The role involves creating authentic biomedical question and answer datasets to benchmark AI systems. Annotators will independently synthesize evidence from scientific literature to ensure factual accuracy and scientific reliability.
The Biomedical SME will map dbGaP variables to standardized vocabularies and design expert-adjudicated reference datasets for AI challenge evaluation. They will also provide technical authority on scientific integrity, benchmark validation, and FHIR-based interoperability.
The engineer will guide cross-functional teams in developing AI prototypes and MVP solutions for medical research and public health use cases. They will also provide knowledge sessions and assist with data engineering tasks to support federal agency projects.
Design and build synthetic data generation pipelines to replicate high-fidelity, statistically representative datasets for AI testing. Collaborate with cross-functional teams to validate data fidelity and document privacy risk assessments for institutional stakeholders.
