Associate Computational Biologist 9/16/2016
JOB DESCRIPTIONAPPLY Job Description:
Associate Computational Biologist - Broad Technology Labs
The focus of our group is to develop novel analysis strategies and to provide computational support towards the research and development of new genomic sequencing approaches. The Broad Technology Lab's mission is to develop breakthrough methods and technologies that bridge the gap between proof-of-principle prototypes and fully integrated large-scale processes, with a focus on bringing previously unavailable capabilities to the Broad community that can drive scientific progress.
The function of this role is to analyze sequencing data from derived from our molecular biology processes and to assure quality and accuracy of the assays. This role primarily involves using data portals and Unix to run QA pipelines, assessment and interpretation of data quality, and working closely with lab staff and scientists to troubleshoot issues. This role will also involve development of analysis strategies for new assays.
We are looking for a highly-motivated self-starter to perform the following duties:
* Primary analysis on sequencing data, such as read alignments, transcriptome quantifications, and whole genome assembly
* Develop figures and reports, which provide transparency into the data quality and characteristics, and automate the production of such reports
* Help implement data analysis strategies to support research and development efforts towards developing new genomic technologies
* Work with laboratory and research scientists to run initial analyses and experiments to evaluate and troubleshoot new genomic technologies
* Help to create prototype pipelines and document system specifications
* Research, assess, and standardize processes for new analysis tools and software
* Present data and experimental results to collaborating scientists
* Collaborate closely with team members to identify and share new computational strategies
* Other related tasks as required
* The applicant must also demonstrate outstanding personal initiative and the ability to work effectively as part of a team.
* B.S. or M.S. in computational biology, computer science, or related field
* Must be highly proficient in Unix and shell scripting. Experience with cluster computing and parallelization preferred. Ability to code in Python, R, Java, or Scala preferred.
* Knowledge of genomic sequencing, bioinformatics tools and public sequencing databases is required.
* Experience with RNA-seq and whole genome assembly methods preferred.
* Excellent oral and written communication skills and the ability to perform both self-directed and guided research are crucial.
* Background in statistics highly preferred.