Ansible Health is hiring a Data Scientist

**About Ansible Health** Ansible Health brings together medical professionals and technological innovators from prestigious institutions like Columbia, Johns Hopkins, Google, and Amazon to reimagine care for patients with complex chronic conditions, especially those with cardiopulmonary challenges. We blend exceptional clinical knowledge with innovative technological solutions to deliver customized, scalable healthcare. Our team's groundbreaking research, featured in premier scientific publications, demonstrates our dedication to transformation. Supported by top-tier venture capital firms including Bessemer, First Round Capital, AlleyCorp, Breyer Capital, and Inflect Capital, we're a well-funded Series A startup collaborating with leading healthcare networks nationwide. Our genuine objective is enhancing patient outcomes through data-driven approaches, not merely optimizing statistical metrics. If you're enthusiastic about revolutionizing healthcare through technological innovation, join our diverse team in creating meaningful impact. **Role Overview** We are recruiting an extraordinary Data Scientist to join our pioneering team. This position involves developing and implementing sophisticated machine learning models and advanced analytical solutions to revolutionize patient care for intricate cardiopulmonary conditions. You'll utilize clinical, operational, and device-generated information to construct predictive algorithms supporting clinical decision-making, optimizing care pathways, and improving patient outcomes. Operating at the intersection of healthcare and advanced data science, you'll collaborate with our multidisciplinary team of clinicians, engineers, and researchers to translate scientific discoveries into practical applications. This opportunity provides a unique platform to apply advanced statistical and machine learning techniques to address meaningful healthcare challenges while contributing to peer-reviewed research initiatives. **Primary Responsibilities** - Create, develop, and implement machine learning models to predict clinical outcomes, identify patient risks, and optimize treatment protocols for complex cardiopulmonary conditions - Apply sophisticated statistical methodologies to analyze intricate patient data, extracting meaningful insights driving clinical and operational enhancements - Construct and deploy natural language processing solutions to extract valuable information from unstructured clinical documentation and medical research - Generate time-series models analyzing continuous monitoring data from medical devices and wearables, detecting early patient deterioration indicators - Design and validate clinical decision support algorithms providing actionable insights for healthcare professionals **Required Qualifications** - Master's degree or PhD in Data Science, Machine Learning, Computer Science, Statistics, Biostatistics, or related quantitative discipline - Demonstrated experience applying machine learning and statistical modeling to real-world problems, preferably in healthcare or life sciences - Exceptional programming skills in Python, including proficiency with scientific computing libraries and machine learning frameworks - Proven experience building and deploying machine learning models in production environments - Advanced understanding of statistical analysis, experimental design, and causal inference **Preferred Capabilities** - Experience with healthcare data, particularly electronic health records, medical imaging, or clinical time-series information - Understanding of FHIR standards and healthcare interoperability frameworks - Familiarity with cardiopulmonary conditions, respiratory care, or chronic disease management **Compensation and Benefits** - Opportunity to significantly impact patient care for complex conditions and shape digital health's future - Collaborative, mission-driven, and innovative work environment - Exposure to cutting-edge health technology and advanced data practices - Competitive salary, equity options, and comprehensive benefits package - Substantial professional development and career growth opportunities - Collaboration with experts from top clinical and technological institutions