Computational Biologist @ Brigham and Women’s Hospital

14:30 - Leave a Comment















The Personalized Cancer Medicine Partnership (PROFILE) is a collaborative venture between two Harvard Medical School affiliated institutions- the Brigham and Women’s Hospital and the Dana-Farber Cancer Institute. The mission of PROFILE is to advance translational and personalized cancer medicine by implementing tumor genomic profiling on all cancer patients treated at these institutions. PROFILE will employ state-of-the art technology to generate a detailed profile of key “druggable” or otherwise “actionable” cancer genomic alterations in a CLIA-approved and “real-time” process to facilitate rapid clinical application. These cancer genomic profiles will be used to guide patient treatment and/or stratification for clinical trials of novel anticancer agents.

Role and Responsibilities:
This exceptional opportunity offers the chance to work at the forefront of translational cancer technologies and applications. The Computational Biologist will join the current bioinformatics group to analyze and represent genomic data generated by next-generation sequencing (NGS). The Computational Biologist will report to the Group Leader of Bioinformatics and will have the following responsibilities:

  1. Development of novel algorithms and tools for the analysis of somatic and germline genomic alterations.
  2. Identification and evaluation of analysis tools for the identification of variants from NGS data. 
  3. Definition, application and validation of computational approaches for cancer genome analysis from next-generation sequencing (and other) data
  4. Analysis of datasets from high-throughput molecular assays utilizing appropriate bioinformatics and/or genetic analyses
  5. Identification of variants in individual samples as well as performing cohort analysis on groups of related samples
  6. Additional tasks including, but not limited to: maintaining awareness of emerging approaches and methods in computational biology as they relate to clinical applications of next-generation sequencing, supporting the visualization and analysis of existing data, developing innovative solutions for the analysis and management of genomic data, including next-generation sequencing data.


Qualifications: 
Masters in Computer Science, Bioinformatics, Engineering, Math, Statistics, Physics, or a related quantitative discipline with 3-5 years’ experience, or PhD in the same fields with 1-2 years’ experience required. Advanced statistical and computational data analysis experience using (R, Perl, or MATLAB); demonstrated experience modeling complex multi-dimensional biological data, and strong programming skills (using Java or Perl) in a UNIX/Linux environment are essential. Experience in molecular biology, cancer genomics, or a related field; proven experience in the development and validation of NGS algorithms and knowledge of relevant databases, methods and analytical tools used in next-generation sequencing data analysis/interpretation is highly desirable. Candidate should have the ability to work independently or collaboratively on several concurrent, fast-paced projects. A minimum two-year commitment is required.

How to apply: Interested candidates should provide a resume and a brief cover letter summarizing previous experiences, training, and qualifications, as well as names and contact information for at least two references.

Please contact: Anna Cooley
AnnaC_Cooley@dfci.harvard.edu 
(617) 582-8643