Job Advertisement at Chen-Hsiang Yeang’s Lab, Institute of Statistical Science, Academia Sinica
Cancer is a highly complex disease that defies all sorts of treatments. Beyond biological investigation of the underlying processes, chemical exploration of drug compounds, and clinical applications of those discoveries, big data analysis of the multi-modal cancer omic data and mathematical modeling of cancer genome evolution under therapeutic regimens are the essential aspects of contemporary cancer research. Our lab tackles diagnosis and treatments of cancer with computational/statistical approaches: integrative analysis of large-scale, multi-modal omic data from multiple cancer types, modeling the evolution of heterogeneous tumor populations, and designing optimal combinatorial treatment strategies. We are looking for motivated postdoctoral researchers and research assistants to participate in the projects that may have a profound impact to cancer diagnosis and treatment.
You will likely acquire the following benefits for your future career development:
Learn about the frontier technologies and developments in cancer genomics.
Obtain experience about the processing and analysis of big data in the domain of cancer biology.
Situate in a highly inter-disciplinary and international team of youngsters.
Have opportunities to collaborate with outstanding domestic and international scholars from prestigious institutions such as Academia Sinica, National Taiwan University, Georgetown University, Broad Institute, and University of California, San Diego.
Gain a bright career prospect in the future. Past members of the group currently work/study at acclaimed institutions such as Baylor College of Medicine, Institute of Cancer Research in London, and Zhejiang University in China.
Requirements of candidates:
Proficiency in at least one programming language (R, Matlab, C, Perl, Python and Java preferred, other languages acceptable).
Prior experience of handling either high-throughput genomic data or other types of large-scale data.
Postdoctoral researchers should have either quantitative background (bioinformatics, statistics, computer science, engineering, physics, math, etc.) with an interest in biological data analysis or experimental background (biology, chemistry, bioengineering, medicine, etc.) with an interest and capability to learn programming and data analysis.
Capability of English communication (read and speak for research assistants; read, speak and write for postdoctoral researchers).
Please send your CV and a brief statement to Amy Ren (firstname.lastname@example.org). Postdoctoral candidates should prepare for a 20-minute talk about their dissertation research during the job interview.