Anumana is a pioneering AI-drivenhealth technology companyat the forefront of transforming cardiovascular care. Born out of a collaboration between nference and the Mayo Clinic, we are dedicated to unlocking the secrets of the heart'selectrical signals to enable earlier detection, more precise diagnoses, and improved treatments for heart disease.
Our portfolio of ECG-AI algorithms is redefining how clinicians can leverage routine medical data to identify and manage cardiovascular conditions. As a company operating in a highly regulated and mission-critical domain, we are committed to the highest standards of quality, security, and scientific rigour.
As an Imaging analyst, you will play a crucial role in ensuring the accuracy and reliability of data sets for our Data Science team. This position involves manually annotating and labeling data items, supporting various streams within the team/project, and providing day-to-day support to the project leads and teams.
Detailed Role & Responsibilities:
1) Analyzing Medical Images:
- Proficiently examine various medical images such as CT scans, Transesophageal
echocardiograms, Ultrasound, MRIs, and X-rays.
- Identify and annotate specific regions or structures of interest within the images.
- Employ a keen eye for detail to ensure accurate identification and marking.
2) Precise Manual Annotations:
- Learn and adapt to use specialized annotation software or tools for performing accurate and exact manual annotations.
- Employ expertise to mark and label relevant areas or structures within the medical images.
- Ensure meticulous attention to detail to maintain the quality and reliability of the annotations.
3) Collaboration with Experts:
- Collaborate closely with Radiologists, Cardiologists, clinicians or researchers to comprehend the annotation requirements.
- Seek insights from domain experts to enhance the accuracy and relevance of the annotations.
- Foster effective communication to address any quer