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# Health IT Data Scientist

- **Company:** JOSEPH'S ASSOCIATES, INC.
- **Location:** United States (Remote available)
- **Contract:** Permanent contract
- **Skills:** Clinical Data Repository, Data Cleansing, Data Infrastructure, Decision Support Systems, Information Technology Operations, Machine Learning, Software Tools, Computational Statistics, Feature Engineering, Model Validation
- **Published:** September 20, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=cf67219ed5d2ef9c

## About the Role

* Demonstrated advanced experience in data science, statistics, predictive analytics, machine learning, or related quantitative disciplines.
 * Proficiency with analytical programming languages and applicable statistical, data-science, visualization, and modeling tools.
 * Knowledge of model development, validation, performance assessment, data
preparation, and analytical governance.

 * Ability to communicate complex analytical concepts and results clearly to technical and nontechnical audiences.
 * Strong problem-solving, documentation, and analytical skills.
 * Experience with healthcare, Health IT, clinical data, or similarly complex regulated data environments is preferred.
 * U.S. Citizenship is required.
 * DHS Clearance is required.

## Description

We are looking for a candidate to perform advanced statistical, analytical, predictive, and data-science work supporting Health IT operations, modernization, planning, and decision support. The Data Scientist develops, evaluates, validates, documents, and operationalizes approved analytical models and methods within authorized Government-managed environments., * Perform advanced exploratory, statistical, predictive, and quantitative analyses using Government-approved data.

 * Develop, test, validate, and document statistical, machine-learning, predictive, forecasting, classification, or other appropriate analytical models.
 * Perform feature engineering, model selection, model validation, performance assessment, and analytical sensitivity testing.
 * Develop reproducible analytical workflows, code, model documentation, data-preparation procedures, and supporting technical artifacts.
 * Evaluate model quality, limitations, assumptions, bias, reliability, interpretability, and suitability for intended uses.
 * Develop visualizations, analytical reports, model-performance summaries, and technical findings.
 * Collaborate with Data Engineers to operationalize Government-approved analytical models within authorized Government-managed environments and support scalability and maintainability.
 * Monitor approved analytical models and methods for performance degradation, changes in underlying data, or other conditions requiring reassessment.
 * Support data-quality assessment, analytical validation, and testing activities.
 * Translate complex analytical results into clear technical and executive-level information appropriate to the intended audience.
Maintain documentation sufficient to support reproducibility, validation, governance, and applicable security and privacy requirements.
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