Apply expertise to train next-generation AI systems by designing, evaluating, and critiquing biology, bioinformatics, and computational biology workflows to support AI benchmarking initiatives.
Responsibilities
Design, evaluate, and critique biology, bioinformatics, and computational biology workflows to support AI benchmarking initiatives.
Provide expert-level insights on genomic, transcriptomic, proteomic, and other biological data analysis pipelines.
Assess and optimize pipeline parameters, tool configurations, and statistical methods for accuracy and reproducibility.
Analyze biological datasets (e.g., NGS, RNA-seq, single-cell, variant calling, protein structure) and provide actionable recommendations.
Leverage domain knowledge to guide the development and validation of biology-related AI models and tools.
Requirements
PhD in biology, bioinformatics, computational biology, genomics, or a closely related STEM field