Engineering Scientist – R and D User Interface Software Developer

Research and development of user interface software for interactive data analysis and decision support for applications including visualization of large data sets.

Design, develop, configure, test and integrate software to meet requirements of sponsored research projects. Prepare technical documentation and technical presentations. Communicate with project team members, supervisors, sponsors for timely implementation of project requirements.

Other related functions as assigned.

Bachelor’s degree in computer/software engineering, computer science, or other applied sciences and three years of experience in the same. Ability and desire to design and develop decision support user interfaces from the ground up. Familiarity with developing web application user interfaces. Ability to work independently with sensitive and confidential information, maintain a professional demeanor, and effectively communicate with diverse groups. U.S. Citizen. Applicant selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information at the level appropriate to the project requirements of the position.

Demonstrated experience developing software in Python and JavaScript. Experience developing user interfaces with web application development and frameworks (Python/Django) and client side technologies (including JavaScript, jQuery, Knockout, Bootstrap, d3, etc.). Demonstrated experience in data visualization. Experience presenting the results of data analysis to technical and non-technical audiences in a variety of graphical formats (time series, entity-relation networks, animations, etc.). Experience designing, developing, debugging, and deploying interactive web-based user interfaces. Strong technical writing skills. Demonstrated experience applying software engineering principles of encapsulation, modularity, maintainability, testability, usability, etc. in software design and development. Experience with common data mining and data exploration tools, methods, and infrastructure (Hadoop, HBase, R, Spark, Solr, Elastic Search, etc.). Cumulative GPA of 3.0 with a GPA of 3.2 in relevant coursework.

May work around standard office conditions Repetitive use of a keyboard at a workstation Use of manual dexterity Some weekend, evening and holiday work. May work in shared, windowless office space. Possible intrastate/interstate travel.

A criminal history background check will be required for finalist(s) under consideration for this position.

The retirement plan for this position is Teacher Retirement System of Texas (TRS), subject to the position being at least 20 hours per week and at least 135 days in length.

The University of Texas at Austin, as an equal opportunity/affirmative action employer, complies with all applicable federal and state laws regarding nondiscrimination and affirmative action. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, or veteran status in employment, educational programs and activities, and admissions.

If hired, you will be required to complete the federal Employment Eligibility Verification form, I-9. You will be required to present acceptable, original documents to prove your identity and authorization to work in the United States. Information from the documents will be submitted to the federal E-Verify system for verification. Documents must be presented no later than the third day of employment. Failure to do so will result in dismissal.

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