Research positions in Cobos Lab
The laboratory of Dr. Inma Cobos is recruiting enthusiastic and motivated postdoctoral researchers to study neurodegenerative disorders. Current work in our lab focuses on using single-cell technology to understand selective cell vulnerability in human brains with Alzheimer’s disease and related dementias and investigate the cellular and molecular mechanisms of tau-mediated neurodegeneration.
Several positions are currently available to join our new lab at Stanford. We seek applicants with diverse backgrounds to: 1) Generate and analyze single-cell -omics data from human brains with neurodegenerative diseases, 2) Perform spatial transcriptomics in human brains with neurodegenerative diseases, 3) Study cellular and molecular mechanisms of neurodegeneration using human stem cells, and 4) Develop new methods to study neurodegeneration at single-cell resolution. Candidates with expertise in any of the following areas are particularly encouraged to apply:
- Computational biology
- Single-cell transcriptomics
- Cell biology and molecular biology
- iPSC technology
- Histology, neuroanatomy and image data analysis
These positions are funded by the NIH-NIA and the Chan Zuckerberg Initiative (CZI) Neurodegeneration Challenge Network (https://chanzuckerberg.com/science/programs-resources/neurodegeneration-challenge/). The CZI Neurodegeneration Challenge Network provides an ideal opportunity for outstanding trainees to advance their careers by joining a highly collaborative team of scientists, physicians and computational biologists working across disciplines to accelerate progress in neurodegeneration.
To apply, please send by email your CV, a brief statement of your skills and research interests, the questions you would be interested in pursuing in our lab, and the names and contact information of 3 references.
Research Associate Position
We are looking for a Life Science Research Professional (LSRP) to join our collaborative team working on single-cell transcriptomics in neurodegenerative diseases.
Your primary responsibility will be applying computational pipelines for single-cell transcriptomics. The ideal candidate, in addition, will participate in the evaluation of new assays, technology platforms, and software, and will participate in collaborative efforts to integrate and analyze large multi-dimensional -omics datasets.
- Proficiency in R and Python
- Strong background in statistics
- Basic knowledge of next-generation sequencing data analysis
- Experience with single-cell sequencing data is preferred but not necessary
- Strong communication and organizational skills
The position is funded by the Chan Zuckerberg Initiative (CZI) Neurodegeneration challenge Network (https://chanzuckerberg.com/science/programs-resources/neurodegeneration-challenge/) and provides an ideal opportunity for outstanding researchers and trainees to advance their careers by joining an international network of forward-thinking scientists, physicians and computational biologists working in a highly collaborative environment to accelerate progress in neurodegeneration.
To apply, please send by email your CV, a brief statement of your skills, research interests and career goals, and the names and contact information of 3 references.
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 also welcomes applications from others who would bring additional dimensions to the University’s research, teaching and clinical missions.