Build and evaluate biology benchmarks that test whether AI agents can make expert biologics-development decisions, using antibody data to assess quality, developability, pharmacology, and safety.
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6 open roles at Latchbio
Set scientific standards for AI microscopy benchmarks by curating imaging datasets, building verifiable ground truth, adjudicating ambiguous evidence, and evaluating whether agent reasoning meets expert standards.
Lead scientific benchmarking for biology AI models by designing benchmark tasks and quality standards, mentoring a team of up to seven scientists, and partnering with engineering and leadership to scale production and tools.
Set scientific standards for AI neuroscience benchmarks by designing realistic research tasks, curating multimodal evidence, and evaluating whether agentsβ reasoning and conclusions meet expert standards.
Evaluate how AI agents analyze complex microbiome and metagenomics datasets by building ground-truth benchmarks from published studies, defining whether agents can perform expert-level analytical and interpretive tasks.
Set scientific standards for AI agents in proteomics by designing benchmark tasks, curating mass spectrometry datasets, and evaluating whether agent conclusions reflect sound expert reasoning.
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