Scientist I � Single cell transcriptomics
The Allen Institute for Brain Science is seeking an exceptional candidate to join a Seattle-based multidisciplinary team within the Cell Types Program, which aims to define cell types in mouse and human brains. As a member of the Molecular Genetics team, the successful candidate will produces and analyze large-scale single-cell transcriptomics data from primary mouse brain tissue.
This candidate will provide analysis and interpretation of the acquired single-cell transcriptomics data. She/he will interface with other Institute teams to provide expert advice related to the transcriptomics data for other projects, and new directions or improvements of approaches for acquiring multimodal single-cell data.
- Work within the Molecular Genetics team on experimental design, execution, and Research Associate training to generate large-scale single cell transcriptomics datasets.
- Partner with other teams at the Institute to iteratively analyze single cell data and facilitate generation of transcriptomic cell type taxonomy in a timely manner.
- Facilitate data organization and integration towards creation of multimodal cell type taxonomy.
- Write and publish manuscripts, grant progress reports, and grant applications.
- Present work internally and externally at conferences.
- Evaluate new single-cell profiling platforms and techniques.
- Ph.D. in life sciences or computational biology (e.g., Neuroscience, Genomics, Genetics, or related field)
- Knowledgeable in genomic data generation from primary tissues (rodent handling, dissection, single cell collection, molecular biology, and next generation sequencing).
- Knowledgable about developmental neurobiology and systems neurobiology.
- Knowledgeable about RNA-seq, ATAC-seq and/or ChiP-seq data
- Proficiency in ptyhon or R, and Linux shell scripting.�
- 1+ years' of experimental experience in genomic data generation from primary tissues (rodent handling, dissection, single cell collection, molecular biology, and next generation sequencing).
- 1+ years' of experience working in a rodent model system studying a neurobiological problem in vivo (e.g., developmental neurobiology, systems neurobiology).
- 1+ years' of computational experience working with RNA-seq, ATAC-seq and/or ChIP-seq data, preferably at the single cell level.
- Ability to develop, test, implement, and share new experimental and computational tools quickly, in an iterative manner, after feedback from experimental, data production, and analysis teams.
- Experience with additional programming languages (Perl, Matlab).
- Exceptional oral and written communication skills.
- Ability to work independently as well as part of a team to meet aggressive timelines in a collaborative enivornment
It is the policy of the Allen Institute to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, the Allen Institute will provide reasonable accommodations for qualified individuals with disabilities.