Project Manager- Medical Coding / Medical Transcription

You will be responsible for managing a team of healthcare professionals to normalize a large volume of healthcare data into standard medical ontologies. The ideal candidate will have experience in managing large teams, defining and leading Key Performance Indicators (KPIs), and collaborating with clients. Prior experience in large-scale healthcare data operations and services is highly beneficial. As a Project Manager for medical data projects, you will work full-time on various medical data types to create datasets for machine learning applications. Your responsibilities will include ensuring timely project delivery within scope and budget, coordinating internal resources and external vendors, developing project plans, reporting to management, managing client relationships, conducting risk management, and maintaining project documentation. To qualify for this role, you should have a minimum of 12 to 15 years of experience in scribing, transcription, or coding in medical documentation. Proficiency in medical transcription proofreading, reviewing physician-patient encounter summaries, and documenting clinical content across multiple specialties is required. Knowledge of medical terminology, AHDI guidelines, patient history, diagnosis, prescription writing, and medical abbreviations is essential. Clinical education or training in a relevant field is a plus. Key skills for this position include a strong understanding of medical concepts, excellent listening and comprehension skills for medical audio recordings, proficient English reading and communication abilities, computer literacy, passion for healthcare improvement, and flexibility to work night shifts. In return, you can expect strong compensation, exposure to innovative companies in healthcare and AI, growth opportunities, and a collaborative international work environment. This role is with iMerit, a well-funded global leader in data services, particularly in the medical sector. iMerit's Medical Division partners with major pharmaceutical companies, medical device manufacturers, and hospital networks to provide data for advancing Artificial Intelligence technologies like digital radiology, digital pathology, clinical decision support, and autonomous robotic surgery.,