• Interpret single cell data in a neurobiological context, design follow-up experiments to help extract knowledge from the data.
• Write and publish manuscripts, internal and external progress reports.
• Present work internally and externally at conferences.
• Interface and collaborate with many other departments within the Institute to provide expert interpretation and advice on single cell transcriptomics data, and its utility to other teams and projects within the Institute.
• Evaluate, establish and/or improve existing experimental platforms for acquisition of multimodal single cell data (for example, Patch-seq, multiplex FISH, etc.).
- Ph.D. in life sciences (Neuroscience, Genomics, Genetics, or related field).
- Highly knowledgeable about molecular, developmental and/or systems neurobiology.
- Knowledgeable in genomic data generation from primary tissues (rodent handling, dissection, molecular biology, and next generation sequencing).
- 2+ years of experience studying a neurobiological problem in vivo (e.g., developmental neurobiology, systems neurobiology).
- Experience with RNA-seq, ATAC-seq and/or ChIP-seq data, preferably at the single cell level.
- Experience with programming in R and Linux shell scripting, or any other programming languages (Perl, Python, 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 environment.