Data Scientist

Job not on LinkedIn

November 27

🗽 New York – Remote

Although this job is listed in New York, this company may be open to hiring remote in other states.

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

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Ansible Health

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Healthcare Insurance • Telecommunications • Wellness

AnsibleHealth is a virtual doctor-led medical practice specializing in the care of patients with chronic conditions such as COPD and CHF. By offering remote consultations and personalized treatment plans, AnsibleHealth enables patients to manage their health conveniently from home. The practice accepts most major insurance plans, including Medicare and Medicaid, and emphasizes cost-effective care options. Through innovative virtual health solutions, AnsibleHealth aims to improve patient outcomes and enhance the quality of life for those with chronic health issues.

1 - 10 employees

Founded 2021

⚕️ Healthcare Insurance

📡 Telecommunications

🧘 Wellness

📋 Description

• Design, develop, and implement machine learning models and algorithms to predict clinical outcomes, identify at-risk patients, 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 • Experience with healthcare data, particularly EHR systems, medical imaging, or clinical time-series data (preferred) • Knowledge of FHIR standards and healthcare interoperability frameworks (preferred) • Familiarity with cardiopulmonary conditions, respiratory care, or chronic disease management (preferred)

🏖️ Benefits

• 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.