Postdoctoral Fellow in Bioinformatics
We are seeking a highly qualified Bioinformatics expert with software engineering skills to develop and implement bioinformatics/biostatistics methodologies for clinical outcome prediction, disease classification, and therapeutic target discovery using large-scale genomics data generated by microarray and sequencing. Successful candidate will closely interact with experienced bioinformatics, biostatistics, and software engineering experts at the Institute of Genomics and Multiscale Biology. The lab is a part of the Tisch Cancer Institute in the newly launched Center for Science and Medicine building, housing cutting-edge research facilities and world-class scientists, located in Upper East Side of Manhattan.
Requirements:
- Highly motivated PhD in Statistics, Computer Science, Bioinformatics, or other relevant areas.
- Significant familiarity with standard machine learning and statistical modeling algorithms.
- Strong programing skills with a statistical computing language preferably R.
- Experience of high-throughput genomic data analysis.
- Strong software engineering skills and experience (Java, SQL, web application).
- Quick learner of new technologies and analysis algorithms.
- Strong interpersonal skills and a track record of collaborative work in multidisciplinary research environment.
To apply, e-mail a CV, a cover letter, URL of web application or database (if any), and contact information of 3 references to:
Yujin Hoshida, MD, PhD (yujin.hoshida@mssm.edu)
Assistant Professor of Medicine
Liver Cancer Program, Tisch Cancer Institute
Division of Liver Diseases, Department of Medicine
Icahn School of Medicine at Mount Sinai
1470 Madison Ave, New York, NY 10029
References:
1. “Gene expression in fixed tissues and outcome in hepatocellular carcinoma”, N Engl J Med 359;1995-2004, 2008
2. “Combining clinical, pathology, and gene expression data to predict recurrence of hepatocellular carcinoma”, Gastroenterology 140;1501-12, 2011
3. “Gene signatures in the management of hepatocellular carcinoma”, Semin Oncol 39;473-85, 2012
4. “Integrative transcriptome analysis reveals common molecular subclasses of human hepatocellular carcinoma”, Cancer Res 69;7385-92, 2009
5. “Lin28 promotes transformation and is associated with advanced human malignancies”, Nature Genet 41;843-8, 2009
6. “Nearest template prediction: a single-sample-based flexible class prediction with confidence assessment.”, PLoS One 5;e15543, 2010
7. “Subclass mapping: identifying common subtypes in independent disease data sets”, PLoS One 2;e1195, 2007
为防止简历投递丢失请抄送一份至：boshijob@126.com（邮件标题格式：应聘职位名称+姓名+学历+专业+中国博士人才网）
中国-博士人才网发布
声明提示：凡本网注明“来源：XXX”的文/图等稿件，本网转载出于传递更多信息及方便产业探讨之目的，并不意味着本站赞同其观点或证实其内容的真实性，文章内容仅供参考。
