The primary focus of the Pezzolesi lab is to understand the etiology of diabetes and diabetic complications using high-throughput next-generation sequencing technology and integrated ‘big data’ and ‘omics’-based approaches. The lab leverages large data resources combined with next-generation sequencing to perform gene discovery in families enriched for diabetes and diabetic kidney disease. Several research opportunities (both computational and wet-bench) exist for highly motivated students!
Volunteer; This is a paid research position; This is a work-study research position; Prepare a UROP proposal; Write an Honors Thesis or Senior Thesis; Earn independent study credit
Students will have opportunities to gain first-hand research experience in the generation, analysis, and interpretation of genetic and/or other 'omics' data.
Students will gain research experience and contribute to publications with co-authorship. Potential volunteer, work study, paid, research for credit opportunities exist.
It is expected that students spend 10 hours per week on the project during the academic year. Potential full time summer employment opportunities may exist.
Motivation and enthusiasm for research. Coursework could include biology, genetics, biochemistry, mathematics, and bioinformatics. Training will be provided.