哈佛医学院&麻省总医院高大地课题组诚聘生物信息博士后及职员科学家
The Dadi Gao Lab in the Neurology Department at Massachusetts General Hospital (MGH) and Harvard Medical School (HMS) is seeking an exceptional candidate in Computational Biology and Bioinformatics at the postdoctoral level or the staff scientist level to direct collaborative projects involving functional transcriptomic studies across multiple neurogenetic disorders. Highly qualified candidate would oversee computational transcriptome analyses for collaborations spanning multiple departments and institutions and involving the integration of RNA-seq datasets generated from human, mouse and cell line samples, or hosted in large cohorts such as GTEx, BrainSpan and CommonMind Consortium. Candidate will have the opportunity to work in a unique translational environment that integrates bioinformatics analysis with technology development and advanced molecular biology. He/She will have significant independence, with appointments to MGH, HMS, and the Broad Institute of Harvard and MIT, and will interact with collaborators within all three institutions. The candidate will also get a chance to work with cutting edge data types like single-cell RNA sequencing, spatial transcriptomics, Hi-C, 4C, and ATAC sequencing, to name a few. Ideal candidate will have good programming skills, advanced knowledge of statistical methods, advanced expertise in the analysis and interpretation of next-generation sequencing data focusing on bulk or single cell RNA-seq and its integration with other “omics” data sources or demonstrated expertise in human genetics and bioinformatics. Candidate will also need excellent interpersonal skills to work in a highly collaborative environment across institutions. Visa sponsorship is available for this position.
Dadi Gao is an Assistant Professor in Neurology at MGH and HMS, with a research focus on the computational analyses of multi-modal sequencing data in neurological disorders (NDs). He joined the labs of Dr. Michael Talkowski and Dr. Susan Slaugenhaupt at the Center for Genomic Medicine (CGM) of MGH as a postdoc, where he co-led the functional genomics team that aims at understanding the molecular etiology in multiple NDs and developing treatments using advanced computational strategies. In 2020, Dr. Gao received NIH Pathway to Independence Award. He has published 20 papers since the first year of his PhD candidacy. Nine of his first-author papers were published in prestigious journals including Cell, Genome Biology, Nature Communications and The America Journal of Human Genetics. To learn more about the lab and the current research projects, please visit the lab website: www.dadigaolab.org.
PRINCIPAL DUTIES AND RESPONSIBILITIES:
Perform complex data acquisition, storage, cleaning, and pre-processing;
Performs advanced quantitative statistical analysis methods;
Dissemination of results via presentation and publications;
Computational biology and statistical genetics consultant and resource for center and department.
SKILLS/ABILITIES/COMPETENCIES REQUIRED:
A Ph.D. in computational biology, bioinformatics, computer science, physics, or mathematics;
Advanced knowledge of gene expression, co-expression network and alternative splicing analysis from bulk RNA sequencing data;
Must be frequent in Python, R and Bash and proficiency in complex data mining;
Must have excellent written and verbal communication skills;
Must be able to work independently as well as part of a team in a fast-paced, highly collaborative and supportive environment;
Ability to adapt to shifting priorities in response to changing deadlines and the needs of the lab;
Experience in applying machine learning to genetic research is a big plus;
Experience in cloud-based computing is a big plus.
HOW TO APPLY
Please send a CV including a publication list to dgao2@mgh.harvard.edu
Alternatively, apply directly via www.dadigaolab.org/careers
Please label the position in the application: either postdoctoral fellow or staff scientist
转自：“iNature”微信公众号
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