Bioinformatics Analyst I – Cancer Genomics

Job Description:
This individual will work in conjunction with oncologists, computational biologists and research scientists to analyze cancer genomic data generated at Dana Farber using software tools within our team and by generating their own statistical analysis code.

Works in teams with other scientists to define and execute computational approaches. Performs computational analysis of next generation sequencing data, somatic copy number alterations, expression profiling, and biological pathways using in house algorithms. Generates own code to conduct various other statistical analyses including those to discover relationships between cancer alterations and clinical correlates.

Presents data at project team meetings.

Assists in generating wikis and data portals to disseminate results to the DFCI and general scientific community.

Assists in drafting of scientific manuscripts.

This employee will be located at both the Dana-Farber Longwood Medical Area campus and at the Broad Institute in Cambridge.

Qualifications:

Required: B.S./B.A. in the life sciences, physical sciences, or computational sciences. Some coding knowledge of either R, Matlab, python and/or Perl is required. The ability to work in teams, excellent communication and data presentation skills.

Preferred: Background in molecular genetic data. Understanding of statistical methods and working in cloud computing and UNIX environments. Knowledge of generating web portals is desirable. We will consider May 2018 graduates.

Requeriments :

• Technical Bachelor

Skills :

• Cancer Genomics
• Cloud Computing
• Genetics
• Lunix/Unix
• Next Generation Sequencing
• Programing in Python
• Programming in Matlab
• Programming in PERL
• Programming in R
• Statistics

Areas :

• Bioinformatics

[Click Here to Access the Original Job Post]