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Lawrence Livermore National Laboratory · 1 day ago

Computational Biology - Postdoctoral Researcher

Livermore, CA

Full-time

Onsite

Senior Level

$9,907/mo - $9,907/mo

Lawrence Livermore National Laboratory (LLNL) is dedicated to strengthening the United States’ security through innovative research. They are seeking a Postdoctoral Researcher to conduct research in computational systems biology, focusing on the development of models to examine intercellular interactions in microbial communities.

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Growth Opportunities

No H1B

U.S. Citizen Only

Responsibilities

Conduct research in computational microbiology in the areas of microbial ecology and microbial community engineering

Develop genome-scale models of metabolism in bacteria and algae

Develop spatially multiscale dynamic reaction and transport models of biophysical systems

Investigate the system-level underpinnings of processes involved in symbiotic interactions between algae and bacteria in co-cultured communities

Examining interaction between microbes and the surrounding medium using methods such as dynamic flux balance analysis and flux sampling

Contribute to the conception, design and execution of experiments and in silico analyses to address defined problems

Communicate with experimental biologists for systems biology studies

Develop new computational tools for high performance computing studies

Work in a collaborative multidisciplinary team environment to accomplish goals

Publish research in peer-reviewed journals and present research at conferences

Perform other duties as assigned

Qualification

In relevant fieldMathematical modelingBioinformaticsSystems biologyHigh-performance computingProgramming for parallel computingLinear programming toolsEffective communicationLeadership skillsCollaborative teamwork

Required

PhD in microbiology, bioengineering, computer science, chemistry/biochemistry, physics or related field

Demonstrated understanding of the concepts of microbial physiology (particularly metabolism), systems biology and dynamics of multi-cellular communities

Previous experience in mathematical modeling of networks

Experience in bioinformatics and computational analyses

Familiarity with system-level modeling methods like FBA and tools like COBRA

Demonstrated effective communication skills through publication of journal articles and presentations at seminars and scientific meetings

Demonstrated leadership skills with desire and ability to work in a collaborative, multidisciplinary team environment