Position Announcements

Marine Bioinformatics Postdoc

Postdoctoral Research Associate Position in Bioinformatics: Transcriptome analyses of plankton

The Menden-Deuer and Rynearson labs at the University of Rhode Island invite applications for a
Postdoctoral Research Associate in bioinformatics and computational biology.
Project Overview:
This project aims to examine, quantify and understand
gene expression in marine plankton. Plankton are single-celled eukaryotes that
form the base of marine food webs and are therefore critical to the health and
well-being of the world’s oceans.  This project represents an opportunity for a talented and creative postdoctoral researcher to work with sequencing data from ecologically important organisms.  There will be opportunities to develop new or utilize the most recent algorithms for transcriptome assembly and mapping, particularly because most plankton genomes have not yet been sequenced. Datasets include Illumina sequencing of plankton transcriptomes from multiple species
and experiments under different conditions. 
The successful candidate will lead the project on the de novo analysis
of transcriptomic data, which includes setting up and/or using available
computational pipelines for transcriptomic data processing, identifying novel
‘high-responder’ genes and statistical comparison of multiple single-cell
transcriptomes.  The first dataset is ready for analysis.

Responsibilities and Duties: The postdoctoral
associate will be primarily responsible for analysis of the high-throughput
sequencing component of the project (transcriptome sequence data). Responsibilities
also include dissemination of results in publications and presentations and a
willingness to assist with proposal preparation. The individual will be
required to contribute to the functioning of the lab, assist with graduate and
undergraduate student mentoring and help to develop future research projects.

Qualifications: Candidates are required to have a Ph.D. degree by August
of 2013 in Computer Sciences, Statistics, Biology or a related field. Excellent
command of the English language (written and verbal) and quantitative
analytical skills are essential. Candidates should possess demonstrable
experience with the analysis of high throughput sequencing data including strong
programming skills.  We prefer candidates
who have an excellent background in statistics and data mining.

Appointment: The position is for 12-months initially, commencing August
or September 2013 and renewable depending on performance. The successful
candidate will receive training in research collaboration, presentation and
publication of results, and outreach and mentoring. There will be opportunities
for development of additional research projects and proposals.

To Apply: Applications must include (1) a maximum 3-page statement
of experience, career goals,
research vision and interests; (2) curriculum vitae, (3) reprints of relevant
publications and (4) names and addresses of three referees willing to write
confidential letters of recommendation. All materials should be emailed as a
single pdf document to: rynearson@mail.uri.edu with ‘PostDoc Application’ in
the subject line. Candidates will be selected based on overall excellence,
including academic qualifications, letters of recommendation, and prior skills,
experience, and research goals that are compatible with the goals of the funded
research. The position is compensated through a competitive salary and
excellent benefits package.   Please
rynearson@mail.uri.edu with additional questions
about the position.

Research will take place on the shores of Narragansett Bay, RI at the URI Graduate School of
Oceanography.  The labs are conveniently located along the eastern seaboard with easy access to Amtrak and major airports.  The candidate will benefit
from existing collaborations with researchers in computational biology both nationally
and internationally.

Closing date: We will begin screening applications July 1, 2013.  Further information:

Rynearson lab:

lab: http://www.gso.uri.edu/smdlab
Graduate School of Oceanography: http://www.gso.uri.edu/