experience preferred
- Strong deep learning background and familiarity with state-of-the-art techniques in object detection, segmentation, classification, and regression models. Familiarity with approaches for uncertainty of data noise, meta-learning, active-learning, and/or deep reInforcement Learning is a plus.
- Applied programming experience in Python, C, and/or C++
- Experience with libraries and tools like Tensor Flow, PyTorch, Keras, and CUDA
- Contribution to research communities and/or journals, including NIPS, ICML, ACL, CVPR, ICCV, ECCV etc.
- 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 to work and thrive in a fast paced team environment
Benefits
You will be a full-time employee with competitive salary, stock options, and great benefits. These benefits include medical, dental, and vision insurance, HRA, 401k, pre-tax commuter benefits, flexible paid time off, and--when we go back to the office--a comfortable office space filled with a variety of quality snacks and beverages. Most importantly, you’ll get to know each of us and we love to work together to find solutions. We are a talented, fun, focused, and unique team of people who are truly passionate about changing healthcare for the better! Even while remote, you'll experience the Covera culture as we offer a host of virtual experiences including a book club, fitness club, guest speakers, dynamic Slack channels, and more!