David Bickel, statistician

Reliable interpretation of genomic and genetic 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; see http://www.statomics.com for details. The Statomics Lab seeks a postdoctoral fellow who will develop and apply novel methods of statistical inference to attack current problems in analyzing data from genome-wide association studies and related DNA sequence data. The successful candidate will conduct that research with guidance from David Bickel by building on modern empirical Bayes methods and/or higher-order asymptotics. The stipend will be CA$40,000/year, but as much as CA$50,000/year is possible for a candidate with exceptional qualifications. The fellowship is up to two years in duration conditional on satisfactory performance evaluations.

A solid foundation in statistical theory is essential, as is the ability to quickly develop reliable software implementing the statistical methods to be developed. Self-motivation, excellent communication skills, and reception of a PhD or equivalent doctorate in statistical genetics, statistics, bioinformatics, or a closely related field are also absolutely necessary. In addition, experience in empirical Bayes methodology, higher-order asymptotics (via likelihood or bootstrapping), or statistical genetics is highly desirable.

To apply, send a cover letter that summarizes your qualifications, a CV in PDF format, and contact information of three references to dbickel@uottawa.ca. Please write “Postdoctoral Position” and the year of your graduation or anticipated graduation in the subject field of the message. All applicants are thanked in advance; only those 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) to marshal strengths of robust Bayesian, empirical Bayes, and frequentist frameworks. The lab seeks a postdoctoral fellow who will collaboratively develop and apply novel methods of Bayesian inference to overcome current challenges in learning from genome-wide association data, high-dimensional gene expression data, and other data related to genomics.

Experience in computationally intensive data analysis is essential, as is the ability to quickly design and code reliable software implementing Markov chain Monte Carlo algorithms. Strong initiative, excellent communication skills, and reception of a PhD or equivalent doctorate in statistical genetics, statistics, bioinformatics, computer science, mathematics, physics, any field of engineering, or an equally quantitative field within four years prior to the start date are also absolutely necessary. The following qualities are desirable but not required: working knowledge of statistical genetics or genomics; 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 “Bayes Postdoc” and the year of your graduation or anticipated graduation 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 your contributions to them. All applicants are thanked in advance; only those 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) to marshal strengths of the frequentist, empirical Bayes, and Bayesian frameworks. The Statomics Lab seeks a postdoctoral fellow who will collaboratively develop and apply novel methods of statistical inference to overcome current challenges in learning from genome-wide association data, neurodegenerative lipidomics data, and other data related to genomics.

Experience in computationally intensive data analysis is essential, as is the ability to quickly develop reliable software to implement the statistical algorithms developed. Strong initiative, excellent communication skills, and reception of a PhD or equivalent doctorate in statistical genetics, statistics, bioinformatics, computer science, mathematics, physics, any field of engineering, or an equally quantitative field within four years prior to the start date are also absolutely necessary. The following qualities are desirable but not required: working knowledge of statistical genetics; 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 “Statistics Postdoctoral Fellowship” and the year of your graduation or anticipated graduation 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.

Reliable interpretation of genomic and genetic 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 postdoctoral fellow who will collaboratively develop and apply novel methods of statistical inference to attack current problems in analyzing data from genome-wide association studies and other high-dimensional biological data.

Experience in computationally intensive data analysis is essential, as is the ability to quickly develop reliable software implementing the statistical algorithms developed. Strong initiative, excellent communication skills, and reception of a PhD or equivalent doctorate in statistical genetics, statistics, bioinformatics, computer science, mathematics, physics, any field of engineering, or an equally quantitative field within four years prior to the start date are also absolutely necessary. The following qualities are desirable but not required: working knowledge of statistical genetics; 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 “GWA Postdoctoral Fellowship” and the year of your graduation or anticipated graduation 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.

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 postdoctoral fellow 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.

A thorough knowledge of computationally intensive statistics is essential, as is the ability to quickly develop reliable software implementing the statistical algorithms developed. 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 within four years prior to the start date 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 “Postdoctoral Fellowship” and the year of your graduation or anticipated graduation 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.

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 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 postdoctoral fellow 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.

A thorough knowledge of computationally intensive statistics is essential, as is the ability to quickly develop reliable software implementing the statistical algorithms developed. 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 within four years prior to the start date 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 “Postdoctoral Fellowship” and the year of your graduation or anticipated graduation 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.

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.

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 Statistical Inference and Computation in Genomics Laboratory of the Ottawa Institute of Systems Biology. The Statomics Lab (http://www.statomics.com) seeks a postdoctoral fellow who will collaboratively develop and apply Bayesian methods of statistical inference to attack current problems in analyzing transcriptomics, proteomics, metabolomics, lipidomics, and/or genome-wide association data.

A thorough knowledge of Bayesian theory is essential, as is the ability to quickly develop reliable software for approximating posterior distributions using complex models. Strong initiative, excellent communication skills, and reception of a PhD or equivalent doctorate in biostatistics, statistics, or a closely related field within the four years prior to the start date are also absolutely necessary. The following qualities are desirable but not required: expertise in one or more methods of frequentist inference; 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 dbickel0@uottawa.ca (without the zero), with “Bayesian Genomics” and the year of your graduation or anticipated graduation 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.