AnsibleHealth
Data Scientist
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AnsibleHealth
AnsibleHealth unites physicians, nurses, respiratory therapists, and tech experts from premier institutions to revolutionize care for patients with chronic cardiopulmonary conditions. We merge elite clinical expertise with cutting‑edge technology to deliver personalized, efficient care at scale and are backed by top venture capital. If you’re passionate about transforming healthcare through technology and data, join our diverse team to make a tangible impact.
The Job We are seeking an exceptional Data Scientist to develop and deploy sophisticated machine‑learning models and advanced analytics solutions to transform patient care for complex cardiopulmonary conditions. You will leverage clinical, operational, and device‑generated data to build predictive algorithms that support clinical decision‑making, optimize care pathways, and improve patient outcomes. Working at the intersection of healthcare and data science, you will collaborate with clinicians, engineers, and researchers to translate scientific insights into practical applications.
Key Responsibilities
Design, develop, and implement machine‑learning models and algorithms to predict clinical outcomes, identify at‑risk patients, and optimize treatment protocols for 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.
Qualifications
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 NumPy, SciPy, pandas, and ML frameworks such as PyTorch, TensorFlow, or scikit‑learn.
Experience building and deploying machine‑learning models in production environments.Advanced knowledge of statistical analysis, experimental design, and causal inference.
Preferred Skills
Experience with healthcare data, including 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.
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–
AnsibleHealth
AnsibleHealth unites physicians, nurses, respiratory therapists, and tech experts from premier institutions to revolutionize care for patients with chronic cardiopulmonary conditions. We merge elite clinical expertise with cutting‑edge technology to deliver personalized, efficient care at scale and are backed by top venture capital. If you’re passionate about transforming healthcare through technology and data, join our diverse team to make a tangible impact.
The Job We are seeking an exceptional Data Scientist to develop and deploy sophisticated machine‑learning models and advanced analytics solutions to transform patient care for complex cardiopulmonary conditions. You will leverage clinical, operational, and device‑generated data to build predictive algorithms that support clinical decision‑making, optimize care pathways, and improve patient outcomes. Working at the intersection of healthcare and data science, you will collaborate with clinicians, engineers, and researchers to translate scientific insights into practical applications.
Key Responsibilities
Design, develop, and implement machine‑learning models and algorithms to predict clinical outcomes, identify at‑risk patients, and optimize treatment protocols for 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.
Qualifications
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 NumPy, SciPy, pandas, and ML frameworks such as PyTorch, TensorFlow, or scikit‑learn.
Experience building and deploying machine‑learning models in production environments.Advanced knowledge of statistical analysis, experimental design, and causal inference.
Preferred Skills
Experience with healthcare data, including 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.
#J-18808-Ljbffr