Postdoctoral Research Associate in Computational Biology and Bioinformatics

Company Description

Oak Ridge National Laboratory is the US Department of Energy’s largest multi-program science and energy laboratory, with scientific and technical capabilities spanning the continuum from basic to applied research. Located in the city of Oak Ridge, ORNL is in the eastern part of Tennessee in the foothills of the Great Smoky Mountains.

 

Job Description

The Computational Biomolecular Modeling and Bioinformatics group in the Computer Science and Mathematics division at Oak Ridge National Laboratory invites applications for a postdoctoral research associate position in computational biology and bioinformatics.   The position will be working under the technical direction of Dr Chongle Pan.  More information on the group’s activities may be found at http://www.omicsbio.org/.

The position requires collaboration within a multi-disciplinary research environment consisting of computational scientists, computer scientists, and biologists conducting basic and applied research in support of the Laboratory’s missions.   Specific responsibilities include the analysis of mass spectrometry data for metaproteomics and metabolomics and next-generation sequencing data for metatranscriptomics, and metagenomics to solve complex scientific problems.  In addition, postdoctoral research associate will be responsible for developing, designing, and implementing algorithms to be used in areas such as microbial ecology, phylogenomics, metabolic network analysis, and Earth system climate modeling.  Publication of research results in peer-reviewed journals and conference proceedings will be expected.  The position will provide the opportunity to perform cutting-edge research in high-performance computing, using ORNL’s Leadership Class Supercomputer (Titan://www.olcf.ornl.gov/compu-ngLresources/ tanLcrayLxk7/) at biologically relevant length and scales.

Qualifications

Minimum Qualifications Required
•    A Ph.D. in computer science, computational biology, or a related field is required.
•    Qualified candidates should have programming experience using C++, Python, and R for development of computer algorithms and computational statistics methods.
•    A proven publication track record is required.


Preferred Qualifications
•    Prior research experience in analysis of proteomics mass spectrometry data or next-generation sequencing data are highly desired.
•    Relevant optional skills include data mining, graph theory, modeling, and parallel computing.

Additional Information:
Applicants cannot have received their Ph.D. more than five years prior to the date of application and must complete all degree requirements before starting their appointment. Certain exceptions may be considered. This appointment will initially be for 24 months with a possibility of an extension of up to 12 months. Initial appointments and extensions are subject to performance and availability of funding.



Additional Information

ORNL is an equal opportunity employer.  All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply.