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Job Detail

Computational Genomics of Alzheimer's
Harvard Medical School/Beth Israel Deaconess Medical Center

ou will manage apprehension, storage, security and delivery of whole genome sequencing data into a cloud environment such as Terra where analysis will take place. You will oversee daily operation of the pipeline and handling of custom analysis, annotation and reporting for BIDMC staff and our collaborators.
Primary responsibility for maintenance, improvement, and operation of the WGS analysis pipeline
Remaining current with and performing analysis of sequencing data using best practice workflows
Development of novel sequence analysis methods where off-the-shelf methods are inadequate
Outwards community facing interaction to support / drive best practice


Ph.D. in bioinformatics, computational biology, genetics, computer science or similar
Experience in DNA sequencing analysis, including alignment, variant calling, structural variant calling, and interactive exploration of variant information and annotation.
Experience in population genetics and genetics of complex traits.
Proficiency in utilizing data from public resources such as Genome in a Bottle, 1000 Genomes, ExAC, and GnomAD
Proficiency in R, and one or more programming languages such as Python, Perl, Java, or C/C++, willingness to learn new programming languages
Experience working in Linux and running tasks in a cluster environment and experience in cloud environments
Experience at

Job Information

Start Date: September 01, 2021

Duration: Full Time

Status: Open

Contact Information

Harvard Medical School/Beth Israel Deaconess Medical Center
Winston Hide

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