Refine Search Clear All

Career Areas

Show More

Experience Level

Employment Type



Show More

Security Clearance

Keyword Search

Back to open positions

Protein Structure Bioinformaticist

Entry Level | Full-time
Information Technology/Computing | livermore, CA | 08/23/2022

Apply Now  

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 Protein Structure Bioinformaticist. You will perform work in a challenging R&D environment in support of the Laboratory's programs that integrate molecular dynamics simulations, machine learning, structural bioinformatics, modeling, computer science, and large experimental datasets in the areas of antibody and vaccine design. This position is within the Global Security Computing Applications Division (GS-CAD) of the Computing Directorate.

This position will be filled at either the SES.2 or SES.3 level depending on your qualifications. Additional job responsibilities (outlined below) will be assigned if you are selected at the higher level.

In this role you will

  • Collaborate with scientists and researchers in one or more of the following areas: antibody engineering, protein structure modeling and analysis, protein-protein interface analysis, information visualization, data integration, scientific data mining, database technology, scalable tool development, and High Performance Computing (HPC) simulation and evaluation.
  • Develop bioinformatics tools for analysis and characterization of protein structure properties of antibodies and antigens using large experimental and synthetic datasets, while working with other LLNL scientists and application developers to.
  • Design and implement analysis techniques targeting a large number of protein structures and sequences.
  • Carry out development of moderately complex data analysis algorithms to address program and sponsor bioinformatics requirements.
  • Engage other developers frequently to share relevant knowledge, opinions, and recommendations, working to fulfill deliverables as a team.
  • Design technical solutions with limited direction, participate as a member of a multidisciplinary team to design, and implement software and perform analyses to address project requirements.
  • Perform other duties as assigned.

Additional job responsibilities, at the SES.3 level

  • Lead design and development of a bioinformatics project to ensure complex tasks and deadlines are met.
  • Utilize team members skills to complete complex projects/tasks, and solve abstract complex problems/ideas and convert them into useable algorithms/software modules.
  • Provide solutions that require in-depth analysis of multiple factors and the creative use of established methods.


  • Bachelor’s degree in Bioinformatics, Computational Biology, Computer Science, Engineering, or related field, or the equivalent combination of education and related experience
  • Comprehensive knowledge of one or more of the following: scientific data analysis, statistical analysis, data management technologies, protein structure analysis, protein structure modeling, homology modeling, protein structure alignment, protein-protein interface analysis, antibody engineering.
  • Experience developing and/or applying new bioinformatics software tools and workflow/pipelines to solve problems in computational protein analysis.
  • Experience with bioinformatics analysis of experimental data in molecular biology.
  • Broad experience developing software with Python or R in Linux or Windows.
  • Broad experience with data analysis algorithms, data management approaches, relational databases, or bioinformatics algorithms.
  • Effective interpersonal skills necessary to interact with all levels of personnel.
  • Proficient verbal and written communication skills necessary to effectively collaborate in a team environment and present and explain technical information.

Additional qualifications, at the SES.3 level

  • Significant experience developing one or more of the following: bioinformatics tools on molecular simulation data, analysis to guide experimental development, and experimental validation tools.
  • Significant experience developing bioinformatics tools on molecular biology data.
  • Advanced analytical, problem-solving, and decision-making skills to develop creative solutions to complex problems, as well as advanced verbal and written communication skills necessary to effectively collaborate in a team environment and present and explain technical information and provide advice to management.

Qualifications We Desire

  • Master’s degree or Ph.D. in Bioinformatics, Computational Biology, Computer Science, Engineering, or related field.
  • Publication record demonstrating research in the area of computational biology.
  • Experience with protein structure bioinformatics, protein-protein docking, binding prediction, computational protein chemistry, and/or computational immunology.
  • Experience working with data from phage and/or yeast display libraries.

Additional Information

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

Position Information

This is a Career Indefinite position. Lab employees and external candidates may be considered for this position.

Why Lawrence Livermore National Laboratory?

  • Included in 2022 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 Career site

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.)  For additional information, please see DOE Order 472.2

Pre-Employment Drug Test

External applicant(s) selected for this position will be required to 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.

Equal Employment Opportunity

LLNL is an equal opportunity employer that is committed to providing candidates and employees with a work environment free of discrimination and harassment. We value and hire a diverse workforce as it is a vital component of our culture and success. 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.

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

Reasonable Accommodation

At LLNL, 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 submit a request via our online form

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.

Videos To Watch