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2 computational biologist jobs found

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Dana-Farber Cancer Institute
Feb 25, 2026
Full Time
Bioinformatics Analyst
Dana-Farber Cancer Institute Boston, MA, USA
Job Ref:JR-1244 Location:450 Brookline Ave, BOSTON, MA 02215 Category:IT/Informatics Employment Type:Full time Work Location:Hybrid: 2-3 days onsite/week Salary/Pay Rate:$58,400.00 - $80,400.00 per year Overview The Bandopadhayay Laboratory (www.bandolab.org) based at the Dana-Farber Cancer Institute and Broad Institute seeks a Bioinformatics Analyst to join in efforts to develop and apply cutting-edge genomic technologies to determine optimal treatment strategies for children with brain tumors. This Bioinformatics Analyst will be co-mentored by our collaborator Dr. Rameen Beroukhim (www.beroukhimlab.org) and will be involved in cross-disciplinary efforts to generate large datasets describing genetic changes across pediatric brain tumors and other cancers, and to develop and apply sophisticated statistical and computational approaches to analyzing these data. These datasets include DNA sequencing, RNA sequencing and epigenetic sequencing, both at...
Healthcare IT
Dana-Farber Cancer Institute
Jan 06, 2026
Full Time
Bioinformatics Analyst
Dana-Farber Cancer Institute Boston, MA, USA
Job Ref:JR-251 Location:450 Brookline Ave, BOSTON, MA 02215 Category:IT/Informatics Employment Type:Full time Work Location:Boston Job Posting Location Salary/Pay Rate:$58,400.00 - $80,400.00 per year Overview A computationally-oriented team led by Rameen Beroukhim and Simona Dalin at the Dana-Farber Cancer Institute and Broad Institute seeks a computational associate to join in efforts to develop and apply cutting-edge genomic technologies to characterize genomic rearrangements in cancers and normal tissues, and better understand how errors in double strand break (DSB) repair result in these rearrangements. Projects include 1) identifying sequence features that influence the formation of genomic rearrangements based on data from thousands of tumors and matched normal samples, 2) applying sophisticated statistical approaches to determine relationships between the presense of specific rearrangements and genetic/pharmacologic vulnerabilities in cancer...
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