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.
We have full time remote team members and all meetings etc are google hang outs but the current team all started in Seattle and we don't have a policy on fully remote new hires yet so I guess it is on a case by case basis.
I think that it would be a "yes" for someone having a proven record on open source projects or published scientific work etc.
I think so. I'm not sure on the details (I'm an engineer) but we have non-us-citizen engineer and scientists thanks to various overseas collaborations. The job submissions site goes through HR who can let you know for sure.
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: http://www.systemsbiology.org/open-positions