Bioinformatics Data Scientist Analyst, AI Evaluation/Data Labeling
I authored and reviewed technical problem sets for use in internal AI evaluation workflows focused on quantitative biological data. I developed structured questions and step-by-step reference solutions to facilitate AI output evaluation based on sequence alignments, gene expression data, and pathway analysis. I performed quality checks on annotated biological datasets, validating both the data and evaluation consistency of AI outputs. • Reviewed biological data representations such as heatmaps and phylogenetic trees for model accuracy. • Helped improve the consistency of evaluation outputs by approximately 15–20%. • Wrote technical reference solutions to standardize AI model evaluations. • Supported the design and validation of quantitative question sets for AI training and benchmarking.