Job summary
Job post source
This job is directly from Medical Review Institute of America
Job overview
The AI/ML Scientist role at Medical Review Institute of America focuses on designing and productizing machine learning solutions to improve healthcare utilization management, enhancing operational efficiency and customer experience.
Responsibilities and impact
The role involves translating business and clinical needs into ML use cases, adapting ML techniques for healthcare workflows, collaborating with developers and product teams to integrate ML models into products, managing data preprocessing and model evaluation, ensuring compliance and operational reliability, and staying updated with ML innovations.
Experience and skills
Requires 3+ years in applied ML or data science with 1-2 years in ML product integration, strong Python and ML library skills, experience with healthcare data, knowledge of classification, NLP, time series forecasting, and model operationalization; preferred qualifications include MLOps experience, familiarity with clinical coding and interoperability standards, and healthcare AI regulatory awareness.
Work environment and culture
The company promotes diversity and inclusion, supports remote work, and maintains a drug-free workplace with compliance and background screening requirements.
Company information
Medical Review Institute of America specializes in healthcare utilization management solutions, focusing on applying AI/ML to improve healthcare operations and product capabilities.
Job location and travel
This is a remote, work-from-home position requiring basic office equipment use.
Application process
Applicants must pass background and drug screening, comply with company regulations, and can request data corrections via HR email.
Unique job features
The role uniquely integrates cutting-edge ML research with practical healthcare applications, emphasizing scalability, compliance, and ethical AI use in healthcare environments.
Company overview
Medical Review Institute of America, LLC (MRIoA) specializes in providing independent medical peer reviews and utilization management services to healthcare organizations, insurance companies, and government agencies. They generate revenue by offering expert medical opinions that assist in determining the necessity and appropriateness of medical treatments and services. Founded in 1983, MRIoA has established itself as a trusted partner in the healthcare industry, known for its commitment to evidence-based reviews and high standards of clinical excellence.
How to land this job
Position your resume to emphasize your experience in applying machine learning techniques specifically in healthcare utilization management, highlighting skills in classification, NLP, and time series modeling to solve practical business problems.
Highlight your collaboration skills with cross-functional teams including developers, product managers, and data engineers to showcase your ability to integrate ML solutions into scalable, customer-facing healthcare products.
Apply through multiple channels such as the Medical Review Institute of America's corporate careers page and LinkedIn to maximize your visibility and chances for consideration.
Connect with professionals in the AI/ML or product development divisions at Medical Review Institute of America on LinkedIn; start conversations by referencing recent healthcare AI trends, asking about team culture, or expressing enthusiasm for their innovative ML applications in healthcare.
Optimize your resume for ATS by incorporating keywords from the job description like 'healthcare utilization management,' 'machine learning integration,' 'NLP,' 'model evaluation,' and 'compliance with healthcare regulations' to ensure your resume passes initial screenings.
Use Jennie Johnson's Power Apply feature to automate tailored applications, identify multiple application portals, and find relevant LinkedIn contacts, allowing you to focus your time on preparing for interviews and networking.
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