Open date: February 16th, 2021
Last review date: Tuesday, Feb 16, 2021 at 11:59pm (Pacific Time)
Applications received after this date will be reviewed by the search committee if the position has not yet been filled.
Final date: Wednesday, Jun 30, 2021 at 11:59pm (Pacific Time)
Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.
Seeking excellent applicant with strong research track-record for a competitive post-doctoral fellowship in functional genomics of neurodegenerative disease in the Rexach Lab in the UCLA department of Neurology and Human Genetics. The Rexach group uses integrative multiomics analysis, including single nuclear ATAC and RNA sequencing, to identify cell-specific and multicellular molecular drivers of neurodegenerative dementias, and study their function in disease model systems, including human iPSC-derived spheroids. This fellow would lead a new single-cell and integrative bioinformatics study to identify both disorder-specific and disorder-convergent drivers and mechanisms of neurodegeneration, involving glial cells, and complete functional validation using stem cell-derived models. The goal of this work is to identify and validate new therapeutic targets for neurodegenerative dementias, including Alzheimer’s disease and related disorders, none of which have effective cures or treatments.
Bioinformatics analyses of single nuclear RNA and ATAC sequencing data, multi-omics integration, network-based driver analysis, and genomic analyses. Preparation of high-quality manuscripts to report research findings. Presentation at national and international meetings. Full participation in research group meetings and activities. Participation in training junior students and colleagues within the Rexach lab. Excellent coordination and communication with collaborators. Data management, accountability, and post-publication code and data sharing.
Skills, Knowledge, and Abilities needed for the position
Ability to utilize bioinformatics codes and resources in R is required. Ability to code in R and/or Python are preferred. Experience in basic statistics in required. Experience in advanced statistics for big data research is preferred. Experience in transcriptomics, genomics, proteomics, or related analyses, are preferred. Experience in designing, executing and publishing scientific research is required. Experience in writing first-author scientific manuscripts is required. Strong desire to learn, innovate, discover and collaborate are required. Respect for all colleagues and community is expected and required.
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