Description

You will lead the technical design and implementation of AI, ML, and generative AI capabilities for a digital health platform.

Responsibilities

• Lead the technical design and software development of federated data management and federated learning systems.
• Design complex mathematical models and statistical methods to analyze multi-modal clinical data, including EHR, claims, and remote monitoring data.
• Develop predictive models to identify health risks, recommend interventions, and personalize care journeys.
• Build AI-based agents and chatbots to enhance consumer engagement and care management efficiency.
• Engineer automated feature engineering pipelines to ensure scalability and reproducibility.
• Validate machine learning models using cross-validation and external validation to ensure clinical relevance.
• Collaborate with product, engineering, clinical, and behavioral science teams to deliver intelligent features.

Required Skills

• 5+ years of experience developing data management systems for large volumes of data.
• 2+ years of experience developing data science, analytics, and AI/ML solutions.
• Proven track record of deploying machine learning models in production environments.
• Proficiency in Python or R.
• Experience with ML frameworks such as TensorFlow or PyTorch.
• MS or PhD in Computer Science, Statistics, Applied Mathematics, Biostatistics, or a related field (BS degree considered if experience is aligned).
• Ability to translate complex technical concepts to non-technical stakeholders.
• Experience applying mathematical and statistical methods to real-world problems.

Preferred Skills

• Experience with natural language processing, computer vision, or time-series analysis.
• Experience with healthcare data, analytics, or healthcare technology applications.
• Understanding of healthcare data standards and clinical workflows.

Key Skills

Education

Bachelor's degree