Job in Bioinformatics in the Bay Area

This just in from LinkedIn:

"If you have a moment, I'd appreciate your help. Please take a look and forward this job on to anyone you think would be interested in the position, or anyone else who could help me find a great candidate.

Thanks for your help!

-Francisco De La Vega

Company: Applied Biosystems
Job Title: Staff Scientist, Bioinformatics
Description: We are looking for an experienced bioinformatics scientist to facilitate the development and design of our next generation molecular detection and sequencing systems, supporting the selection of sequence targets, the design of optimal oligonucleotide probes, the analysis of experimental results, and the development of probe selection tools. Working closely with bench scientists and other members of the Bioinformatics team, the candidate will be responsible for developing, maintaining, and operating pipelines for data analysis and probe design on the basis of sequence composition, thermodynamic parameters, and genomic annotations. By iterative analysis of the feasibility data obtained by the experimental scientists, the candidate will develop heuristic rules and algorithms to improve the design of instrument systems and assays. You will identify and automate repetitive tasks to enhance data retrieval, manipulation, analysis, and to ensure the quality of the assay designs. Additional responsibilities include: development of software/web tools and databases to provide access to data; development of standard operating procedures, documentation, and scripts to generate custom reports; integration of diverse bioinformatics tools; application of statistic, visualization and data mining tools; interacting with external collaborators to obtain or provide data; development of presentations depicting the results of analyzes.

This position requires the knowledge and skills normally acquired through completion of a MS/PhD in Computational Biology, Molecular Biology, Genetics, Statistics, Software Engineering, Computer Science or related field, and 4-7 years of directly related experience. To qualify, the candidate must have hands-on experience with relevant sequence analysis tools (e.g. Blast, SW, Primer3, GAP4, etc.), an excellent understanding of genomic databases and their annotations (GenBank, RefSeq, ENSEMBL, dbSNP), demonstrated computer skills including proficiency with a scripting language (e.g. Perl, BioPerl, Phyton) in a UNIX /LINUX and Windows NT environment, and excellent communication and organization skills. A good understanding of the biology behind genotyping, gene expression profiling, and genetic mapping, familiarity with the basis of nucleic acid structure and folding, and an appreciation of the use of statistical methods and mathematical models in the interpretation of biological data is highly desirable. Software and algorithm development skills (e.g. in C/C++/Java), familiarity with statistical analysis tools (e.g. Matlab, R, S-Plus, SAS), database development experience (Oracle, SQL, XML), related industry experience, and a record of publications, are pluses."

I have contact information for Dr. De La Vega - please ask me if you'd like to apply. -VM