Annotation Specialist, Medical Reports (Part-Time Contractor)
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.
This position is for 15 - 25 hours per week, and some work can be done remotely via a secure web browser at flexible hours. There is a required virtual training session.
Responsibilities
Leverage your (radiology) clinical training and knowledge to label phrases and key terms within radiology reports through a web application
Have the ability to interpret medical reports promptly and accurately, and distinguish the meaning and context of specific medical terms
Collaborate with the data science team to help improve the annotation interface and contribute your ideas to improve the annotation process
Learn basic machine learning knowledge to better understand how annotations are used, allowing you to make more judgement calls on edge cases that may come up during labeling
Requirements
Clinical (radiology) experience and/or training, heavy preference for experience with radiology:
Medical Student (4th Year) experience in radiology rotation
MRI / CT Radiology Technologist with experience with radiology reports
Physician’s Assistant with experience with radiology reports
Doctor of Medicine (MD)
Physical Therapist with experience with radiology reports
Other equivalent medical training / experience with radiology reports
**No Medical Licensure / Malpractice Required**
- Prior experience with radiology, radiology reports, and radiology nomenclature / naming conventions associated with radiology, is heavily preferred
Ability to read and comprehend medical documents quickly and accurately, identifying the meaning of specific text and phrases
Ability to work autonomously and meet bi-weekly deadlines
Detail oriented, patient, and meticulous
Excellent written and verbal communication skills
Strong computer skills with proficiency in Google Docs, Google Sheets, or similar MS Office software
Passionate about technology, data science, and healthcare
Benefits
Flexible schedule, can work remotely or on-site following a mandatory on-site training
Frequent team outings and events
Bright, open office located in the Hudson Square area of Lower Manhattan
- Kitchen stocked with snacks, espresso and cold brew
Work with a group of passionate, fun, focused team passionate about changing healthcare