Computational Biologist – Sellers Lab

Job ID: 3084
Job date: 2017-11-16
End Date:

Company : Broad Institute 

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Role : Other 


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Job Description:
The Broad Institute is looking for an exceptional candidate to join us in understanding and defining the links between genetic cancer dependence and strategies for therapeutic development. It is now possible to use small molecules, RNA interference and CRISPR technologies across diverse cellular models of cancer to discover robustly validated cancer dependencies. Notable examples include the discovery of the synthetic lethal relationships between deletion of MTAP and dependence on PRMT5 (Science. 2016;351:1208-13, Science. 2016;351:1214-8), and between the SWI/SNF component hBRM and mutations in BRG1 (Proc Natl Acad Sci U S A. 2014;111:3128-33). Nonetheless, the discovery of therapeutics relevant to such discoveries remains challenging. The Sellers group will deploy large-scale genetic, biologic and small molecule approaches to robustly define domains and specific mechanisms that can be exploited for cancer therapeutic development. We seek an energetic, motivated individual to join the team and help develop and apply bioinformatics tools to the analysis of large-scale datasets. It is anticipated that new datasets will be developed by the group and that, as a result new data processing algorithms, analytical and visualization tools will be required. To accelerate this work, he/she will develop and implement computational approaches addressing these problems, will collaborate with scientists and post-doctoral fellows on specific projects and will more broadly support the bioinformatics needs of the group.

CHARACTERISTIC DUTIES: Develop databases for handling genetic perturbation data emerging from systematic mutagenesis approaches. Develop databases and analytical methods for handling peptide display technologies used both in vitro and in the intra-cellular setting Leverage existing protein structure data, TCGA data and other public data sets to derive insights to experimentally derived mutation data As needed develop databases and algorithms to handle mass spectrometry data. Perform routine analysis for gene level expression, gene level dependence, and gene level mutation data from existing data. Perform integrated analysis of multiple datasets as mentioned above. Develop software-based methods and web interfaces for importing existing and new data into developing databases. Maintain code under version control accessible by Broad Institute personnel.

REQUIREMENTS:

  • PhD in Computer Science, Engineering, Physics, Math, Bioinformatics, Biology or other relevant scientific discipline Experience with major sequence and database resources
  • Experience with protein structure or mass spectrometry-based proteomics data and experimental workflows desirable, but not absolutely required.
  • Flexibility with, and working knowledge of, scripting and programming languages, including Python, JavaScript (including node.js), Perl, R, etc.
  • Experience with creating web-based data visualizations highly desirable
  • Experience working with biologists on biological questions.
  • Highly proficient in computational and programming skills; experience with object oriented programming and scripting languages.
  • Ability to work independently as well as part of a team in a fast-paced environment, while making necessary connections with others in various computational analysis and neurobiology groups. Self-starter ; highly motivated.
  • Excellent communication skills.
  • Excellent organization and time management skills.


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Additional Info:
EOE / Minorities / Females / Protected Veterans / Disabilities

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