Health IT Data Scientist

PMdigital.ai is looking for a Health IT Data Scientist to join our growing team. This work will be performed primarily in a remote/virtual environment but may require on-site activities at IHSC Headquarters in Washington, DC on an as-needed basis, as determined by the Government.  

Summary: Performs 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. 

Required Knowledge, Skills, and Abilities 

• 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.