Research Prime

Computational Chemist - Postdoctoral Researcher

Organisation Name: LLNL
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Country: United States

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Company Description

Join us and make YOUR mark on the World!

Are you interested in joining some of the brightest talent in the world to strengthen the United States security? Come join Lawrence Livermore National Laboratory (LLNL) where our employees apply their expertise to create solutions for BIG ideas that make our world a better place.

We are committed to a diverse and equitable workforce with an inclusive culture that values and celebrates the diversity of our people talents ideas experiences and perspectives. This is essential to innovation and creativity for continued success of the Laboratorys mission.

Job Description

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 highly motivated Computational Chemist - Postdoctoral Researcher to conduct research in enzyme catalysis and small molecule drug discovery with expertise in molecular modeling and simulations of biological systems free energy calculations and quantum mechanical calculations. You will be responsible for investigating the catalysis mechanism of a hydrolase protein and searching for hit compounds or designing compounds to improve the catalysis. You will present your work regularly and publish your research and findings which includes occasional domestic travel. This position is in the Biochemical and Biophysical Systems group of the Biosciences and Biotechnology Division.

In this role you will:

  • Conduct advanced independent research to investigate enzyme catalysis mechanism and design small molecule to improve the catalysis.
  • Perform and automate high throughput molecular dynamics simulations and free energy calculations to predict small molecular binding.
  • Develop new analytics to analyze results from complex biology experiments and simulations.
  • Work with external partners (Universities Industry other National Laboratories) to advance computational biology simulation efforts.
  • Prepare complex and detailed weekly progress reports to support project needs and deadlines. Prepare complex written analyses and verbal briefings and present research results to sponsors.
  • Develop new and innovative research methods relevant to the needs of Laboratory programs and/or external funding agencies.
  • Contribute to proposals and statements of work.
  • Publish research results in peer-reviewed scientific or technical journals and present results at external conferences seminars and/or technical meetings which require travel.
  • Perform other duties as assigned.

Qualifications

  • PhD in computer science computational biology computational physics or computational chemistry.
  • Advanced knowledge and significant experience in metal ions force field development metalloenzyme modeling protein-ligand binding molecular dynamics simulations and free energy calculations.
  • Significant experience in quantum mechanical calculation hybrid quantum mechanics/ molecular mechanics (QM/MM) simulations and enzyme catalysis.
  • Ability to work independently on defined research projects as well as a member of a team with a diverse set of scientists engineers and other technical and administrative staff.
  • Advanced computer skills including programming experience with perl python or C++ preferably in a UNIX environment.
  • Ability to develop independent research projects as demonstrated through publication of peer-reviewed manuscripts.
  • Ability to travel as necessary to interact with collaborators.

Qualifications We Desire

  • Experience in machine learning.
  • Experience in collaborating with experimental biologists.
  • Experience in automated analysis and data visualization.

Additional Information

Why Lawrence Livermore National Laboratory?

  • Included in 2020 Best Places to Work by Glassdoor!
  • Work for a premier innovative national Laboratory
  • Comprehensive Benefits Package
  • Flexible schedules (*depending on project needs)
  • Collaborative creative inclusive and fun team environment

Learn more about our company selection process position types and security clearances by visiting our Careersite.

COVID-19 Vaccination Mandate

LLNL demonstrates its commitment to public safety by requiring that all new Laboratory employees be immunized against COVID-19 unless granted an accommodation under applicable state or federal law. This requirement will apply to all new hires including those who will be working on site as well as those who will be teleworking.

Security Clearance

LLNL is a Department of Energy (DOE) and National Nuclear Security Administration (NNSA) Laboratory. Most positions will require a DOE L or Q clearance (please reference Security Clearance requirement). If you are selected wewill initiate a Federal background investigation to determine if youmeet eligibility requirements for access to classified information or matter. In addition all L or Q cleared employees are subject to random drug testing. An L or Q clearance requires U.S. citizenship. If you hold multiple citizenships (U.S. and another country) you may be required to renounce your non-U.S. citizenship before a DOE L or Q clearance will be processed/granted. For additional information please seeDOE Order 472.2.

Equal Employment Opportunity

LLNL is an affirmative action and equal opportunity employer that values and hires a diverse workforce. 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 pregnancy protected veteran status age citizenship or any other characteristic protected by applicable laws.

If you need assistance and/or a reasonable accommodation during the application or the recruiting process please submit a request via our online form.

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Posting Date: Jan 17, 2022
Closing Date:
Organisation Website/Careers Page: https://www.llnl.gov/join-our-team/careers/find-your-job/all/computational/3743990000100922


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