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耶鲁大学Dr. Haoyu Cheng实验室

中文简介

美国耶鲁大学生物医学信息与数据科学系 Haoyu Cheng 实验室现招收生物信息学与计算生物学相关领域的博士后研究员。课题组的研究主要致力于基因组数据的高性能算法开发与设计，近年来已开发出一系列广泛应用的基因组组装算法，包括hifiasm (Cheng et al, Nature Methods, 2021), hifiasm (Hi-C) (Cheng et al, Nature Biotechnology, 2022) and hifiasm (UL) (Cheng et al, Nature Methods, 2024)。

具体岗位信息请参见下方英文简介。 更多详情请访问课题组主页: https://hcheng-lab.github.io/。

英文简介

Biomedical Informatics & Data Science Yale University

Postdoctoral Associate of Biomedical Informatics & Data Science in the Laboratory of Dr. Haoyu Cheng

Description:
Multiple postdoctoral research associate positions are immediately available in Dr. Haoyu Cheng’s Lab (https://hcheng-lab.github.io/) at the Department of Biomedical Informatics and Data Science (BIDS) at Yale University, School of Medicine. Successful candidates will engage in the development of innovative computational algorithms for genome analysis. Potential projects include genome assembly, read alignment, variant calling, pangenome analysis, deep learning, as well as other related research on cancer and plant genomes.

About the PI:

Dr. Haoyu Cheng is an Assistant Professor at the Department of Biomedical Informatics and Data Science (BIDS) at Yale University, starting in July 2024. His research primarily focuses on developing computational methods for genomic data, with a particular emphasis on de novo genome assembly and its applications. He has developed a suite of algorithms for de novo genome assembly, including hifiasm (Cheng et al, Nature Methods, 2021), hifiasm (Hi-C) (Cheng et al, Nature Biotechnology, 2022) and hifiasm (UL) (Cheng et al, Nature Methods, 2024). These algorithms have been widely used by numerous large-scale sequencing projects, such as the Human Pangenome Reference Consortium (HPRC), the Genome in a Bottle (GIAB), the Vertebrate Genomes Project (VGP), and the Darwin Tree of Life project. His works received the recognition of the K99/R00 Pathway award from the National Institutes of Health (NIH). For more information, please see https://hcheng-lab.github.io/

招聘岗位需求

Preferred qualifications:

  • Ph.D. in Computer Science, Bioinformatics, Computational Biology, Statistics, Genetics, or a related field.

  • Strong programming skills. Demonstrated experience in developing algorithms using high-performance languages such as C, C++, Rust, or Python is desirable.

  • Demonstrated expertise in analyzing large-scale genomic sequence data.

  • A strong track record of scientific publications.

  • Good oral and written communication skills in English.

申请材料

Please email your CV to Dr. Cheng at haoyu.cheng@yale.edu with the subject ‘Postdoc Application - Cheng Lab’. Applications will be reviewed on a rolling basis.

Interfolio Position can be viewed here: http://apply.interfolio.com/155193

Yale University is an Affirmative Action/Equal Opportunity employer. Yale values diversity among its students, staff, and faculty and strongly welcomes applications from women, persons with disabilities, protected veterans, and underrepresented minorities.

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