Dear Bioconductor,

Back in January, we announced an open position in Robert Gentleman's group,
under the title Computational Biologist. While we have received many
promising applications, the nature of the position has evolved over time,
so we are restarting the process. If you applied before and remain
interested, please restate your interest.

URL:
http://www.gene.com/careers/detail/00410610/Computational-Biologist

Please see the revised description below.
 <http://www.gene.com/careers/detail/00410610/Computational-Biologist>
The Position The Department of Bioinformatics and Computational Biology in
Genentech Research is seeking a motivated individual to develop
software infrastructure for the analysis of high-throughput biological data
and to assist in the development  of related statistical methods and
algorithms . This work will be in close collaboration with other
computational researchers, as well as the broader community of
Genentechscientists, who are together seeking novel therapies for
unmet medical
needs. Challenges include the scale of the data and
the need for programming agility in a fast-paced, dynamic research
environment. Publishing of methods and software is encouraged, and there is
potential for collaboration with open-source projects. There will be many
opportunities for investigating open scientific problems in computational
biology.
Who You Are A masters or PhD in computer science, statistics, computational
biology or similar field is required. You will have excellent communication
skills, a very strong background in software engineering, quantitative
skills and an ability to work in teams. You must have a strong command of
R, with 5+ years experience and knowledge of OOP, parallel computing, and
the R/C interface. A successful applicant will be motivated to contribute
directly to the design, programming and testing of software and very likely
will have contributed to one or more R packages  available from the CRAN or
Bioconductor repositories. Additional experience in languages like C/C++
and Python would be a strong plus. Must be at home in a UNIX environment.

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