Research Scientist

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I. DEPARTMENT INFORMATION

Job Description

Summary:

The Biostatistics Center ( BSC ) of the Milken Institute School of Public Health is an off-campus research facility of The George Washington University located in Rockville, Maryland. The BSC serves as the coordinating center for large scale multi-center clinical trials and epidemiological studies funded by federal agencies including the National Institutes of Health. The BSC is a leader in the statistical coordination of major medical research programs of national and international scope.

Visit our website at:
www.bsc.gwu.edu .

We are seeking a Research Scientist specializing in Machine Learning, Data Science, Data Harmonization, and Synthetic Data Generation to lead the integration, standardization, and privacy-preserving algorithmic modeling of complex, multi-site datasets. In this role, you will bridge the gap between complex data infrastructure, cutting-edge machine learning, and synthetic data generation—building automated transformation pipelines, harmonizing disparate clinical/observational data structures (e.g., OMOP CDM , FHIR ), and generating high-fidelity synthetic datasets to accelerate secure collaborative research without compromising data privacy.

Experience with high-dimensional multi-omics data analysis and integration is highly desirable.

Key Responsibilities:

• Generative Modeling: Design, train, and validate generative machine learning models (GANs, VAEs, diffusion models, and LLM
  -based tabular synthesizers) to generate high-fidelity synthetic tabular, longitudinal, and multi-omic datasets.
• Privacy Assurance & Risk Assessment: Implement rigorous privacy-preserving methodologies (differential privacy, membership inference attack testing, re-identification risk metrics) to guarantee synthetic datasets meet strict governance and compliance standards.
• Utility & Fidelity Evaluation: Establish automated benchmark suites comparing distributional fidelity, feature correlations, cross-sectional/