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Genomics - Postdoctoral Researcher

Lawrence Livermore National Laboratory
Job Location
7000 East Ave,
Livermore, CA 94551
United States
Job Description

Genomics - Postdoctoral Researcher


Lawrence Livermore National Laboratory


Join us and make YOUR mark on the World!


Come join Lawrence Livermore National Laboratory (LLNL) where we apply science and technology to make the world a safer place; now one of 2019 Best Places to Work by Glassdoor!


We have an opening for a Postdoctoral researcher to work in the area of quantitative genetics. Opportunities exist to further scientific understanding of the genetic, epigenetic, and environmental determinants of quantitative traits contributing to fitness, cognitive performance, metabolic output, and disease susceptibility. You will develop new methods, tools, and workflows for analysis of -omic data, including genomic, transcriptomic, epigenomic, proteomic, and metabolomic data. This position is in the Genomics group in the Biosciences and Biotechnology Division.



- Design and conduct studies of molecular genetic and metabolic data, such as whole genome DNA sequencing, metagenomic sequencing, epigenomic sequencing, RNA-Seq, and LC-MS metabolomics data.

- Apply statistical analyses and develop predictive models to understand a diverse range of quantitative traits and human phenotypes.

- Research, design, and implement analysis techniques and computing approaches to model interactions between genomic, transcriptomic, and metabolic factors.

- Pursue independent (but complementary) research interests and interact with a broad spectrum of scientists internally and externally to the Laboratory.

- Publish research results in peer-reviewed scientific or technical journals and present results at external conferences seminars and/or technical meetings.

- Organize, analyze, and present data from research at seminars, technical meetings, national and international conferences.

- Perform other duties as assigned.



- Recent Ph.D. in computational biology, applied mathematics, biophysics, biostatistics, or a related field.

- Experience in developing and applying novel analytic techniques and modeling approaches to the study of complex systems.

- Experience with statistical analysis and data visualization.

- Familiarity with quantitative biology.

- Ability to develop independent research projects as demonstrated through publication of peer-reviewed literature.

- Proficient verbal and written communication and interpersonal skills to collaborate effectively in a multidisciplinary team environment and present and explain technical information.


- Understanding of the principles of metagenomic sequence analysis.

- Experience with RNA-Seq, microarray, or other gene expression profiling techniques, and targeted or untargeted metabolomic profiling techniques.

- Experience with quantitative health analytics.


Security Clearance: None required.


Note: This is a two year Postdoctoral appointment with the possibility of extension to a maximum of three years. Eligible candidates are recent PhDs within five years of the month of the degree award at time of hire date.


About Us


Lawrence Livermore National Laboratory (LLNL), located in the San Francisco Bay Area (East Bay), is a premier applied science laboratory that is part of the National Nuclear Security Administration (NNSA) within the Department of Energy (DOE). LLNL's mission is strengthening national security by developing and applying cutting-edge science, technology, and engineering that respond with vision, quality, integrity, and technical excellence to scientific issues of national importance. The Laboratory has a current annual budget of about $2.1 billion, employing approximately 6,800 employees.


LLNL is an affirmative action/ equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, marital status, national origin, ancestry, sex, sexual orientation, gender identity, disability, medical condition, protected veteran status, age, citizenship, or any other characteristic protected by law.


For full application instructions and position description, visit


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Copyright ©2017 Inc. All rights reserved.



How to Apply

For full application instructions and position description, visit

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