Healthcare Data Scientist: Forecasting & Patient Matching

Care Access; United States; Remote; USD 120,000 - 160,000; Full time

Job summary

Care Access is seeking a senior data scientist to develop statistical models for site randomization forecasting and patient matching. You will build predictive models using Bayesian methods, regression, and time-series analysis to support clinical research and healthcare services.

In this regulated healthcare environment, you will ensure HIPAA compliance and collaborate with ML engineering and product teams to integrate models into our platforms.

Qualifications

• Master's or PhD in Statistics, Data Science, or related field.
• 5+ years of data science experience in regulated healthcare environments.

Responsibilities

• Develop statistical models for site randomization forecasting and patient matching.
• Build predictive models using Bayesian methods, regression, and time-series analysis.
• Partner with ML engineering and product teams to integrate models into products.
• Ensure HIPAA and GDPR compliance in all data science work.

Skills

Bayesian methods

Regression

Time-series analysis

Education

Master's or PhD in Statistics, Data Science, or related field

Job description

Care Access is seeking a senior data scientist to develop statistical models for site randomization forecasting and patient matching. You will build predictive models using Bayesian methods, regression, and time-series analysis to support clinical research and healthcare services.

In this regulated healthcare environment, you will ensure HIPAA compliance and collaborate with ML engineering and product teams to integrate models into our platforms.