Bioinformatician/Computational Biologist

University of Nebraska-Lincoln

Lincoln, NE

ID: 7067230
Posted: June 25, 2020
Application Deadline: Open Until Filled

Job Description

Description of Work
Position will provide computational bioinformatics services for faculty, staff and students. These services include but are not limited to genome or transcriptome assembly, SNP and variant analysis, differential gene expression, added-value annotation and/or visualization of results, statistical tests, integration of multiple data sources, and custom programming.

The University of Nebraska-Lincoln seeks to attract and retain a high performing and diverse workforce in which employees’ differences are respected and valued to better meet the varying needs of the diverse populations we serve. The university fosters a diverse and inclusive work environment that promotes collaboration so that all individuals are able to participate and contribute to their full potential. As an EO/AA employer, qualified applicants are considered for employment without regard to race, color, ethnicity, national origin, sex, pregnancy, sexual orientation, gender identity, religion, disability, age, genetic information, veteran status, marital status, and/or political affiliation. See: http://www.unl.edu/equity/notice-nondiscrimination.

Minimum Required Qualifications
Bachelor’s degree Computational Biology, Mathematics, Bioinformatics, Computer Science, Statistics, or related quantitative field. More than five years’ experience in a related quantitative field. Proficiency with two programming languages required, one of which must be Perl or Python.

Work history will demonstrate a high level of analytical capability. Competent in more than one programming language (one must be Perl or Python); working knowledge of the Linux operating experience; Strong communication and writing skills. Must be able to easily communicate the technical solutions put forth to a non-technical audience.

Preferred Qualifications
Ideal candidate will have a Master’s degree in a related field. Two years’ experience working in R/Bioconductor or Matlab preferred. Experience running large workflows on HPC and HTC clusters. Experience in current bioinformatics tools and applications. Experience in metagenomics and/or structural biology. Experience collaborating with subject matter specialists in the general area of life sciences. Prior Experience working in biology-related sciences and/or a high-throughput sequencing data analysis.

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.



 

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