Healthcare Data Scientist: Predictive Analytics

Goldbelt Apex, LLC; Washington (District of Columbia); Hybrid; USD 112,000 - 136,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) with company match

Paid time off

Professional development opportunities

Job summary

Goldbelt Apex, LLC seeks a Statistician (Data Scientist) to apply advanced statistical and machine-learning methods to healthcare data. You will uncover patterns and generate predictive insights to support DHA/MTF operations in the National Capital Region, with on-site duties and limited telework approval.

The role requires strong analytical skills, experience with SQL/Python/R, and a track record of translating complex results into actionable recommendations for senior leadership.

Qualifications

• Bachelor's degree in a quantitative field (healthcare informatics, stats, CS, public health).
• Minimum 5+ years of MHS or VA healthcare data analytics experience.
• Experience with SQL, Python, and R; active Secret clearance required.

Responsibilities

• Develop and validate predictive models to forecast patient demand and resources.
• Conduct quantitative analyses to evaluate clinical and operational initiatives.
• Build scalable ETL pipelines for data extraction, transformation, and loading.
• Create interactive dashboards and reports using Tableau or Power BI.
• Communicate findings clearly to senior leaders and stakeholders.
• Ensure data integrity and reproducibility with thorough documentation.

Skills

Organizational skills

Education

Bachelor's degree in Healthcare Informatics or related quantitative field

Tools

SQL

Python

R

Job description

Goldbelt Apex, LLC seeks a Statistician (Data Scientist) to apply advanced statistical and machine-learning methods to healthcare data. You will uncover patterns and generate predictive insights to support DHA/MTF operations in the National Capital Region, with on-site duties and limited telework approval.

The role requires strong analytical skills, experience with SQL/Python/R, and a track record of translating complex results into actionable recommendations for senior leadership.