BACKGROUND:
This position will join an enthusiastic and growing team of scientists and programmers in the Life Sciences Computing group at the Texas Advanced Computing Center (TACC). The Life Sciences Computing group supports a community of thousands of biologists and biomedical researchers worldwide who are working to understand the principles and mechanisms of life, feed a growing world population, and prevent or treat diseases and disabilities. Find out more about TACC: https://www.tacc.utexas.edu/about/overview

RESPONSIBILITIES:
The position will help find solutions to serious technical challenges faced by our researcher communities. Specifically, the position will design, create, and support new approaches for interactively exploring complicated data sets, enabling and encouraging collaboration, and promoting reproducible research. Duties include Investigate and evaluate emerging technologies for enabling reproducible, collaborative science; Assist in design and building of TACC's web, cloud, and API-based research platforms; Collaborate with domain experts to create relevant data exploration and visualization applications; Create and maintain Jupyter notebooks and/or Docker containers illustrating use of TACC research platforms; Maintain and support life sciences applications on TACC systems; Compile and maintain pertinent technical documentation; Train and support users with a varying technical proficiencies.

REQUIREMENTS:
Bachelor's degree in bioinformatics, computational biology, computer science, or other applied science. Experience programming in a modern language, preferably Python but Javascript, Java, and Go are also relevant. Experience working in a Linux/UNIX command line environment including basic shell scripting and system configuration. Familiarity with source control systems, preferably Git. Strong problem-solving and analytical skills. Ability to communicate clearly and empathetically to deliver technical training and professional presentations. Demonstrated ability to work independently and meet deadlines as a member of a team. Equivalent combination of relevant education and experience may be substituted as appropriate.

PREFERENCES:
Commitment to professional development evidenced by completion of academic or technical classes. Two years of relevant work experience. Strong interest in enabling open, reproducible research. Excitement about projects with transformative potential for vulnerable populations. In addition, experience with some of the following is desired: Software or Data Carpentry concepts; Docker or virtual machines for reproducible code; Information visualization tools like Bokeh, Tableau, or Plot.ly; Jupyter or Apache Zeppelin notebooks; High Performance Computing systems; Workflow systems such as Pegasus, Makeflow, or CWL; Web development frameworks such as Node.js, React, Angular, Django, or Flask; Usage or development of RESTful APIs.

TERMS:
Hours: 40.00 Standard from 800AM to 500PM

LOCALE:
Austin, TX

COMPENSATION:
$4,166+ depending on qualifications. Benefits include health care, retirement plan, flexible spending account, and more (see https://hr.utexas.edu/prospective/benefits)

HOW TO APPLY:
Submit an application at https://utdirect.utexas.edu/apps/hr/jobs/nlogon/170622014211

DEADLINE:
September 1, 2017

POLICY:
May work around standard office conditions Repetitive use of a keyboard at a workstation. 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.