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=Open Positions=
=Open Positions=


==Postdoctoral position in Bioinformatics/Computational Biology==
==Postdoc/Research Scientist Position in Cancer Epigenomics and Transcriptomics==


'''Description'''
An NIH-funded Postdoc/Research Scientist position is available the laboratory of Professor Wei Li (http://lilab.openwetware.org) in the Dan L. Duncan Cancer Center at Baylor College of Medicine, one of the top medical schools in the United States.


One NIH-funded postdoctoral 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 will be expected to develop and utilize bioinformatics algorithms to interpret and integrate various epigenome and transcriptome next-generation sequencing data for a better understanding of the molecular mechanisms underlying human diseases. This position also offers many opportunities for collaboration in methodologically and biologically challenging areas, including but not limited to stem cells, development, cancer and aging.
'''The laboratory'''
 
Our lab is focused on the design and application of bioinformatics algorithms to elucidate global epigenetic mechanisms and transcription dynamics in normal development and diseases such as cancer. Since establishing the lab in early 2008, we have
1) Published more than 75 peer-reviewed papers through solid methodology development and extensive collaboration research, including 28 in Nature, Science and Cell series. 2)
Been well-funded by NIH and Texas CPRIT with total external funding >$1.3 million per year.
3) Mentored the first 3 postdoc trainees to start their tenure track faculty positions in prestigious research institutions in the US.


'''Qualifications'''
'''Qualifications'''


The ideal candidate should have 1) a Ph.D. in a related field (Bioinformatics, Biology, Statistics, Physics or Computer Science).  2) strong skills in at least one programming language (python, perl, R or C/C++) and/or large-scale data analysis skills. Some training in molecular biology is preferred and substantial experience in Bioinformatics/Computational Biology is a plus. However, a highly self-motivated candidate with strong training in other areas (e.g., Physics or Computer Science) is also encouraged to apply. Salary is highly competitive and dependent upon previous experience.
The successful candidate is expected to develop novel bioinformatics algorithms to interpret cancer epigenome and transcriptome data in one of the 3 areas: 1) DNA methylation canyon (Nature Genetics 2014); 2) Alternative polyadenylation (APA) and alterations in 3`UTR (Nature 2014; Nature Comm. 2014); 3) Novel epigenetic signatures of cancer drivers (e.g. Broad H3K4me3) (Nature Genetics, in press). This position also offers many opportunities for collaborations with leading experimental biologists and physician scientists in translational biomedical research.
 
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; 5) first or co-first author publications. Training in molecular biology is preferred but not requited. Salary will be highly competitive and commensurate with experience.
'''About the laboratory'''
 
The laboratory of Prof. Wei Li (http://lilab.openwetware.org) has a proven track record in bioinformatics algorithms development as demonstrated by a dozen bioinformatics publications over the past several years. In addition to methodology development, we are involved in large consortium projects such as NIH Roadmap Epigenomics Program and The Cancer Genome Atlas Program. We also have close collaborations with several labs on identifying global regulation targets of transcription factors, including Estrogen Receptor (Cell 2005, Nature Genetics 2006), Androgen Receptor (Molecular Cell 2007, Cell 2009)
and FoxA1 (Cell 2008).  


'''How to apply'''
'''How to apply'''


Applicants should submit a CV, pdf files of your best papers and the name/contact information of three references to Prof. Wei Li (WL1@bcm.edu) with email subject "Postdoctoral application".
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” or “Research Scientist Application”


[http://www.nature.com/naturejobs/science/jobs/65555 Ad in Nature]
[http://www.nature.com/naturejobs/science/jobs/114556-Postdoctoral-position-in-Bioinformatics-Computational-Biology Ad in Nature]


==Scientific Programmer position==
==Scientific Programmer position==

Latest revision as of 14:10, 27 July 2015

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Open Positions

Postdoc/Research Scientist Position in Cancer Epigenomics and Transcriptomics

An NIH-funded Postdoc/Research Scientist position is available the laboratory of Professor Wei Li (http://lilab.openwetware.org) in the Dan L. Duncan Cancer Center at Baylor College of Medicine, one of the top medical schools in the United States.

The laboratory

Our lab is focused on the design and application of bioinformatics algorithms to elucidate global epigenetic mechanisms and transcription dynamics in normal development and diseases such as cancer. Since establishing the lab in early 2008, we have 1) Published more than 75 peer-reviewed papers through solid methodology development and extensive collaboration research, including 28 in Nature, Science and Cell series. 2) Been well-funded by NIH and Texas CPRIT with total external funding >$1.3 million per year. 3) Mentored the first 3 postdoc trainees to start their tenure track faculty positions in prestigious research institutions in the US.

Qualifications

The successful candidate is expected to develop novel bioinformatics algorithms to interpret cancer epigenome and transcriptome data in one of the 3 areas: 1) DNA methylation canyon (Nature Genetics 2014); 2) Alternative polyadenylation (APA) and alterations in 3`UTR (Nature 2014; Nature Comm. 2014); 3) Novel epigenetic signatures of cancer drivers (e.g. Broad H3K4me3) (Nature Genetics, in press). This position also offers many opportunities for collaborations with leading experimental biologists and physician scientists in translational biomedical research. 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; 5) first or co-first author publications. Training in molecular biology is preferred but not requited. Salary will be highly competitive and commensurate with experience.

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” or “Research Scientist Application”

Ad in Nature

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".

Ad in Nature

Multiple openings for graduate students

TBA