Postdoctoral Researcher – Microbial Bioinformatics

Lawrence Livermore National Laboratory
Job Location
7000 east ave
livermore, CA 94551
$72,000 - $84,000

LLNL offers a challenging environment and a highly competitive salary and benefits package. Starting salaries for postdoctoral researchers at LLNL range from $72,000 to $84,000 per year with full medical and paid vacation benefits. 

Job Description

This postdoctoral position is for a scientist to conduct research on genomics, metagenomics, metatranscriptomics, and metaproteomics of microbial communities to understand how symbiotic bacteria influence lipid production by microalgae. We seek a scholar with experience in genome annotation and functional prediction from very large next-generation-sequencing (NGS) data, including competency in a broad range of bioinformatics analysis software, and the ability to program and script in LINUX/UNIX environment (Perl, Python, or C/C++). The postdoc will be part of a collaborative observational, experimental, and modeling team studying the metabolic interaction of heterotrophic bacteria and lipid-producing microalgae and how these interactions control microalgal population resilience to provide a reliable and sustainable source of bioenergy. The project is led by Xavier Mayali and the metabolic modeling component is led by Ali Navid. Patrik D'haeseleer and Carol Zhou are leading the bioinformatics efforts on gene/protein functional prediction. 

ESSENTIAL DUTIES- Conduct genome annotation and function prediction across multiple genomes for the needs of the Biofuels Research project.- Perform protein structure and function analyses using advanced structure-based bioinformatics methods in support of research efforts in the Biofuels Research project.- Recommend software solutions for incorporation into existing LLNL framework.- Interact with scientists from LLNL programs to help address their advanced bioinformatics needs.- Work in a collaborative multidisciplinary team environment to accomplish goals.- Document research; publish papers in peer-reviewed journals, and present results within the DOE community and at conferences. 


- Recent PhD in computational biology, bioinformatics, comparative genomics, biology, or related field.
- Formal training in one or more computer programming languages.
- Experience in one or more of the following areas: Comparative genomics, proteomics, protein structure modeling, protein function prediction, protein annotation, genome annotation.
- Experience working with large Next-Generation Sequence data sets and gene expression data.
- Experience scripting in LINUX/UNIX environment; proficiency in Python, Perl, C/C++, or an equivalent programming language.
- Demonstrated competency in a broad range of bioinformatics analysis software, and knowledgeable about the current publicly available sequence, structure, and annotation databases (e.g., NCBI databases, PDB, SCOP, Uni-Prot, Gene Ontology).
- Experience with sequence analysis software (e.g., Blast, Psi-Blast, ClustalO), and familiarity with statistical techniques and software (R or equivalent) and data analysis (clustering, classification) methods.
- Demonstrated ability to develop independent research projects as demonstrated through publications of peer-reviewed journals/manuscripts.
- Demonstrated initiative and interpersonal skills with desire and ability to work in a collaborative, multidisciplinary team environment.
- Demonstrated fundamental verbal and written communication skills as reflected in effective presentations at seminars, meetings and/or teaching lectures.

About Our Organization

LLNL is operated by the Lawrence Livermore National Security, LLC, for the U.S. Department of Energy, National Nuclear Security Administration. 

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, disability, medical condition, protected veteran status, age, citizenship, or any other characteristic protected by law.

At Nature, Johns Hopkins' Gundula Bosch describes her graduate program that aims to get doctoral students thinking about the big picture.

Patricia Fara writes about childcare funding, and women in science and science history at NPR.

National Institute of Environmental Health Sciences researchers have visualized the career paths of former postdocs.

A new survey from the Pew Research Center finds that half of women working in STEM have experienced gender discrimination at work.