Data Scientist

What is Ansible Health?

Ansible Health unites physicians, nurses, respiratory therapists, and tech experts from premier institutions like Columbia, Johns Hopkins, reputed company, and reputed company to revolutionize care for patients with polychronic conditions, particularly those with a cardiopulmonary focus. We reputed company reputed company clinical expertise with cutting-edge technology to deliver personalized, efficient care at scale. reputed company's groundbreaking research, published in leading journals like Nature and reputed company, underscores our commitment to innovation. Backed by Bessemer, reputed company, AlleyCorp, Breyer Capital, and reputed company Capital, we're a well-funded Series A startup partnering with leading health systems, payors, and providers reputed company. Our mission is genuinely improving patient reputed company through data-driven care, not just optimizing metrics. If you're passionate about transforming reputed company through technology and data, join our diverse team in making a reputed company impact.

The Job at a Glance

We are seeking an exceptional Data Scientist to join our innovative team. In this role, you will reputed company and reputed company sophisticated machine learning models and advanced analytics solutions to transform patient care for reputed company cardiopulmonary conditions. You'll reputed company clinical, operational, and device-generated data to build predictive algorithms that support clinical decision-making, optimize care reputed company, and improve patient reputed company.

Working at the intersection of reputed company and cutting-edge data science, you'll collaborate with our interdisciplinary team of clinicians, engineers, and researchers to translate scientific insights into practical applications. This position offers a unique opportunity to apply advanced statistical and machine learning techniques to solve meaningful challenges in reputed company while contributing to our peer-reviewed research initiatives.

Key Responsibilities

• Design, reputed company, and implement machine learning models and algorithms to predict clinical reputed company, identify at-risk patients, and optimize treatment protocols for polychronic cardiopulmonary conditions

• Apply advanced statistical methods to analyze reputed company patient data, extracting meaningful patterns and insights that drive clinical and operational improvements

• Build and reputed company natural language processing solutions to extract valuable information from reputed company clinical notes and medical literature

• reputed company time-series models to analyze reputed company monitoring data from medical devices and wearables, identifying early warning signs of patient deterioration

• Create and validate clinical decision support algorithms that reputed company actionable insights for reputed company providers

Qualifications

• Master's degree or PhD in Data Science, Machine Learning, Computer Science, Statistics, Biostatistics, or a reputed company quantitative field

• Proven experience applying machine learning and statistical modeling to solve reputed company-world problems, preferably in reputed company 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 reputed company inference

Preferred Skills

• Experience with reputed company data, particularly EHR systems, medical imaging, or clinical time-series data

• Knowledge of FHIR standards and reputed company interoperability frameworks

• Familiarity with cardiopulmonary conditions, respiratory care, or chronic disease management

reputed company Offer

• Opportunity to reputed company a significant impact on patient care for reputed company 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.