Requisition Id9471
Purpose:
The Biosciences Division (BSD) at Oak Ridge National Laboratory (ORNL) is focused on advancing science and technology to better understand complex biological systems and their relationship with the environment. BSD has expertise and special facilities in genomics computational systems biology microbiology microbial ecology biophysics and structural biology and plant sciences. Computational systems biology research includes methods development and use to analyze large scale phenomics omics greenhouse field and clinical datasets to derive insights and hypotheses suitable for further experimental validation and to improve researchers ability to further advance understanding of biological systems.
We develop and apply computational methods to explore biological processes at all levels of life systems organization from atomistic to ecological scales. The collection of omics phenotyping and environmental data and automation of its analysis and discovery is becoming increasingly important as the scale of experiments grow and diversify for projects at ORNL including the Center for Bioenergy Innovation Plant-Microbe Interfaces Secure Ecosystem Engineering and Design BioScales Integrated Pennycress Resilience projects funded by the DOE and biomedical projects funded by the NIH and VA among other efforts that also include access to suitable large scale computational resources. In this position you will be taking an important role in the development of methods to better understand variation in proteins and their effects on protein function and the broader biological system under study.
Major Duties/Responsibilities:
- Development and support of data collection modeling and integration along with associated computational and machine/deep learning environments and interfaces for systems biology and phenomics research.
- Analyze large biological data sets to build accurate predictive models of biological processes and publish original work.
- Collaborate with internal and external researchers to analyze and interpret novel results using newly derived methods.
- Contribute to ongoing projects in the group and successfully define and develop their own projects.
Basic Qualifications:
- A master's degree is a minimum requirement. Strong computational science expertise and a solid background in scientific programming and computational techniques are required.
- Familiar with large-scale data analysis and understanding of data models to represent biological concepts is required.
- Excellent written and oral communication skills and the ability to communicate in English to a scientific audience is a requirement.
Preferred Qualifications:
- A doctoral degree and post-doctoral experience in computer science computational biology bioinformatics systems biology or related field is preferred
- Familiarity with phenomics and omics techniques such as RNA-seq proteomics metabolic profiling and genome resequencing and annotation is preferred.
This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.
We accept Word (.doc .docx) Adobe (unsecured .pdf) Rich Text Format (.rtf) and HTML (.htm .html) up to 5MB in size. Resumes from third party vendors will not be accepted; these resumes will be deleted and the candidates submitted will not be considered for employment.
If you have trouble applying for a position please email ORNLRecruiting@ornl.gov.
ORNL is an equal opportunity employer. All qualified applicants including individuals with disabilities and protected veterans are encouraged to apply. UT-Battelle is an E-Verify employer.
