The University of Texas at Austin Job Posting

 
This posting is Deleted

Research Engineering/ Scientist Associate V

Hiring department TACC
Monthly salary $5,833+ depending on qualifications
Hours per week 40.00 Standard from 800AM to 500PM
Posting number 12-05-25-01-4207
Job Status Deleted
FLSA status Exempt
Earliest Start Date Immediately
Position Duration Funding expected to continue
Position open to all applicants
Location Austin - J. J. Pickle Research Campus (North Austin)
Number of vacancies 1
General Notes

None provided

Required Application Materials

  • A Resume is required in order to apply
  • A Letter of Interest is required in order to apply.
  • A List of 3 References is required in order to apply.

Additional Information

Purpose

This RESA V position is responsible for providing the necessary support to enable computational biology and biomedicine researchers at UT System academic and health institutions to utilize the advanced computational resources at Texas Advanced Computing Center (TACC).

Essential Functions

Serving as a primary point of contact for UT System life science investigators. Scheduling, organizing and conducting regular training workshops for life science investigators. Consulting with researchers on specific questions regarding the application/use of TACC's computational systems. Consulting with researchers on specific questions regarding the application/use of TACC's computational systems. Providing one-on-one and small group research facilitation by assisting researchers who may be unfamiliar with the use of advanced computational systems for the analysis of biological data. Coordinating with the existing campus centers that produce relevant biological data to keep ahead of new developments. Working closely with the TACC Computational Biology group to maintain close coordination between UT System campuses and TACC. Providing community feedback to enhance TACC's computing resources, services, R and D, and expertise. Pursuing opportunities for new research through proposals and partnerships with agencies and companies. Publishing and presenting results from collaborations.

Marginal/Incidental functions

Other related functions as assigned.

Required qualifications

Ph.D. in a life science discipline (biology, biochemistry, medicinal chemistry, bioengineering, etc.), that included computational work as part of the research efforts and four years' experience (or M.S. and six years) working in a computational research position. Facility with compiling and configuring software, using scripting languages, managing data, and developing and running computational applications in a Linux/Unix environment. Programming skills that include parallel application development, performance tuning and optimization methods. Proven ability to promote and support the use of high-performance computing, visualization, networking, and massive data storage systems to scientists to expand their research impact. Strong interest in science and technology and ability to rapidly adopt and adapt to leading edge technologies. Excellent oral presentation and communications skills. Advanced ability to work independently under established deadlines and as part of a team. Ability to travel a minimum of 20 percent as required to partner/collaborator institutions, relevant conferences, etc. Equivalent combination of relevant education and experience may be substituted as appropriate.

Preferred Qualifications

Four years working at computational research positions in academic or government laboratories. Experience with extracting, manipulating, and integrating data from public biological data repositories (e.g. NCBI, Ensembl, UCSC). Two years work experience conducting computational biology research (academic, government, or industry). Advanced expertise working in a Linux command line environment. Demonstrated success in publishing computational science results. Experience analyzing large-scale genomic, protein mass spectrometry, biomedical imaging, epidemiological, or other biology-oriented data.

Working conditions

May work around standard office conditions May work around electrical and mechanical hazards Repetitive use of a keyboard at a workstation

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