Computational Systems Biology - Postdoctoral Researcher
Organisation Name: Lawrence Livermore National Laboratory (LLNL)
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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! The Biosciences and Biotechnology Division of the Physical and Life Sciences Directorate has an opening for a Post-Doctoral Researcher to conduct research in the areas of computational systems biology. The research will focus on development of detailed system-level models of metabolism in microbial communities for examination of biochemical mechanisms of intercellular interactions; as well as, assessing phenotypic capabilities of organisms. This research will involve development of multiple types of models including genome-scale steady state models. The purpose of this appointment is to promote cutting-edge science and requires day-to-day interactions with experimental biologists. ESSENTIAL DUTIES - Conduct research in computational microbiology in the areas of microbial ecology and bioenergy research. - 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 (FBA). - 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. - Work in a collaborative multidisciplinary team environment to accomplish goals. - Publish research in peer-reviewed journals and present research at conferences. QUALIFICATIONS - Recent PhD in microbiology, bioengineering, computer science, chemistry/biochemistry, physics or related field. - Understanding of the concepts of microbial physiology (particularly metabolism), systems biology and dynamics of multi-cellular communities. - Previous experience in mathematical modeling of networks. - Effective communication skills through publication of journal articles and presentations at seminars and scientific meetings. - Desire and ability to work in a collaborative, multidisciplinary team environment. DESIRED QUALIFICATIONS - Experience using tools of linear programming and operations research. - Experience in bioinformatics and computational analyses. - Familiarity with system-level modeling methods like FBA and tools like COBRA. Pre-Employment Drug Test: External applicant(s) selected for this position will be required to pass a post-offer, pre-employment drug test. This includes testing for use of marijuana as Federal Law applies to us as a Federal Contractor. 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.
