Key Responsibilities:Develop and deploy machine learning models for chronic disease prediction and management.Analyze large datasets from wearables, EHR systems, and other sources to identify trends and actionable insights.Collaborate with clinicians, engineers, and product teams to define AI-driven solutions for improving patient outcomes.Work on the integration of AI/ML solutions into the platform to enhance personalization and patient engagement.Design experiments, validate models, and iteratively improve their performance.Stay updated on the latest research and advancements in AI, healthcare, and machine learning.Ensure compliance with healthcare regulations and data privacy standards in all machine learning models.Assist in developing the AI infrastructure to support real-time insights for clinical and operational decision-making.Requirements:4+ years of experience as a Data Scientist or Machine Learning Engineer, preferably in the healthcare industry.Proficiency in Python, R, or similar programming languages for data analysis and machine learning.Strong experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.Familiarity with healthcare datasets (e.g., EHR, wearable data, claims data) and healthcare-specific challenges.Knowledge of AI ethics, data privacy, and healthcare compliance (HIPAA).Strong analytical and problem-solving skills, with the ability to work independently.Experience working with cloud platforms (AWS, Google Cloud) for deploying models.Bachelors or Masters degree in Computer Science, Data Science, Machine Learning, or a related field; PhD preferred.Benefits:Health & Medical (up to 100% paid by employer) Dental & Vision11 Paid HolidaysPTO (up to 20 days)Stock options401kFlexible scheduleFully Remote (US Based)Growth opportunities recblid qk7cne0rc9nls95hiy1d2viz68xt9d