Machine Learning Scientist - Healthcare Predictive Modeling

ALTEA Healthcare is a leading healthcare organization committed to revolutionizing the delivery of outpatient/post-acute care. We are seeking an experienced Machine Learning Scientist/Engineer with deep subject matter expertise in building and deploying predictive models in healthcare to our team. As an important member of the AI team, this person will contribute significantly to designing, implementing, and deploying AI/ML predictive applications to improve care delivery and quality for post-acute patients.

Responsibilities:

• Lead the full end-to-end machine learning development process including data ingestion and preparation, feature engineering, analysis and modeling, model deployment, performance tracking and documentation
• Process data of multiple types (vitals, labs, medications, medical codes, notes) and incorporate into predictive models to improve accuracy
• Develop evaluation processes that ensure accuracy, fairness, reproducibility, and scalability
• Work with software engineers to incorporate predictive models into the EHR system
• Incorporate feedback from cross-functional teams and refine the ML models through quick iteration cycles

Requirements:

• Master’s or PhD degree in Computer Science, Data Science, Machine Learning, Biomedical Engineering, or a related field
• Strong experience in developing, deploying, and scaling predictive algorithms in healthcare settings
• Strong understanding and experience using Explainable AI methods to improve interpretability of models for care providers to understand
• Experience working with various health data types (time series, low-frequency labs, medications, notes, medical codes)
• Strong experience building models using ‘classical’ ML algorithms (XGBoost, CatBoost, Random Forest, LightGBM) and neural network architectures (LSTM, GRU, transformers, language models)
• Excellent communication skills to collaborate effectively with cross-functional teams and translate business requirements into technical specifications
• Good understanding of the full ML system development, deployment, and maintenance lifecycle
• Ability to work independently and collaboratively, manage priorities, and deliver high-quality results within project timelines
• Experience writing production-grade code is a plus

Job Type: Full-time

Pay: Competitive pay and benefits and extremely valuable startup stock options

Schedule: Full Time

• Work Location: Hybrid position in Houston preferred, with remote options available for exceptionally qualified candidates.

Benefits:

• 401(k)
• Dental insurance
• Health insurance
• Vision insurance