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Research Assistant Professor

Below you will find the details for the position including any supplementary documentation and questions you should review before applying for the opening.  To apply for the position, please click the Apply for this Job link/button.

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Please see Special Instructions for more details.

Click on “Apply to this job” and complete the faculty form. Attach a letter of interest, curriculum vitae, and contact information for three professional references. Review of applications will begin August 17, 2017 and will continue until the position is filled or the search is closed. The University of Nebraska-Lincoln is committed to a pluralistic campus community through affirmative action, equal opportunity, work-life balance, and dual careers. See http://www.unl.edu/equity/notice-nondiscrimination.

Position Information

Position Information

Working Title Research Assistant Professor
Department/College/Unit Food Science & Technology-0836
Requisition Number F_170068
Posting Open Date 08/02/2017
Application Review Date:
(To insure consideration, please submit all application materials before review date)
08/17/2017
Posting Close Date
Open Until Filled Yes
Description of Work

The Research Assistant Professor will contribute to the integrated research and teaching land-grant mission of the home unit and the Institute of Agriculture and Natural Resources (IANR) as an effective scholar and citizen, including supporting student recruitment and IANR science literacy.

Research activities for this position tie in closely with the mission of the Quantitative Life Sciences Initiative and Redox Biology Center to provide bioinformatics and computational biology research and analyses to faculty and graduate students. Responsibilities will include but are not limited to the following:
a) Next-generation sequencing analysis including differential gene expression analysis and de-novo genome and transcriptome assembly
b) Custom programming to drive analyses pipelines and integrate various data sources with analyses results
c) Continue building and providing web-based educational resources for the Redox Biology Center
d) Conduct research in redox biochemistry in collaboration with faculty in the Redox Biology Center
e) Provide professional advice to graduate students as requested

The incumbent will be expected to average .15 FTE as determined by the CASNR Academic Appointment Guidelines, and to teach in the core courses for the PhD in Complex Biosystems (LIFE891-001 and LIFE891-002). Specific course assignments may be changed over time based on the needs of the Quantitative Life Sciences Initiative and the Redox Biology Center.

In addition to the above-described duties, the individual will be expected to accept committee assignments, reporting responsibilities, and other special ad hoc assignments as requested at the administrative unit, college/division, institute, and/or university level.

Minimum Required Qualifications

Ph.D. in Computational Biology, Biochemistry, Bioinformatics, Computer Science, Statistics, or related quantitative field. 10 years experience in life science and related quantitative field. Proficiency with two programming languages required. Experience in molecular biology, biochemistry and redox biology as well as knowledge/experience in current bioinformatics tools and applications, including areas of molecular biology and biochemistry. Experience needs to be supported with publication record. Requires the ability to develop novel tools for bioinformatics research, and demonstrate the use of these tools to solve open research questions in biology. Also requires the ability to communicate knowledge to students and collaborators, and acquire new knowledge regarding developments in bioinformatics. Working knowledge of the Linux operating system and redox biochemistry.

Preferred Qualifications

Experience working in R or Matlab and Linux operating systems preferred. Prior Experience working in biology-related sciences and/or a high-throughput sequencing data analysis is preferred. Experience needs to be supported with publication record. Excellent communication skills and ability to interact professionally with all levels of faculty, staff and students across different areas and levels of expertise (both experimental and computational). Ability to handle a variety of tasks simultaneously; work independently as well as part of a team; strong organizational, time management, and project management skills.

Pre-Placement Driving Record Review Required
Criminal History Background Check Required No
Posted Salary
How to Apply

Click on “Apply to this job” and complete the faculty form. Attach a letter of interest, curriculum vitae, and contact information for three professional references. Review of applications will begin August 17, 2017 and will continue until the position is filled or the search is closed.

The University of Nebraska-Lincoln is committed to a pluralistic campus community through affirmative action, equal opportunity, work-life balance, and dual careers. See http://www.unl.edu/equity/notice-nondiscrimination.

For questions or accommodations related to this position contact

Karen Randall, krandall2@unl.edu

Job Category
Job Category (old) Faculty Non-Tenure Leading
Job Type Full-Time
Position funded by grant or other form of temporary funding? No
If Temporary, indicate end date
Planned Hire Date
Appointment End Date

Supplemental Questions

Required fields are indicated with an asterisk (*).

Required Documents

Required Documents
  1. Letter of Interest
  2. Curriculum Vitae
  3. List of References
Optional Documents