Shmulevich Lab, Institute for Systems Biology, Seattle, WA.
REMOTE posible for proven cantidades.
We need a few versatile coders/data scientists who are willing to tackle hard problems as we analyze the data from large biomedical studies like The Cancer Genome Atlas.
We run massively parallel analysis, warehouse data and present it using interactive html5 visualizations and are seeking coders who can contribute to all or part of that process. The abilities to self manage and work directly with scientists are a must.
Things we use:
* Linux
* Go (golang), python (numpy, scipy), javascript (d3.js, node.js in dev), R, C, C++
* HTML5, websockets, REST, json
* mongo, neo4j, solr/lucene, sql
* random forests, boolean networks, information theory, statistics and [spectral] graph theory
Things we don't use:
* Hadoop
We are a largely grant funded non profit with a mandate to open source code. You may have seen our analysis  running on 600,000 cores streaming results to a webapp during the compute engine demo at last years Google IO.
See "Shumelevich Lab" postings here:
<a href="http://www.systemsbiology.org/open-positions" >