Reliable interpretation of genomic and neurological information makes unprecedented demands for innovations in statistical methodology and its application to biological systems. This unique opportunity drives research at the Statomics Lab of the Ottawa Institute of Systems Biology (http://www.statomics.com). The Statomics Lab seeks new graduate students who will conduct original research involving the application of novel statistical tools to the analysis of transcriptomics, proteomics, metabolomics, genome-wide-association data, and/or neuroscience data.
Each student will work toward an MSc degree in either the Biochemistry Program or the Mathematics Program at the University of Ottawa. Both programs provide the option of a Bioinformatics Specialization, and the Mathematics Program also offers a Biostatistics Specialization. Financial support is available.
Intellectual curiosity and high mathematical aptitude are essential, as is the ability to quickly code and debug computer programs. Strong self motivation and good communication skills are also absolutely necessary. The following qualities are desirable but not required: coursework in bioinformatics, computer science, numerical methods, numerical analysis, software engineering, statistics, and/or biology; familiarly with BUGS, R, S-PLUS, C, Fortran, and/or LaTeX; experience with UNIX or Linux.
To be considered, send a PDF CV that has your GPA and contact information of two references to dbickel@uOttawa.ca with either “Biochemistry” or “Mathematics” and any specialization in the Subject line of the message and with a cover letter in the body of the message. Only those students selected for further consideration will receive a response.
Reliable interpretation of genomic and neurological information makes unprecedented demands for innovations in statistical methodology and its application to biological systems. This unique opportunity drives research at the Statomics Lab of the Ottawa Institute of Systems Biology (http://www.statomics.com). The Statomics Lab seeks graduate students who will conduct original research involving the application of novel statistical tools to the analysis of transcriptomics, proteomics, metabolomics, genome-wide-association data, and/or neuroscience data.
Intellectual curiosity and high mathematical aptitude are essential, as is the ability to quickly code and debug computer programs. Strong self motivation and good communication skills are also absolutely necessary. The following qualities are desirable but not required: coursework in bioinformatics, computer science, numerical methods, numerical analysis, software engineering, statistics, and/or biology; familiarly with BUGS, R, S-PLUS, C, Fortran, and/or LaTeX; experience with UNIX or Linux.
To be considered, send a PDF CV that has your GPA and contact information of two references to dbickel@uOttawa.ca with the degree sought (either MSc or PhD) and the preferred graduate program (either Biochemistry or Mathematics and Statistics) in the Subject line of the message and with a cover letter in the body of the message. Only those students selected for further consideration will receive a response.
Reliable interpretation of genomic information makes unprecedented demands for innovations in statistical methodology and its application to biological systems. This unique opportunity drives research at the Statomics Lab of the Ottawa Institute of Systems Biology (http://www.statomics.com). The Statomics Lab seeks students who will conduct original research involving the application of novel statistical methods to the analysis transcriptomics, proteomics, metabolomics, and/or genome-wide-association data while earning a graduate degree in Mathematics and Statistics. For information on careers in statistics, see http://tiny.cc/Rqvnf and http://amstat.org/careers/.
Intellectual curiosity and high mathematical aptitude are essential, as is the ability to quickly code and debug computer programs. Strong self motivation, good communication skills, and a degree in bioinformatics, computer science, mathematics, physics, statistics, any field of engineering, or an equally quantitative field are also absolutely necessary. The following qualities are desirable but not required: coursework in computer science, numerical methods, numerical analysis, software engineering, statistics, and/or biology; familiarly with BUGS, R, S-PLUS, C, Fortran, and/or LaTeX; experience with UNIX or Linux.
To be considered, send a PDF CV that has your GPA and contact information of two references to dbickel@uOttawa.ca with the degree sought (MSc or PhD) in the Subject line of the message and with a cover letter in the body of the message. Only those students selected for further consideration will receive a response.
Reliable interpretation of genomic and neurological information makes unprecedented demands for innovations in statistical methodology and its application to biological systems. This unique opportunity drives research at the Statomics Lab of the Ottawa Institute of Systems Biology (http://www.statomics.com). The Statomics Lab seeks a Research Associate who will collaboratively develop and apply novel methods of statistical inference to attack current problems in analyzing transcriptomics, proteomics, metabolomics, lipidomics, genome-wide-association data, and/or neuroscience data. The successful candidate will also play a key role in the mentorship of junior members of the lab.
A thorough knowledge of computationally intensive statistics is essential, as is the ability to quickly develop reliable software implementing the statistical algorithms developed. A promising publication record, strong initiative, excellent communication skills, and reception of a PhD or equivalent doctorate in bioinformatics, computer science, mathematics, physics, statistics, any field of engineering, or an equally quantitative field are also absolutely necessary. The following qualities are desirable but not required: expertise in bootstrapping and/or constructing accurate confidence intervals; a working knowledge of biology; familiarly with R, S-PLUS, Mathematica, C, Fortran, and/or LaTeX; experience in a UNIX or Linux environment.
To apply, send a PDF CV that has contact information of three references to dbickel@uOttawa.ca, with “Research Associate” in the subject field of the message. In the message body, concisely present evidence that you meet each requirement for the position and describe your most significant papers and software packages with summaries of how you contributed to them. All applicants are thanked in advance; only those selected for further consideration will receive a response.
Scientific breakthroughs from genome-sequencing projects brought the realization that reliable interpretation of the resulting information makes unprecedented demands for innovations in statistical methodology and its application to biological systems. This unique opportunity drives research at the Statomics Lab of the Ottawa Institute of Systems Biology (http://www.statomics.com). For the CIHR Training Program in Neurodegenerative Lipidomics, the Statomics Lab seeks a graduate student who will develop novel methods of statistical inference and collaboratively use them to discover or validate changes in lipid concentration.
Intellectual curiosity and high mathematical aptitude are essential, as is the ability to quickly code and debug computer programs. Strong self motivation, good communication skills, and a degree in bioinformatics, computer science, mathematics, physics, statistics, any field of engineering, or an equally quantitative field are also absolutely necessary. The following qualities are desirable but not required: coursework in computer science, numerical methods, numerical analysis, software engineering, statistics, and/or biology; familiarly with BUGS, R, S-PLUS, C, Fortran, and/or LaTeX; experience with UNIX or Linux.
To be considered, send a PDF CV that has your GPA and contact information of two references to dbickel0@uottawa.ca (without the zero) with “statistical lipidomics graduate student” in the Subject line of the message. In the message body, specify the graduate program in which you wish to take courses (either Biochemistry or Mathematics and Statistics) and the degree sought (MSc or PhD). Only those students selected for further consideration will receive a response.
David Bickel is currently accepting new students.
For more information on the field of bioinformatics, see the slides from the First Canadian Workshop on Statistical Genomics, the links provided by Georgia Tech, and the jobs posted at the Canadian Bioinformatics Workshops.
Ideal for a fourth-year project or summer internship
THE EDGE. Acquire a statistical bioinformatics skill set by developing novel scientific software in the frontiers of post-genomic biology for high impact on medical science.
THE LAB. Scientific breakthroughs from genome-sequencing projects brought the realization that reliable interpretation of the resulting information makes unprecedented demands for contemporaneous advances in computation and mathematical modeling. As the complexity of genomic data sets drives innovative statistics research, the new Statistical Machine Learning in Functional Genomics (Statomics) Lab of the Ottawa Institute of Systems Biology aims to develop and apply novel methodology and algorithms to solve current problems in analyzing gene-expression, proteomics, metabolomics, SNP, ChIP-chip, and/or clinical data. The lab is presently targeting the inference of degrees of differential gene expression and improvements in the repeatability of microarray results and will attack similar statistics and machine learning challenges of importance to functional genomics.
THE STUDENT. Learn to analyze genomics data with newly created statistical methods. Make breakthrough bioinformatics software accessible worldwide by improving the usability and functionality of the lab’s data analysis code and by adding documentation. Providing scientists with these reliable biostatistical tools can advance medical research by improving the accuracy of conclusions drawn from genomics and clinical data.
Send your cover letter and CV or resume, including your GPA, to dbickel0@uottawa.ca (without the zero).
