Bioinformatician/Computation Rsch Assoc

Job ID: 57632
Job date: 2018-01-23
End Date:

Company : University of Nebraska 

Country :

Role : Research Scientist 


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Job Description:
Develop and implement a data processing pipeline, include the experimental design, pre-processing, and statistical analysis of large scale LC-MS and NMR based metabolomics and proteomics studies; collaboration with researchers within and external to the university (academic, industry, scientific instrument manufacturers); and providing training and support in bioinformatics.

Minimum Required Qualifications:

Master’s degree in computational metabolomics, bioinformatics, statistics or closely related field plus 4 years of experience in data analytics (mass spectrometry and/or NMR-based) required. Must be competent in more than one programming language (e.g. C++, Perl, Python, Matlab, R, etc.). Strong communication and writing skills necessary to easily communicate the technical solutions put forth to a non-technical audience. High level of analytical ability necessary. Must have detailed knowledge of bioinformatics, computational biology, metabolomics and proteomics.

Preferred Qualifications:

PhD in computational metabolomics, bioinformatics, statistics or closely related field preferred. Experience collaborating with subject matter specialists in the general area of biomedical and biomolecular research desirable. Prefer minimum of 2 years of postdoctoral experience in a field combining computational and life sciences. Ability to assess resource requirements and use resources effectively helpful.


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Additional Info:
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.

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