Data Scientist

1 week ago


Chennai, India Leading Healthcare Industry Full time

Mandatory education:Masters in Computer science, Electrical Engineering, Mathematics or StatisticsSubmitted a few scientific papersMandatory skills:- Strong programming ability in both scripting and object-oriented programming languages is required (C/C++, C#, python, R)• Working knowledge of deep learning frameworks and libraries like pytorch, caffe, tensor flow and high-level APIs like Keras is preferable but not required• Prior exposure to machine learning and related fields is preferable but not required• Motivated, self-driven and with a strong ability to learn independently• Familiar with DICOM & Medical Raw image formats and it's applications• Familiar with Data science tools- Strong knowledge of regulatory needs related to medical devices, AI products in healthcareGood to have:PhD in Computer science, Physics, Electrical Engineering, Mathematics or StatisticsScientific Papers publishedPatentsProject:The candidate would be working on one of the AI application within the AI-Rad Companion suite of clinical AI applications. TheJob description:The role of the data scientist is to be a bridge between the research teams developing Medical Imaging related AI algorithms, the engineering teams productizing it, the Regulatory team filing for country regulatory clearances and the clinical customers.Clear understanding of the fundamentals of medical imaging, radiology in particular is essential to perform the role.Understanding of the regulatory clearances and it’s needs for supporting evidence for AI algorithms is necessary as the person facilitates these inputs working closely with the research team and regulatory teams.High level Understanding of the AI and it’s applications in clinical context is essential to bring the information related to performance and reliability metrics.Work closely with the clinical evaluation report writers to provide insights into the AI application.Experience: PhD + 4-6 years experience or Masters + 8+ years of experience


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