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美国Bioinformatics Postdoctoral Position in Hugo Lab, UCLA.博士后职位

2019年08月26日
来源:知识人网整理
摘要:

  美国Bioinformatics Postdoctoral Position in Hugo Lab, UCLA.博士后职位

  A postdoctoral fellow position is available in the laboratory of Dr. Willy Hugo at the Department of Medicine, UCLA to study high dimensional sequencing analysis of tumor samples in order to delineate multiple potential mechanisms and/or key players in immunotherapy resistance.

  Hugo lab’s work is built upon the PI’s past experience in dissecting the mechanisms underlying the evolution of cancer resistance to MAPK pathway inhibitors and checkpoint inhibition-based immunotherapy (Shi et al, Cancer Discovery 2014; Moriceau et al, Cancer Cell 2015; Hugo et al, Cell 2015; Hugo et al, Cell 2016; Song et al, Cancer Discovery 2017, Hong et al, Cancer Discovery, 2017). Now, our lab aims to delineate how the tumor and stroma/immune cell populations adapt and interact during the development of immunotherapy resistance in order to devise novel strategies to improve treatment outcome.

  The ideal candidate should have:

  1. A PhD degree in related fields (bioinformatics, computational biology) received in the last 3 years.

  2. Strong computational genomics experiences (high throughput sequencing analysis). Experience in machine learning is a plus.

  3. Strong programming skills: ((Python | C | C++ | Java) & R). Experience with cloud computing will be a plus.

  4. At least one first authored paper (or two co-first authorships) accepted in reputable, peer reviewed journals.

  5. Keen interest in understanding the cancer field (reading papers).

  6. Strong spoken and written communication skills in English.

  Key responsibility:

  The candidate will be involved in the analysis of patient-derived tumors collected from projects/trials run by the Parker Institute for Cancer Immunotherapy at UCLA. He/she will have the chance to develop the analytic pipeline of the genomic, transcriptomic (whole and single cell) and proteomic (CyTOF) and be part of a highly integrated teams of bioinformaticians, biologists, and clinicians. We are also working on high-dimensional multiplex immunofluorescence analysis.

  If you are interested to join us, please send your CV along with the contacts of two references to hwilly@mednet.ucla.edu.