Job ID: 161017JC
Job date: 2017-05-22
End Date:
Company : Baylor College of Medicine Country : Role : Postdoc
Job date: 2017-05-22
End Date:
Company : Baylor College of Medicine Country : Role : Postdoc
Job Description:
The Dan L. Duncan Comprehensive Cancer Center at Baylor College of Medicine invites applications for a postdoctoral research position to study cancer biology. Primary responsibilities include but not limited to analyzing next generation sequencing data (e.g., RNA-seq, whole genome/ exome sequencing) using state-of-the-art bioinformatical and statistical tools, and developing new statistical methods to answer biological questions that arise in the research. The candidate will be working in a collaborative environment with faculty members in multiple disciplines including bioinformatics, biostatistics and cancer biology. Applicants should have a Ph.D. or equivalent degree in Bioinformatics, Computational Biology, Statistics, Biostatistics, Computer Science, or other disciplines with strong quantitative background. Other qualifications include excellent writing skills in English, proficiency in R and scripting languages such as Perl or Python. Proficiency in C/C++ is a plus. Prior experience with next generation sequencing data analysis is a plus. Knowledge in cancer biology or genetics is desired but not required.
Additional Info:
Application Documents: The following is a list of the Required and Optional documents for this position. Please be sure to have them ready before you submit your application. Required Documents: Resume/CV Optional Documents: [Click Here to Access the Original Job Post]
The Dan L. Duncan Comprehensive Cancer Center at Baylor College of Medicine invites applications for a postdoctoral research position to study cancer biology. Primary responsibilities include but not limited to analyzing next generation sequencing data (e.g., RNA-seq, whole genome/ exome sequencing) using state-of-the-art bioinformatical and statistical tools, and developing new statistical methods to answer biological questions that arise in the research. The candidate will be working in a collaborative environment with faculty members in multiple disciplines including bioinformatics, biostatistics and cancer biology. Applicants should have a Ph.D. or equivalent degree in Bioinformatics, Computational Biology, Statistics, Biostatistics, Computer Science, or other disciplines with strong quantitative background. Other qualifications include excellent writing skills in English, proficiency in R and scripting languages such as Perl or Python. Proficiency in C/C++ is a plus. Prior experience with next generation sequencing data analysis is a plus. Knowledge in cancer biology or genetics is desired but not required.
Requeriments :
Skills :
- Cancer biology
- Genetics
- Next Generation Sequencing
- Programing in C
- Programing in C++
- Programing in Python
- Programming in PERL
- Programming in R
- RNA-seq
- Statistics
Areas :
Additional Info:
Application Documents: The following is a list of the Required and Optional documents for this position. Please be sure to have them ready before you submit your application. Required Documents: Resume/CV Optional Documents: [Click Here to Access the Original Job Post]