Data Scientist
Ansible Health
full-time
Posted on:
Location Type: Remote
Location: Remote • New York • 🇺🇸 United States
Visit company websiteJob Level
Mid-LevelSenior
Tech Stack
NumpyPandasPythonPyTorchScikit-LearnTensorflow
About the role
- 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.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learningstatistical modelingnatural language processingtime-series analysisPythonNumPySciPypandasPyTorchTensorFlow
Certifications
Master's degreePhD