Job Description

Company Description CareQuotient is a pioneering healthcare technology company headquartered in Bengaluru, dedicated to bringing about a transformative change in the field of radiology. Our mission is to revolutionize radiology by harnessing the power of artificial intelligence (AI) to develop innovative tools tailored for radiologists and radio-oncologists. Our cutting-edge products are designed to enhance the efficiency of radiologists by providing advanced pre-detection of abnormalities in clinical scans. These tools not only assist in the diagnostic decision-making process but also enable the monitoring of patients\' longitudinal responses to therapy. At CareQuotient, we are committed to making a profound impact on the world of healthcare through our AI-driven solutions, ultimately improving patient outcomes and the practice of radiology. Role Description CareQuotient is currently offering a full-time, hybrid position for an Artificial Intelligence Researcher. In this role, the Artificial Intelligence Researcher will play a pivotal role in the development, validation, and implementation of AI solutions tailored for medical imaging applications, with a particular focus on breast cancer care. We are seeking a candidate who possesses a deep passion for solving challenges in the field of medical imaging and is enthusiastic about creating and deploying algorithms for image processing, pattern recognition, and deep learning. As a key member of our team, the candidate will collaborate closely with clinical practitioners and radiologists to ensure the effectiveness and relevance of our AI solutions. While this role is based in Bengaluru, we offer flexibility for remote work, allowing for a balanced and adaptable work environment. Qualifications A minimum of a Master\'s degree (PhD preferred) in Computer Science, Artificial Intelligence, Electrical Engineering, Biomedical Engineering or a related field Strong programming skills in Python or C Research skills, with experience in presenting research findings in scientific conferences Experience in working with DICOM formats Expertise in Image Processing, Pattern Recognition and Machine Learning techniques Experience in working with large datasets and databases Excellent problem-solving skills Strong written and verbal communication skills Experience in healthcare or related industries is a plus Experience in Natural Language Processing or Computer Vision is a plus

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