Computational Biology - Postdoctoral Researcher

Note: This is a two-year Postdoctoral appointment with the possibility of extension to a maximum of three years.

We have an opening for a Postdoctoral Researcher to conduct research in the areas of computational systems biology. This research will involve development and use of detailed system-level models of metabolism in microbial communities and development of novel constraint-based modeling methods.  These models and tools will be used to examine the biochemical mechanisms of intercellular interactions. This research could involve development of multiple types of models including genome-scale steady state models, reaction-transport dynamic models, and some ML models.  Some of the modeling efforts involve use of LLNL’s high-performance computing. The position is part of a larger project aiming to develop comprehensive understanding of the systems level resource allocation consequences of microscale symbioses between microbes and bioenergy and bioproduct relevant crops (https://bio-sfa.llnl.gov). The purpose of this appointment is to promote cutting-edge science and requires day-to-day interactions with experimental biologists.  This position is in the Biochemical and Biophysical Systems group of the Biosciences and Biotechnology Division. 

This position requires full-time on-site presence due to the nature of the work.

You will 

• 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.