Associate Computational Biologist

Organization: 
Broad Institute
Job Location: 
Cambridge, MA
Job Description: 

The goals of the malaria sequencing and analysis group at the Broad Institute are to better understand the general biology and evolution of malaria parasites, develop genomic markers of disease transmission, as well as determine how genomic diversity contributes to drug-resistance, immune evasion, and other etiologies that make malaria one of the most severe global threats to public health.

JOB DESCRIPTION
We are searching to fill an associate computational biologist position for the Malaria Genome Sequencing and Analysis group at the Broad Institute. The person filling this position will assist in performing bioinformatic analyses on genomic and transcriptomic data from malaria parasites. She or he will work collaboratively with other bioinformatic scientists as well as wet lab biologists to interpret data and make it accessible to a large interdisciplinary group. The scope of activities may range from generating analysis pipelines that will be used many times to carrying out one off analyses to ask a specific question of a particular dataset.

KEY RESPONSIBILITIES / ESSENTIAL FUNCTIONS
- Analyze RNAseq data collected from patient samples by implementing software tools such as TopHat and Cufflinks
- Perform statistical analyses and create figures to convey results to collaborators using R/Matlab
- Execute custom analyses on next generation sequence datasets by writing custom scripts
- Present results orally to collaborators in group meetings and at conferences/symposia using Powerpoint
- B.S. degree in Computer Science, Bioinformatics, Biological Sciences, or a related field. M.S. degree in same fields is preferred.
- 0-3 years of professional experience.
- Proficiency in UNIX and scripting languages such as Perl or Python is required.

Working knowledge of :
- Basic sequence analysis tools (BLAST, CUSTAL, etc.)
- Statistical tools (R, Matlab, etc.)
- Relational Databases
- Next generation sequence data analysis

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