Computational Biologist - Academic Graduate Appointee

Computational Biologist - Academic Graduate Appointee

Entry Level | Full-time

Physical Life Sciences | Livermore, CA | 09/22/2026

Reference #: REF
8888P

Job Code: 710.0 Academic Graduate Appointee Ex

Organization: Physical and Life Sciences

Position Type: Academic Graduate Appointee

Security Clearance: Anticipated DOE Q clearance (requires U.S. citizenship and a federal background investigation)

Drug Test: Required for external applicant(s) selected for this position (includes testing for use of marijuana)

Medical Exam: Not applicable

Join us and make YOUR mark on the World!

Lawrence Livermore National Laboratory (LLNL) has turned bold ideas into world-changing impact advancing science and technology to strengthen U.S. security and promote global stability.

Our mission spans four critical national security areas nuclear deterrence, threat preparedness, energy security, and multi-domain defense empowering teams to take on the toughest challenges of today and tomorrow. With a culture built on innovation and operational excellence, LLNL is a place where your expertise can make a real impact.

NOTE: This is a one-year Academic Graduate Appointee with the possibility of extension to a maximum of two years.

We have an opening for an Academic Graduate Appointee to support the development and application of computational analytics, reproducible data workflows, and interactive dashboards for biosurveillance applications. You will contribute to multidisciplinary efforts supporting syndromic surveillance, environmental metagenomics, and related public health and biological threat preparedness applications. In this role, you will assist with computational methods and reproducible bioinformatics workflows, including the evaluation of approved artificial intelligence-enabled tools.

You will work with diverse biological, environmental, clinical, and surveillance datasets to support data quality assessment, analysis, visualization, and timely scientific interpretation. You will use, with guidance, high-performance computing resources to execute scalable analyses and help develop robust, maintainable computational capabilities. Under close supervision and in accordance with established procedures, you will support analytical workflow development, perform data analysis, develop reporting tools, and communicate technical results to team members and collaborators.

This position is in the Advanced Biotechnologies Integration Group in the Biosciences and Biotechnology Division within the Physical and Life Sciences Directorate.

This position requires full-time on-site presence due to the nature of the work.

You will

• Assist with development of computational analytics and interactive dashboards for biosurveillance, syndromic surveillance, and environmental metagenomics applications.
• Build, test, document, and maintain reproducible bioinformatics and data processing workflows using workflow management frameworks.
• Analyze structured and unstructured biological, environmental, and surveillance data to identify trends, assess data quality, and support scientific decision making.
• Assist with processing, characterization, and visualization of metagenomic sequencing data, including taxonomic, functional, and quality-control analyses.
• Apply high-performance computing resources to execute established bioinformatics, statistical, and machine learning workloads.
• Evaluate approved agentic tools, with guidance, to support code development, data exploration, documentation, and analytical reporting, consistent with project requirements and established computing practices.
• Assist with development of data-ingestion, transformation, and validation processes that support reliable downstream analysis and dashboard visualization.
• Create…