Massachusetts, United States
18 Sep 2018
End of advertisement period
18 Nov 2018
Academic Discipline
Life sciences, Biological Sciences
Contract Type
Full Time

Picower Institute for Learning and Memory, to utilize existing and develop in-house computational pipelines for analysis of omics datasets, with particular focus on next-generation DNA sequencing (NGS) platform for standard RNA-seq, ChIP-Seq, ATAC-seq, single-cell RNA-seq (scRNA-seq), and Hi-C. 

Will apply bioinformatics techniques to published/unpublished data for the analysis and interpretation of omic datasets; and conduct data mining exercises by integrating public and in-house datasets to mine for protein-protein interactions, mRNA distribution in specific brain regions, and cell type-specific transcriptional and epigenetic profiles to assist investigators elucidate novel biological pathways relevant to learning and memory and neurodegenerative diseases. 

Responsibilities include utilizing available software and pipelines to generate and analyze NGS datasets from DNA- and RNA-based experiments; developing and using scripts to create and manipulate data files; managing bioinformatics server; coordinating PILM bioinformatics resources/projects with bioinformatics community at MIT and Broad Institute; aiding researchers select and use computational and statistical tools relevant to their projects; incorporating information from published human and mouse genome, gene expression profiles, and genome-wide association studies in the analysis and interpretation of NGS results; implementing solutions and novel strategies to resolve analytical problems and improve interpretation of results; reporting project data to investigators and organizing datasets in preparation for publication in peer-reviewed journals; and helping researchers stay informed of relevant bioinformatics-related techniques.

Job Requirements

REQUIRED: M.S. degree (Ph.D. preferred) in biology, bioinformatics or related field; four-plus years’ bioinformatics experience; strong statistical analysis background; excellent organizational and analytical skills; familiarity with data visualization methods; willingness to share understanding of bioinformatics approaches and tools and provide mentorship; and ability to work both independently and collaboratively on a team.

MIT is an equal employment opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, sex, sexual orientation, gender identity, religion, disability, age, genetic information, veteran status, ancestry, or national or ethnic origin.