Full Time / Stanford, CA
Computational Biology Research Scientist at Stanford University - Temp to Permanent
The Deisseroth Lab at Stanford University is looking for a Computational Biology Research Scientist to develop software for a recently developed revolutionary technology for spatial gene expression mapping (STARmap: Spatial Transcript Amplicon Readout mapping). This person will be responsible for the acquisition, processing, and analysis of high-dimensional, single-cell transcriptomic data applied to neuroscience experiments aimed at understanding the function of neural circuits that produce behavior in health and disease. This job will entail working closely with experimentalists to design and interpret spatial transcriptomic experiments, as well as building vital software infrastructure for data processing and storage. The ideal candidate would have a Masters or above in a quantitative field (computer science, applied mathematics, bioinformatics) as well as knowledge of modern molecular biology and genomics. Strong software engineering in Python and data analysis experience (statistics, machine learning, numerical computing) is required. Experience with cloud computing infrastructure (AWS or Google Cloud) is a plus. This person should be self-driven and capable of implementing large parts of a project independently, while also exhibiting excellent communication skills required for working in a highly collaborative environment.
Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Stanford welcomes applications from all who would bring additional dimensions to the University’s research, teaching and clinical missions.
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