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Description
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.
Qualifications
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 ([email protected]) with an email subject "Postdoctoral Application".
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.
Qualifications
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 ([email protected]) with an email subject "Postdoctoral Application".