FYI.... ---------- Forwarded message ---------- From: Michael Lawrence <[email protected]> Date: Sat, Aug 10, 2013 at 4:53 PM Subject: [BioC] Reopening of Computational Biologist position at Genentech To: "[email protected]" <[email protected]>
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. [[alternative HTML version deleted]] _______________________________________________ Bioconductor mailing list [email protected] https://stat.ethz.ch/mailman/listinfo/bioconductor Search the archives: http://news.gmane.org/gmane.science.biology.informatics.conductor
