Computational analyst or postdoctoral researcher The Giannakis lab is seeking a highly motivated, exceptional candidate to join us towards obtaining novel insights for the epidemiology, prevention and treatment of colorectal cancer through the computational analysis of large-scale datasets. The successful candidate will lead and assist in projects integrating molecular, pathologic and clinical data as well as collaborate with a diverse array of community members both at the Dana-Farber Cancer Institute and the Broad Institute of MIT and Harvard.
We invite applications for individuals with: -Proficiency in working with a wide range of biological databases and resources, such as TCGA, GenBank, EnsEMBL, the UCSC genome browser, Reactome, and other similar resources -Strong statistical knowledge and programming using R or related tools and ability to prototype software solutions for data analysis -Background in computational biology, bioinformatics or other quantitative principles. -Excellent interpersonal and communication skills.
Please send a cover letter CV and three references (email address and phone numbers) to: Marios Giannakis M.D., Ph.D, Principal investigator Marios_Giannakis@dfci.harvard.edu
In your cover letter please outline your research interests, how they intersect with those of our laboratory and what you hope to achieve during your training and experience here.