Job Description:

Job Description

The Macosko Lab, part of the Stanley Center for Psychiatric Research at the Broad Institute, is seeking self-motivated, creative computational postdoctoral candidates to work at the exciting intersection of new genomics technology and disease.Using cutting edge single cell and spatial genomics technologies, we are working to clarify mechanisms of neuropsychiatric disease and proffer new therapeutic targets.

A strong background in computational biology is required; and specifically, experience with analyzing high-dimensional genomics datasets is preferred.Some fluency with biology and/or neuroscience is ideal, as is the ability to adapt quickly and be part of a cross-functional team in a rapidly changing environment. Although some experimental biology experience could be useful, it is not required. The candidate will need to work closely with molecular biologists and neuroscientists in the lab to help translate insights from the data analysis into biological follow-up experiments.

The Stanley Center and the Broad Institute provide a vibrant research environment with close links to MIT, Harvard and the Harvard-affiliated hospitals across Boston.Being a member of our team will provide the opportunity for your contributions to be utilized and recognized across the vast global network of researchers in the fields of genomics and psychiatric disease research.

CHARACTERISTIC DUTIES

• Develop and lead a computational project to uncover biological principles from new kinds of high-dimensional genomic datasets.


• Develop customized computational solutions supporting new kinds of assays and experiments.Understand the analytical needs of new experiments, working closely with biologists.


• Implement and optimize successful algorithms and methods for use by the broader community.


• Communicate well in a team environment, where individuals from multiple backgrounds (neurobiology, molecular biology, and computational fields) will need to work together to solve complex problems.


• Develop figures and reports, which provide transparency into the data quality and characteristics, and automate the production of such reports.


• Help implement analysis methodologies into software tools for publication and distribution to the genomics research community.

QUALIFICATIONS

• Ph.D. in computer science, engineering, physics, mathematics, computational biology, or related fields.


• Demonstrated experience designing computational methods and tools, including prior experience with algorithms relevant to computational biology, with particular preference for experiences involving high-dimensional data analysis.


• Must have demonstrated proficiency with several of the following:Perl, Python, Java, Matlab, R, C, C++, Unix.


• Familiarity with next-generation sequence data analysis tools, ideally for Illumina.


• Self-starter, highly motivated


• Excellent communication and interpersonal skills.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

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