Opportunities in the Giannakis Lab

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 
​[email protected]

​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.