Title of Internship

Harvard Medical School- Bioinformatics/Genomics signal processing Intern 

Location

Center for Biomedical Informatics, Harvard Medical School, Boston, MA

Description

We are looking for a graduate student, with experience in machine learning and/or signal processing, as an intern to contribute to developing computational algorithms and methods for detecting copy number variation (CNV) in cancer, using next generation sequencing data.  This is a part time paid internship for 15-20 hour per week. The position begins January 15th  2015 and ends July 15th 2015. 

Responsibilities

• Identify characteristics and limitations of current CNV detection methods
• Assess features of an effective CNV detection method
• Develop detection and noise cancellation algorithms
• Develop code (programing)
• Prepare reports

Requirements

• Background in computer science, Electrical and Computer Engineering or Bioinformatics
• Able to work in Linux environment
• Working knowledge of programing languages such as R, MATLAB and/or Python
• Experience in machine learning and/or signal/image processing
• Basic knowledge of genomics
• Experience in wavelet transforms and/or sparse signal processing is a plus
• Familiar with raw NGS data (fastq and BAM files) is a plus
• Strong communication and interpersonal skills
• Motivated and self driven

How To Apply

To apply please submit your resume and the names and email addresses of two references to Sheida_nabavi@hms.harvard.edu