Opportunities in the Giannakis Lab
Post-doctoral (computational)
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 independently lead 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
-Strong background and publication record 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 get out of your postdoctoral training. In addition describe how your background may synergize with the strengths of our laboratory/work and any plans for obtaining independent funding.
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 independently lead 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
-Strong background and publication record 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 get out of your postdoctoral training. In addition describe how your background may synergize with the strengths of our laboratory/work and any plans for obtaining independent funding.
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©2019 Giannakis Lab at Dana-Farber Cancer Institute
©2019 Giannakis Lab at Dana-Farber Cancer Institute