AI/ML Scientist – Healthcare
Description: • 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 production-readiness, 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 • Partner with product managers, designers, and software engineers to embed ML capabilities into digital products and decision support tools • Develop documentation, model APIs, and integration specifications to support seamless model deployment in production systems • Provide insights and recommendations to support product roadmap decisions and feature prioritization • Ensure ML solutions are reliable, maintainable, and explainable, implementing monitoring and retraining strategies to maintain performance and adapt to data drift • Align development with healthcare compliance requirements (HIPAA, HITRUST, SOC 2) and promote ethical use of AI • Stay up to date with emerging research in ML and health AI and conduct competitive analysis of commercial and open-source AI/ML tools • Contribute to internal knowledge sharing and build a culture of applied innovation and product-driven development 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) • Master’s degree in Computer Science, or a related field • PhD in Computer Science, or a related field (listed) • Ability to sit at a desk and utilize a computer, telephone, and other basic office equipment • Must pass Background Screen and Drug Screen prior to employment • Employees required to adhere to HIPAA regulations and company policies regarding confidentiality, privacy, and security of sensitive health information • Preferred: Experience with MLOps tools and practices (e.g., MLflow, SageMaker, Airflow, Docker) • Preferred: Familiarity with clinical coding systems (ICD, CPT, SNOMED) and interoperability standards (FHIR, HL7) • Preferred: Background in building AI features in healthcare SaaS or digital health products • Preferred: Awareness of AI regulatory and ethical guidelines in healthcare (e.g., model interpretability requirements) Benefits: • Remote - Work from home (Mountain) • Diversity & equal employment opportunity (All qualified applicants will receive consideration) • Drug-free workplace • Background screen required prior to employment • Drug screen required for newly hired employees • Adherence to HIPAA regulations and company privacy/security policies • California applicants have CCPA data access and correction rights (contact [email protected]) Apply tot his job