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 Postdoctoral Researcher to study the behavior of integral membrane proteins (such as GPCRs) within a complex lipid environment using molecular dynamics simulations of various resolutions (coarse-grained and atomistic). You will be an integral member of an interdisciplinary team working with experimental biophysicists biologists and computer scientists to determine how different membrane environments can influence aspects of protein behavior. This research will focus investigating simulation campaigns primarily using coarse-grained models. Advanced automated and specific analysis of the lipid behavior and the protein-lipid and protein-protein interactions will be required. 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 study interactions between membrane proteins and lipid bilayers and their influence on one another.
• Create models of a variety of membrane proteins in different states.
• Perform and automate high throughput molecular dynamics simulations to assess protein/lipid interactions and dependencies.
• Develop new analytics to analyze results from simulations in an automated fashion.
• Work with both internal and external partners (Universities Industry other National Laboratories) to integrate computational biology simulations efforts with experimental studies.
• 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 and travel as needed.

Qualifications

• PhD in computer science computational biology computational physics or computational chemistry or equivalent combination of education and related experience.
• Knowledge and experience in coarse-grained membrane protein simulations preferably with specific emphasis on complex lipid mixtures.
• 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 python or C++ 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 in collaborating with experimental biologists.
• Experience in machine learning.
• 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.

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 here.

Videos To Watch