AI/ML Scientist, Healthcare
Employment Information
Job Description
AI/ML Scientist translating ML research into practical tools at healthcare utilization management company. Collaborative role in data science, product development, and healthcare operations.
Responsibilities:
- This role is focused on translating proven ML research and existing algorithms into practical, scalable tools that improve operational efficiency, automate decisions, and enhance the internal and external customer experience.
- 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 closely 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.
- Ensure ML solutions are reliable, maintainable, and explainable, supporting long-term operation in healthcare environments.
- Implement monitoring and retraining strategies to maintain performance and adapt to data drift.
- Stay up to date with emerging research in ML and health AI, identifying opportunities to apply new techniques pragmatically.
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.
Benefits:
- Fully remote
- Medical
- Dental
- Vision
- Paid Time Off (PTO)
- Paid Sick Leave (PSL)
- Paid Holidays
- Profit Sharing
- 401(k) Savings Plan
- Short-Term and Long-Term Disability
- Tuition and Scholarship Assistance
- Voluntary Life Insurance
- Pet Health Insurance
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