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Computational Protein Optimization Lead Scientist
Lawrence Livermore National Laboratory

  • Ability to secure and maintain a U.S. DOE Q-level security clearance, which requires U.S. Citizenship.
  • Advanced degree in Computational Biology, Machine Learning, Statistics, Computer Science, Mathematics or a related field.
  • Demonstrated technical leadership in leading multidisciplinary teams in fields related to machine learning, such as mentorship or team management.
  • Expert verbal and written communication skills as reflected in effective presentations at seminars, meetings and/or teaching lectures.
  • Initiative and interpersonal skills with desire and ability to work in a collaborative, multidisciplinary team environment.

Additional Qualifications We Desire

  • A good-to-strong understanding of bioinformatics, protein biology, antibody development, and pathogen science, especially virology
  • Experience with high-performance computing, GPU programming, parallel programming, cloud computing, and/or related methods including running numerical simulations of complex workflow
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About Lawrence Livermore National Laboratory
For more than 60 years, the Lawrence Livermore National Laboratory has applied science and technology to make the world a safer place.Livermore’s defining responsibility is ensuring the safety, security and reliability of the nation’s nuclear deterrent. Yet LLNL’s mission is broader than stockpile stewardship, as dangers ranging from nuclear proliferation and terrorism to energy shortages and climate change threaten national security and global stability. The Laboratory’s science and engineering are being applied to achieve breakthroughs for counterterrorism and nonproliferation, defense and intelligence, energy and environmental security.
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