Computational Biophysicist- Postdoctoral Researcher
Livermore, CA 
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Job Description
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 Laboratory's mission.


Job Description

We have an opening for a highly motivated Postdoctoral Researcher to conduct research in interfacial science, specifically with expertise in free energy calculations and lipid membrane simulations. You will be an integral member of an interdisciplinary team working with chemists, biologists, and computer scientists to elucidate the mechanism by which small molecules permeate different biological membranes, such as lipid and bacterial outer membranes. You will be responsible for developing new algorithms and simulation protocols, performing simulations, and analyzing data and results. You will present your work regularly and at national meetings and publish your research and findings. 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 predict small molecule permeability thought biological membranes.
  • Create models of a variety of membrane compositions .
  • Perform and automate high throughput molecular dynamics simulations to predict permeability.
  • Develop new analytics to analyze results from simulations.
  • Work with external partners (Universities, Industry, other National Laboratories) to advance computational biology simulation efforts.
  • Prepare detailed weekly progress reports to support project needs and deadlines. Prepare 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.
  • Perform other duties as assigned.

Qualifications
  • PhD in Computer Science, Computational Biology, Computational Physics or Computational Chemistry or related field.
  • Knowledge and experience in membrane simulations and free energy calculations.
  • Ability to work independently on defined research projects, as well as a member of a team.
  • Proven publication record in the field of molecular modeling and simulations
  • 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 sponsors, customers and collaborators.
  • Proficient written, verbal communication and interpersonal skills necessary to deliver presentations, prepare written reports and to interact with a diverse set of scientists, engineers, and other technical and administrative staff.

Qualifications We Desire:

  • Experience collaborating with experimental biologists.
  • Experience in machine learning

Additional Information

Why Lawrence Livermore National Laboratory?

  • Included in 2020 Best Places to Work by Glassdoor!
  • Work for a premier innovative national Laboratory
  • Comprehensive
  • 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 .

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 see.

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 .

CaliforniaPrivacy Notice

The California Consumer Privacy Act (CCPA) grants privacy rights to all California residents. The law also entitlesjob applicants, employees, and non-employee workers to be notified of what personal information LLNL collects and for what purpose. The Employee Privacy Notice can be accessed .


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.

 

Job Summary
Start Date
As soon as possible
Employment Term and Type
Regular, Full Time
Required Education
Doctorate
Required Experience
Open
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