[Bioperl-l] Bioinformatician position - Waksman Institute

[David J Sidote]

Bioinformatician – Research Assistant Professor



The Waksman Institute of Microbiology located on the New Brunswick campus of
Rutgers University is seeking a highly motivated and talented bioinformatics
scientist for an Research Assistant Professor appointment.  The successful
candidate will analyze genome, transcriptome, and epigenome data generated
on the Life Sciences 454, Illumina, and AB SOLiD high-throughput sequencing
platforms. Excellent communication and teamwork skills are essential as the
successful candidate will work closely with individual research groups to
develop software to facilitate the visualization, quantification, and
interpretation of the data. The successful candidate will be expected to
contribute to the publication of scientific literature and to present at
seminars and conferences.



Qualifications:



-       PhD in molecular biology, genetics, bioinformatics, systems biology
or other related fields; candidates with a PhD in physics, mathematics, or
computer science with some working knowledge of biology and experience are
encouraged to apply.

-       Demonstrated scientific track record

-       Highly proficient in perl, python, or ruby programming, linux/unix
scripting, and SQL.

-       Experience with R is desirable but not required

-       Experience with high-throughput sequencing, microarrays, or other
high-throughput biological platforms

-       Excellent communication and organizational skills





How to Apply:



Please send a cover letter stating your current research interests, why you
are interested in this position, and how your skill set complements this
position along with a curriculum vitae, and the names and contact
information of three references to hr at waksman.rutgers.edu. Please include
"Bioinformatics Assistant Research Professor" in the subject line. Rutgers
is an equal opportunity employer.



For more information about this position please contact:

Dr. David Sidote (dsidote at waksman.rutgers.edu)