Computational Biologist

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Job date: 2015-01-15
End Date:

Company : Broad Institute 

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Role : Faculty 


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Job Description:
This position will be a key analyst in the project. The position entails close collaborations with genetics, genomics and neurobiology groups within the Stanley Center, Broad Institute, and Broad partner institutions. We are mainly looking for a smart, flexible, inventive programmer who can communicate well with biologists. The Stanley Center and the Broad Institute provide a vibrant research environment with close links to MIT, Harvard and the Harvard-affiliated hospitals across Boston. Being a member of our team will provide the opportunity for your contributions to be utilized and recognized across the vast global network of researchers in the fields of genomics and psychiatric disease research.

Characteristic duties- Lead the analysis of the marmoset genome assembly, and transcriptomes using existing community sequence and assembly data and new data to be generated at the Broad - Analysis of whole genome sequences of a founder marmoset colony for use in effective genetic management - Collaborate with and communicate results effectively to a diverse community of Stanley Center and Broad scientists and external collaborators - Contribute to reports and papers for presentation and publication. Present at scientific conferences, as needed. -

Requirements

Ph.D. degree in Computer Science, Engineering, Physics, Math, Bioinformatics, Biology or other relevant scientific discipline or equivalent experience - Extensive experience with mammalian genome assembly and analysis, particularly working with and improving draft genome assemblies- Experience with population genetics and/or comparative genomics - Experience working with biologists on biological questions- Highly proficient in computational and programming skills; experience with object oriented programming and scripting languages - Highly developed knowledge in computational and mathematical theory to design and implement major research projects that solve complex computational and mathematical problems- Ability to design and lead large scale analyses and to interpret results in a biological context- 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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