Graduate Research Intern—Clinical and Genomic Data Annotation
Performed structured sequence alignment and annotation of resistance gene sequences from clinical and genomic datasets in a biomedical research setting. Developed and applied consistent data labeling protocols to ensure high-quality, accurate input for downstream molecular biology analyses. Automated the data extraction and cleaning process using Python, increasing annotation throughput and reducing manual errors. • Labeled genetic and clinical data (1,200+ data points) related to antimicrobial resistance. • Utilized NCBI BLAST and Excel dashboards to monitor resistance gene prevalence. • Coordinated with 10+ scientists for annotation validation and output consistency. • Supported AMR research publications with accurately classified sequence data.