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IndustryWeb 2.0, Software
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Engineering
General

Learning Applications/Systems Researcher

at EdLab in Manhattan, NY   —   Apr 17, 2014   |  
Overview
The Learning Applications/Systems Researcher will bring skills in quantitative analysis in online environments, including methods such as live experiments, web server log analysis or remote monitoring and benchmarking. This research will be focused on improving the user experience of existing and new products.

Applicants should have experience working with large-scale quantitative data sets, live experiments, or other methods that provide insight into user/learner experience. Specialization in one or more technical or domain areas is desired, such as:

Programming skills related to data extraction or understanding how digital products are instrumented (e.g. Python, C++, Perl, Java)
Development of online services (e.g. HTML, CSS, Java Script)
Adaptive teaching and learning models
Other technical specialties might include the creation of visual dashboards for understanding trends, experience in working with SQL databases, or other experience related to online experiments (e.g. A/B testing, live testing, context-sensitive survey techniques)

A well developed interest in using large-scale research techniques to understand users of digital education products and services is more important than any particular specialization.

To apply to this position, please provide a cover letter and your salary history along with your resume.
Responsibilities
Work with engineering and product teams to help define user experience goals and metrics.
Identify quantitative markers of user experience.
Influence design decisions by communicating findings
Experience
Experience in a research setting that demonstrates your abilities, including a significant degree of specialization within one or more domains.
Skills
A track record demonstrating excellent command of the research questions within a given domain, and of the technical tools for the analysis of data related to those questions.
Excellent working knowledge of statistics and the principles of experimental design.
Both junior and senior candidates will be considered.
Education
An advanced degree or equivalent experience in Computer Science, Human-Computer Interaction, Statistics, Psychology or a related field.
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