You will act as the scientific authority to define expert reasoning for imaging tasks and build gold-standard datasets for AI benchmarks. Additionally, you will partner with software engineers to develop analysis pipelines and adjudicate ambiguous biological images to ensure high-quality ground truth.
You will act as the scientific authority to define expert reasoning and build rigorous benchmarks for AI agents in neuroscience. This involves designing research scenarios, curating multi-modal datasets, and adjudicating agent performance against expert standards.
You will identify cancer-biology datasets and transform them into rigorous, deterministically-graded tasks for AI agents. Your role involves establishing defensible reference analyses and scoring criteria to evaluate agent performance across various clinical and biological workflows.
You will contribute to the technical approach for evaluating how AI agents reason through complex microbiome and metagenomics datasets. Additionally, you will collaborate with engineers and biologists to build ground-truth benchmark datasets that test the analytical capabilities of AI agents.
Contribute to the technical approach of teaching AI agents to understand and handle complex genomic and proteomic data. Work across end-to-end data analysis workflows from instrument outputs to scientific decision-making.
