Postdoctoral position in Bioinformatics / Cancer Epigenomics
An NIH-funded Postdoctoral research position is available immediately in the Dan L. Duncan Cancer Center at Baylor College of Medicine, one of the top medical schools in the United States. The successful candidate is expected to develop bioinformatics algorithms to interpret epigenome and transcriptome data from next-generation sequencing technologies. This position also offers many opportunities for collaborations with leading experimental biologists and physician scientists in translational biomedical research, including but not limited to cancer, stem cells and aging.
Qualified candidate should have 1) a Ph.D. degree in Bioinformatics, Genomics, Statistics, Computer Science, Physics, or a related field; 2) solid skills in at least one programming language (python, perl, R or C/C++); 3) practical experience in large-scale bioinformatic data analysis; 4) strong ability to communicate scientific material. Training in molecular biology is preferred and extensive experience in Bioinformatics/Computational Biology is a plus. Salary will be highly competitive and commensurate with experience.
About the laboratory
The laboratory of Professor Wei Li (http://lilab.openwetware.org) has a proven track record in bioinformatics algorithm development and collaborative biomedical research as demonstrated by more than 20 publications on high-impact journals over the past 3 years, such as Nature, Nature Genetics, Nature Biotechnology, Cell, Molecular Cell, PNAS, Genome Res, etc. In addition to methodology development, Li Lab is actively involved in several consortium projects such as NIH Roadmap Epigenomics Program and Texas CPRIT Cancer Epigenomics Program.
How to apply
Interested applicants should e-mail the CV, Personal Statement on your training/career goals, and the name/contact information of at least 3 references to Professor Wei Li (WL1@bcm.edu) with an email subject "Postdoctoral Application".
Scientific Programmer position
Ideal candidates should have a Bachelor or Master degree in Computer Science or related field and strong programming skills such as python/perl, C/C++, SQL/CGI, Java, etc. Prior bioinformatics training/experience is a plus. The primary object is to implement web-based and/or stand-alone software tools that enable biomedical researchers to interpret their large-scale genomics/microarray data.
How to apply: Applicants should submit a CV and name/contact information of three references to Dr. Wei Li (WL1 at bcm dot tmc dot edu) with email subject "Scientific Programmer application".