Featured RNA-Seq Job – Research Scientist

The University of Texas at Austin            Apply Now

General Notes

This position will be filled as a “Research Scientist” or “Research Associate” based upon review of research accomplishments, professional experience, and qualifications. Three letters from appropriate professional references are required, two of which must be from outside of UT Austin.

Required Application Materials

* A Resume is required in order to apply
* A Letter of Interest is required in order to apply.

Note: The following additional materials are also required for consideration: **Three letters of reference** Instructions for submission of these materials will be provided at the time the online application has been completed.

Purpose

Perform bioinformatic and statistical analysis as an adjunct to various faculty research groups.

Essential Functions

Perform RNA-seq, ChIP-seq, and general variant detection analysis on a wide variety of experimental designs and organisms using next-generation sequencing (NGS) platforms. Create Python, Bash shell, and R scripts for workflow and pipeline automation, data parsing, data summation, graphing, and other processing related to NGS workflows. Educate and inform other students, users, collaborators, etc. on tools and techniques. This training and education may be done in a variety of formats including, but not limited to, one-on-one, small groups, or larger classes. It may be infrequent or require regular class meetings.

Required qualifications

Ph.D. degree in bioinformatics or related field with major coursework in the field of assignment and five years of related experience. An established record as a mature, independent researcher. Excellent oral and written communications skills. Equivalent combination of relevant education and experience may be substituted as appropriate.

Preferred Qualifications

Demonstrated expertise with RNA-seq, ChIP-seq, and general variant detection all from next-generation sequencing (NGS) platforms. Demonstrated expertise creating Python, Bash shell, and R scripts for workflow and pipeline automation, data parsing, data summation, graphing, and other processing related to NGS workflows. May be stronger in one over the others, but should have familiarity with all three. Experience contributing to peer-reviewed publications.

Working conditions

May work around chemical fumes May work around standard office conditions May work around biohazards May work around chemicals 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. This position has the option to elect the Optional Retirement Program (ORP) instead of TRS, subject to the position being 40 hours per week and at least 135 days in length.

The University of Texas at Austin is an Equal Opportunity Employer with a commitment to diversity at all levels. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin, age, disability or veteran status. (Compliant with the new VEVRAA and Section 503 Rules)

If hired, you will be required to complete the federal Employment Eligibility Verification form, I-9. You will be required to present acceptable and original documents to prove your identity and authorization to work in the United States. Documents need to be presented no later than the third day of employment. Failure to do so will result in loss of employment at the university.

UT Austin is a Tobacco-free Campus

*Hours per week* 40.00 Flexible from 700AM to 600PM
*Posting number* 14-07-24-01-0702
*Job Status*Open
*FLSA status*Exempt
*Earliest Start Date*Immediately
*Position Duration*Funding expected to continue
*Position open to*all applicants
*Location*Austin (main campus)
*Number of vacancies*1