MRIoA is seeking an experienced and pragmatic AI/ML Scientist to drive the design and productization of machine learning solutions tailored to healthcare utilization management, aiming to improve operational efficiency, automate decisions, and enhance customer experience.
Requirements
- At least 3 years of experience in applied Machine Learning (ML) or data science.
- 1 year of experience integrating ML into software products.
- Experience working with real-world healthcare data, claims, Electronic Health Record (EHR), and clinical text.
- Experience applying ML to structured and unstructured data, particularly in classification, NLP, or time series forecasting.
- Strong Python programming skills.
- Knowledge of ML libraries, scikit-learn, TensorFlow, PyTorch, Hugging Face, or XGBoost.
- Knowledge of model evaluation, validation, and operational considerations (e.g., scalability, explainability, monitoring).
Responsibilities
- Translate business and clinical requirements into machine learning use cases focused on automation, decision support, and risk prediction in the utilization management domain.
- Adapt and optimize existing machine learning techniques—including classification, NLP, and time series modeling—to address specific operational workflows and data structures.
- Collaborate with developers to rapidly prototype and iterate on ML models with a focus on productionreadiness, scalability, and integration into customer-facing products.
- Contribute to the design of intelligent services (e.g., automated prior authorization, clinical rule learning, denial prediction) that directly impact product capabilities.
- Collaborate with data engineers to acquire, preprocess, and structure healthcare data from diverse sources (claims, EHR, clinical notes).
- Perform data wrangling and feature engineering to enable robust modeling pipelines.
- Evaluate and tune model performance using business-relevant metrics (e.g., precision, recall, F1, ROI), ensuring alignment with product goals and customer needs.
Other
- Ability to sit at a desk, utilize a computer, telephone, and other basic office equipment is required.
- This role is designed to be a remote position (work-from-home).
- All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law.
- All candidates are required to pass a Background Screen before beginning employment.
- Employees are required to adhere to all applicable HIPAA regulations and company policies and procedures regarding the confidentiality, privacy, and security of sensitive health information.
