Senior Data Scientist – Healthcare Analytics

Ensora HealthWashington, NV

About The Position

We are seeking an experienced Senior Data Scientist with a strong background in healthcare analytics, statistical modeling, and machine learning. In this role, you will work on complex datasets from diverse healthcare sources to develop predictive models, perform advanced statistical analysis, and extract actionable insights. You will play a key role in building data-driven solutions that improve patient outcomes, optimize clinical workflows, and enable next-generation AI-powered healthcare applications.

Requirements

  • Master’s or Ph.D. in Statistics, Data Science, Computer Science, or related field.
  • 5+ years in data science roles, with at least 2 years in healthcare analytics.
  • Strong knowledge of regression models, Bayesian methods, and hypothesis testing.
  • Hands-on experience with ARIMA, Prophet, or deep learning-based time series models.
  • Proficiency in Python (pandas, NumPy, scikit-learn), SQL, and experience with PostgreSQL or similar databases.
  • Experience with Spark, Hadoop, or cloud-based data platforms (AWS, Azure, GCP).
  • Proven ability to design features for complex healthcare datasets.
  • Familiarity with clinical terminologies, EHR systems, and healthcare workflows.

Responsibilities

  • Apply rigorous statistical techniques (regression, hypothesis testing, survival analysis) to healthcare data for predictive and prescriptive analytics.
  • Develop models for forecasting and anomaly detection in longitudinal healthcare data (e.g., patient vitals, treatment timelines).
  • Design and implement robust feature extraction and transformation pipelines for structured and unstructured healthcare data.
  • Work with high-volume datasets from EHRs, claims, and sensor data using distributed computing frameworks (Spark, Dask).
  • Build and validate machine learning models for risk stratification, disease progression, and patient engagement.
  • Ensure compliance with healthcare data standards (HIPAA, HL7, FHIR) and maintain data integrity.
  • Create compelling dashboards and visualizations to communicate insights to clinicians and business stakeholders.
  • Partner with product managers, engineers, and clinical experts to translate business needs into data-driven solutions.
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