Job Description: The Talkowski Lab is focused on understanding the genetic etiology of complex developmental and neuropsychiatric disorders. Collectively our efforts revolve around a cycle that traverses from the discovery of genomic variation across global populations to disease association mechanistic modeling and translation to diagnostic interpretation in the emerging era of genomic medicine.
A successful candidate will investigate long-read assembly of clinically relevant repeat expansions in disease cohorts. The candidate will develop computational and/or statistical genomics methods and perform analyses for individual projects and consortia. Successful candidates will have demonstrated expertise in at least one of the following: human genetics quantitative genetics genomics genome biology statistics and/or bioinformatics. Ideal candidates will possess strong programming skills advanced knowledge of statistical methods and expertise in analyzing massively parallel sequencing data.
The researcher will be responsible for communicating results to the scientific community through conference presentations and publications and within the Broad Institutes internal communications.
QUALIFICATIONS:
Ph.D. in computer science mathematics computational biology or related field with proven record of first-author publications (or in press) in peer-reviewed journals.
Strong software engineering and computational analysis skills.
Outstanding personal initiative and communication skills to work in a collaborative environment.
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