Campus Associate Computational Biologist – Neale lab

Job ID:
Job date: 2018-03-25
End Date:

Company : Broad Institute 

Country :

Role : Technician 


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Job Description:
We are looking for a highly motivated individual to join the Stanley Center for Psychiatric Research at the Broad Institute. This person will be responsible for integrating and analyzing GWAS, whole exome sequencing and whole genome sequencing data, and for interpreting genetic association results in the context of deeply phenotyped data sets. The candidate should have a strong computational background and demonstrated knowledge of research methods, and be able to adapt quickly and be part of a cross-functional team in a rapidly changing environment.

The Stanley Center and the Broad Institute provide a vibrant multidisciplinary research environment with close links to MIT, Harvard and the Harvard-affiliated hospitals across Boston. As a member of our team, you will be provided 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:

  • Working closely with analyst colleagues to understand various methods for investigating association between genetic and phenotypic variables.
  • Working alongside informatics colleagues to clean and analyze genetic and epidemiological datasets.
  • Application of these approaches to large-scale psychiatric databases.
  • Create pipelines using existing analysis tools to process data in an automated and efficient fashion.
  • Responsible for documentation and error reporting for existing tools.
  • Ensure data quality control is constantly and consistently applied to incoming data sets.
  • Create reports of data quality and communicate these to computational staff.
REQUIREMENTS:
  • B.S. required in mathematics, statistics, computer science, bioinformatics or other data sciences. Neuroscience or psychology graduates with considerable computational experience will also be considered.
  • Strong initiative and ability to take ownership of assigned tasks and projects essential.
  • Solid understanding of genetic analysis methodologies and tools.
  • Practical experience with Linux environments and proficient in a least one of the following programming languages: Java, C, MATLAB, R, Stata or Python.
  • Interest in cloud computing a plus.
  • Familiarity with, or interest in studying, psychiatric phenotypes such as schizophrenia, autism and ADHD.
  • Demonstrated attention to detail and analytical skills.
  • Ability to work effectively in a multidisciplinary team environment.
  • Excellent communication and interpersonal skills.
  • Excellent written and oral presentation skills.
  • Must be flexible and able to respond to shifting priorities in a dynamic setting.


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

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