Computational Biology Postdoctoral Researcher

LLNL

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profile Job Location:

Livermore, CA - USA

profile Monthly Salary: Not Disclosed
Posted on: 30+ days ago
Vacancies: 1 Vacancy

Job Summary

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 LLNLs 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 (). 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.

Qualifications :

  • 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.  

Qualifications We Desire

  • Familiarity with programming for parallel computing.
  • Experience using tools of linear programming and operations research.

Additional Information :

#LI-Onsite

Position Information

This is a Postdoctoral appointment with the possibility of extension to a maximum of three years open to those who have been awarded a PhD at time of hire date.

Why Lawrence Livermore National Laboratory

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 ...
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Key Skills

  • Intelligence Community Experience
  • Python
  • Spss
  • Microsoft Word
  • R
  • Regression Analysis
  • Windows
  • Stata
  • Microsoft Powerpoint
  • Research Experience
  • Data Modeling
  • Writing Skills

About Company

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