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The Program in Neurodevelopment and Regeneration at Yale University School of Medicine Medicine (http://medicine.yale.edu/neurodevelopment/), a multidisciplinary research group, seeks a bioinformatician to lead data analyses for high throughput RNA sequence data. The Program is involved in analyses of genes, transcripts and biological events in individuals with neuropsychiatric disorders and induced pluripotent stem cells models. The level of the position will be commensurate with training and experience.
Responsibilities:
Pipeline development and implementation (including quality control, troubleshooting and optimization) for RNA sequence data. Specific tasks include computation and analyses of level of transcripts as well as analysis of splice variants.
The role will involve working as part of the Program team to run pipelines and deliver analytical outputs. The applicant will be expected to work and consult with colleagues concerning issues of data analysis and interpretation.
Requirements:
PhD in Bioinformatics, Physics, Statistics or related field
Experience in applied bioinformatics in a research environment
Ability to work independently within a research team
Experience in analysis of high throughput RNA sequence data
Programming skills (MATLAB, R or related)
Preferences:
Critical thinking skills and familiarity with statistics (e.g. statistical distributions, significance tests, basic inference), and ability to apply them to diagnose and correct problems with pipeline implementations or downstream analyses.
Experience in developing workflows for sequencing data
Experience with high performance computing in Linux environment
Ability to multitask and work to tight timelines
Submit your CV, the name of at least two references and apply for this job by emailing to: [email protected]
Responsibilities:
Pipeline development and implementation (including quality control, troubleshooting and optimization) for RNA sequence data. Specific tasks include computation and analyses of level of transcripts as well as analysis of splice variants.
The role will involve working as part of the Program team to run pipelines and deliver analytical outputs. The applicant will be expected to work and consult with colleagues concerning issues of data analysis and interpretation.
Requirements:
PhD in Bioinformatics, Physics, Statistics or related field
Experience in applied bioinformatics in a research environment
Ability to work independently within a research team
Experience in analysis of high throughput RNA sequence data
Programming skills (MATLAB, R or related)
Preferences:
Critical thinking skills and familiarity with statistics (e.g. statistical distributions, significance tests, basic inference), and ability to apply them to diagnose and correct problems with pipeline implementations or downstream analyses.
Experience in developing workflows for sequencing data
Experience with high performance computing in Linux environment
Ability to multitask and work to tight timelines
Submit your CV, the name of at least two references and apply for this job by emailing to: [email protected]