Associate Computational Biologist

Broad Institute
Job Location: 
Cambridge ,MA
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. The broader goals of the work will be 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.

• Perform bioinformatic analyses to extract biological meaning from ‘next-generation’ sequencing data and array-based genotyping and transcription data for malaria parasites
• Research and identify proper approaches for interrogating data using primary literature
• Work collaboratively with wet lab scientists at the Broad as well as other institutions to make data accessible and interpretable
• Learn, utilize, and extend existing tools and pipelines for data analysis within the group
• Submit large datasets to public archives
• Perform other duties as necessitated by the position or as assigned
•B.S. degree in computer science, bioinformatics, biological sciences, or related field required

•M.S. degree strongly desired
• Proficiency in: Unix,scripting languages such as Perl or Python
• Working knowledge of basic sequence analysis tools (BLAST, HMMer, etc.),statistical tools (R, Matlab, etc.),relational databases, next generation sequence data analysis
• General abilities required: multi-task, work independently, collaborative skills adapt to changing priorities, work in face paced environment, analytical skills, verbal communications skills, written communication skills, presentation skills

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