The Broad Institute’s Stanley Center for Psychiatric Research is working to identify the cellular and molecular pathways disrupted in brain disorders such as schizophrenia and autism, by utilizing advances in genetics and genomics pioneered at the Broad Institute. We are developing and applying tools to understand how implicated genes act in neurons and circuits. We use large scale, unbiased, systematic approaches in collaborative multidisciplinary research teams.
This position in the Stanley Center for Psychiatric Research involves computational analysis of functional genomics datasets with a strong emphasis on RNA-Seq. This person will help develop new computational methods, apply existing computational methods, interpret results within a biological context, and integrate best RNA-seq analysis practices from groups at Broad and around the world. This researcher will work in close collaboration with laboratory scientists on analysis of a range of RNA-Seq projects with a strong emphasis on single cell approaches. The scope will include integration with other Stanley Center and external genomics datasets. The role will often involve rapid prototyping in support of a dynamic, fast-moving experimental program; it is focused on molecular biology applications relevant to investigation of brain function and psychiatric illness. The job entails close collaborations with multiple Broad and Broad-affiliated groups, particularly with Professor Paola Arlotta’s group at Harvard and Professor Aviv Regev’s group at Broad.
- Analyze large RNA-Seq datasets to profile transcriptomes from brain organoid models and neuronal cell populations, and provide analyses in formats accessible to a research community of biologists and geneticists.
- Develop, apply, document, and maintain computational tools, both for own use and to support analysis by biologist colleagues without formal computational training.
- Follow relevant scientific literature to ensure use of optimal methods and understand emerging practices across the field.
- Contribute to reports and papers for presentation and publication and present at scientific conferences, as appropriate.
- Regularly attend and present results at Stanley Center related team meetings to share results, plan projects and experiments.
- Work with other Broad computational biologists experienced with RNA-Seq, including those in the Regev group, to learn, discuss, and integrate the most appropriate solution for an experiment or project.
- Ph.D. degree in Computer Science, Engineering, Physics, Math, Bioinformatics, Biology or other relevant scientific discipline or equivalent experience is required.
- Must have demonstrated proficiency with several of the following technologies: Perl, Python, Matlab, R, Unix
- Experience with and solid understanding of statistical analysis is required
- Familiarity with next-generation sequence data analysis tools, ideally for Illumina
- Basic understanding of molecular biology and next generation sequencing is highly preferred
- Familiarity with single cell data analysis is preferred.
- Familiarity with a range of sequence alignment tools, ideally those used for RNA-Seq (TopHat, STAR, RSEM, etc.), is a plus.
- Experience designing computational methods and tools, including prior experience with algorithms relevant to computational biology, is a plus.
- Ability to work independently as well as part of an interdisciplinary team in a fast-paced environment, while making necessary connections with experts in various computational analysis groups
- Self-starter, highly motivated
- Excellent communication and interpersonal skills
- Excellent organization and time management skills
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