Remote Data Scientist - Transform Healthcare with AI

About the Role

Join Ansible Health as a Remote Data Scientist and be part of a groundbreaking team dedicated to transforming healthcare through data-driven solutions. In this role, you will develop and deploy sophisticated machine learning models that directly impact patient care for complex cardiopulmonary conditions. Your work will leverage clinical, operational, and device-generated data to create predictive algorithms that enhance clinical decision-making and improve patient outcomes.

What You'll Do

• Design, develop, and implement machine learning models and algorithms to predict clinical outcomes and optimize treatment protocols for polychronic cardiopulmonary conditions.
• Apply advanced statistical methods to analyze complex patient data, extracting meaningful patterns and insights that drive clinical and operational improvements.
• Build and deploy natural language processing solutions to extract valuable information from unstructured clinical notes and medical literature.
• Develop time-series models to analyze continuous monitoring data from medical devices and wearables, identifying early warning signs of patient deterioration.
• Create and validate clinical decision support algorithms that provide actionable insights for healthcare providers.

Requirements

• Master's degree or PhD in Data Science, Machine Learning, Computer Science, Statistics, Biostatistics, or a related quantitative field.
• Proven experience applying machine learning and statistical modeling to solve real-world problems, preferably in healthcare or life sciences.
• Strong programming skills in Python, including proficiency with scientific computing libraries (NumPy, SciPy, pandas) and ML frameworks (PyTorch, TensorFlow, scikit-learn).
• Experience building and deploying machine learning models in production environments.
• Advanced knowledge of statistical analysis, experimental design, and causal inference.

Nice to Have

• Experience with healthcare data, particularly EHR systems, medical imaging, or clinical time-series data.
• Knowledge of FHIR standards and healthcare interoperability frameworks.
• Familiarity with cardiopulmonary conditions, respiratory care, or chronic disease management.

What We Offer

• Opportunity to make a significant impact on patient care for complex conditions and shape the future of digital health.
• A highly collaborative, mission-driven, and innovative work environment.
• Exposure to cutting-edge health technology, AI applications, and data practices.
• Competitive salary, equity options, and comprehensive benefits package.
• Significant opportunities for professional development and career growth.
• Work alongside experts from top clinical and technology institutions.