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.

Pay Range

$108,840 Annually

Job Description

NOTE: This is a two-year Postdoctoral appointment with the possibility of extension to a maximum of three years.

We are seeking a highly motivated Postdoctoral Researcher to join our team in the field of structural vaccinology and computational immunology. The successful candidate will work at the nexus of physics-based modeling and machine learning techniques and apply state-of-the-art experimental evaluations. You will work in an interdisciplinary team that includes computational structural biologists, infectious disease biologists, immunologists, engineers, and others to create a novel capability for designing broadly protective vaccine antigens. We offer a stimulating and inclusive work environment that fosters innovation and encourages professional growth. Join us in our mission to advance vaccine development and make a positive impact on global health.

In this role, you will:

Conduct advanced independent research to design and construct vaccine candidates using both experimental and computational approachesEmploy a variety of structural biology techniques, including X-ray crystallography and cryo-electron microscopy, to determine the 3D structures of vaccine candidates and their interactions with the immune systemUse physics-based modeling, simulation, and machine learning techniques to predict protein-protein interactions, protein stability, and other biophysical propertiesUse high-throughput and automated protein expression systems and characterization assays to design and test vaccine immunogens in vitroDevelop collaboration with a multi-disciplinary team of computational scientists, structural biologists, engineers, and immunologists to integrate computational models with experimental data internally and with external partners in academia, industry, and other national laboratoriesPublish research results in peer-reviewed scientific or technical journals and present results at external conferences, seminars, and/or technical meeting.Work with other scientists to write proposals and expand our program into new areas aligned with your expertise and interests Qualifications PhD in Structural biology, biochemistry, biophysics, computer science, computational biology, computational physics, computational chemistry or equivalent combination of education and related experience.Experience with protein expression, purification, and structural biology techniquesAdvanced knowledge and significant experience in vaccine design and immunologyAbility to work independently on defined research projects, as well as a member of a large team. Ability to develop independent research projects as demonstrated through publication of peer-reviewed manuscriptsAbility to travel, as necessary, to interact with sponsors, customers and collaboratorsAdvanced 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 and computational biologists as well as understanding and using experimental data in combination with computational researchExperience with computational modeling and simulation of protein structure and with other computational tools for describing or predicting biophysical properties of proteinsExperience in developing and training machine-learning based models in high-performance computing systems. Experience computing binding affinity, stability and/or other metrics using scoring functions like RosettaDemonstrated ability to manage and prioritize multiple tasks and deliver high-quality results within deadlines Additional Information

All your information will be kept confidential according to EEO guidelines.

Position Information

This is a Postdoctoral appointment with the possibility of extension to a maximum of three years, open to those who have been awarded a PhD at time of hire date.

Why Lawrence Livermore National Laboratory?

Included in 2024 Best Places to Work by Glassdoor!Flexible Benefits Package401(k)Relocation AssistanceEducation Reimbursement ProgramFlexible schedules (*depending on project needs)Inclusion, Diversity, Equity and Accountability (IDEA) - visit https://www.llnl.gov/diversityOur core beliefs - visit https://www.llnl.gov/diversity/our-values Employee engagement - visit https://www.llnl.gov/diversity/employee-engagement

Security Clearance

None required.  However, if your assignment is longer than 179 days cumulatively within a calendar year, you must go through the Personal Identity Verification process.  This process includes completing an online background investigation form and receiving approval of the background check.  (This process does not apply to foreign nationals.) 

Pre-Employment Drug Test

External applicant(s) selected for this position must 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.

Wireless and Medical Devices

Per the Department of Energy (DOE), Lawrence Livermore National Laboratory must meet certain restrictions with the use and/or possession of mobile devices in Limited Areas. Depending on your job duties, you may be required to work in a Limited Area where you are not permitted to have a personal and/or laboratory mobile device in your possession.  This includes, but not limited to cell phones, tablets, fitness devices, wireless headphones, and other Bluetooth/wireless enabled devices.  

If you use a medical device, which pairs with a mobile device, you must still follow the rules concerning the mobile device in individual sections within Limited Areas.  Sensitive Compartmented Information Facilities require separate approval. Hearing aids without wireless capabilities or wireless that has been disabled are allowed in Limited Areas, Secure Space and Transit/Buffer Space within buildings.

How to identify fake job advertisements

Please be aware of recruitment scams where people or entities are misusing the name of Lawrence Livermore National Laboratory (LLNL) to post fake job advertisements. LLNL never extends an offer without a personal interview and will never charge a fee for joining our company. All current job openings are displayed on the Career Page under “Find Your Job” of our website. If you have encountered a job posting or have been approached with a job offer that you suspect may be fraudulent, we strongly recommend you do not respond.

To learn more about recruitment scams: https://www.llnl.gov/sites/www/files/2023-05/LLNL-Job-Fraud-Statement-Updated-4.26.23.pdf

Equal Employment Opportunity

We are an equal opportunity employer that is committed to providing all with a work environment free of discrimination and harassment. 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.

We invite you to review the Equal Employment Opportunity posters which include EEO is the Law and Pay Transparency Nondiscrimination Provision.

Reasonable Accommodation

Our goal is to create an accessible and inclusive experience for all candidates applying and interviewing at the Laboratory.  If you need a reasonable accommodation during the application or the recruiting process, please use our online form to submit a request. 

California Privacy Notice

The California Consumer Privacy Act (CCPA) grants privacy rights to all California residents. The law also entitles job 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.

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