Health IT Data Scientist

Job Information

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* Date Opened 09/15/2026 * Job Type Contract * Industry IT Services * Remote Job Job Description -------------------

This is a remote position.

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.

Duties and Responsibilities

* 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. *

### Requirements

• 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.