Bioinformatics Scientist

Mid-Senior Level | Full-time
Physical Life Sciences | Livermore, CA | 05/29/2026
Reference #: REF
8423K
Job Code: SES.
3 Science & Engineering MTS 3
Organization: Physical and Life Sciences
Position Type: Career Indefinite
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 Apply Now

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.

We have an opening for a Bioinformatics Scientist to conduct research, training, and evaluating next-generation bioinformatics and data management tools. As a member of our multidisciplinary team, you will collaborate with experts in artificial intelligence, machine learning, molecular biology, software engineering, and interface with experimentalists generating large datasets to explore opportunities to advance scientific capabilities in detection and surveillance of novel and emerging pathogens.

This will include the development of new methods, tools, and algorithms for metagenomic sequence data analysis and pathogen characterization in addition to working with multiomic datasets and applying state of the art machine learning models for integrated data analysis and prediction. This position is in the Advanced Biotechnologies Integration group in the Biosciences and Biotechnology Division (BBTD).

• Analyze metagenomic datasets from environmental (e.g., wastewater, aerosol) and clinical (nasal swab, saliva, etc) samples to determine taxonomy and function.
• Research, develop, and implement computational and statistical techniques for analyzing novel and unknown sequences.
• Develop simulation-based and agentic tools for hypothesis generation and in silico testing.
• Contribute to biological data management such as metadata schemas, databases, data catalogs and integrated workflows.
• Contribute to and influence the development of innovative projects, principles, and ideas in biosurveillance and biodetection.
• Interact with technical contacts at sponsor and partner organizations routinely; represent the organization on specific technical projects.
• Determine, propose, and implement advanced analysis methodologies and contribute to identifying future research directions and proposals that will secure future projects in the field.
• Contribute to the completion of project milestones, balance multiple projects/tasks and priorities to ensure deadlines are met, working independently with minimal direction within the scope of assignments.
• Lead the development of manuscripts and presentations documenting project activities and research results.
• Oversee the activities of other personnel, providing informal mentoring and guidance to less experienced team members.
• Perform other duties as assigned.

• Ability to secure and maintain a U.S. DOE Q-level security clearance which requires U.S. citizenship.
• Master’s degree in Computational Biology, Biophysics, Computational Bioengineering, Machine Learning, Statistics, Computer Science, Mathematics, or equivalent combination of education and related technical experience.
• Significant experience in metagenomics, bacterial genomics, and next-generation sequencing (NGS) analysis.
• Advanced experience in scientific computing tools such as C/C++, Python, R, MATLAB, Nextflow, Postgre
  
  SQL, MySQL, Mongo
  
  DB, and HPC schedulers.
• Significant experience developing and deploying end-to-end workflows for pathogen detection, taxonomic classification, genome assembly, subtyping, and metagenomic analysis.
• Proven ability to translate mission needs into scalable, reusable analytical frameworks and tools, with experience supporting both research and operational bioinformatics activities.
• Advanced experience in large data management such as metadata schema development, data cataloging, database development, and integration with pipelines, AI/ML models and workflows.
• Significant experience with high-performance computing, GPU programming, parallel programming, cloud computing, and/or running numerical simulations of complex workflows.
• Advanced verbal and written communication skills necessary to collaborate within a team environment and present technical information to varied audiences.
• Effective interpersonal skills and initiative necessary to interact with all levels of personnel and work independently in a collaborative, multidisciplinary team environment.
• Advanced…