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Job Information Sr. Computational Associate, Genetic Analysis, Diabetes Research Group Company Information
Contact Name Broad Institute
Contact Email [email protected]
Since 20-05-2003
Job Information
Job Type Full-Time
Duration
Salary Range Per Month
Department
Category Other Research
Sub Category
Shift Morning
Posted 17-10-2016
Requirements
Minimum Education University
Degree Title BS in Computational Biology
Minimum Experience 3 Year
Work Permit
Required Travel
Job Status
Job Status Sourcing
Start Publishing 18-10-2016
No of Jobs 1
Stop Publishing 18-10-2019
Description

The Broad Institute of MIT & Harvard, a world leader in genetic research, is looking for an exceptional candidate to join the Diabetes Research Group. The successful candidates will join an interdisciplinary team of computational biologists, bioinformatics analysts, software engineers, laboratory scientists and clinicians who are working together to investigate whole genome sequence data, to identify new genes that lead to diabetes and it complications, and to ultimately discover new therapeutics.

The candidate will join the Broad Institute's Diabetes Research Group to work as part of genetics analysis team to apply computational and statistical tools to interpret whole genome sequencing data in thousands of samples. The responsibilities will include preprocessing and quality control of the data, as well as statistical analysis and statistical methods development of next generation sequencing data. The individual will contribute technically and logistically to collaborations within international consortia (including the AMP-T2D Program, T2D-GENES, AMP-T2D, and others).

RESEARCH/PROJECT INVOLVEMENT:

  • Manages data-production and -analysis pipelines for various complex projects
  • Develops and applies novel computational, mathematical, and statistical methods and algorithms
  • Develops novel tools, bioinformatics pipelines, and methods for in-depth data analysis and interpretation
  • Assesses data quality, troubleshoots and resolves data-analysis issues
  • Serves as a first-line contact point between Program Investigators, Project Managers, Platform staff, and collaborators
  • Communicates novel methods and findings through progress reports, peer-reviewed publications, and conference presentations
  • Works directly with laboratory researchers on experimental design and statistical methods to perform quantitative data analysis
Agreement
Qualifications

  • BS in computational biology, bioinformatics, or a related field, with 5+ years of related experience OR MS in a related field with 3+ years of related experience

Preferred Skills
  • Strong experience with experimental design and statistical methods to perform quantitative data analysis
  • Significant experience with programming languages (e.g., Java, C++, Perl, Python)
  • Significant experience with scientific computing tools (e.g., MATLAB, R)
  • Ability to assess and develop novel strategies
  • Ability to manage multiple simultaneous long-term computational projects
  • Ability to translate high-level scientific goals into concrete computational approaches
  • Knowledge of molecular biology and genomics
  • Demonstrated capability as highly organized, a creative problem-solver, detail-oriented, self-motivated, and able to work independently as well as within cross-functional teams; experience working in an interdisciplinary team with laboratory scientists and clinicians is a plus.
  • Ability to adapt to rapidly changing and highly demanding, and collaborative environments.

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