Strengthen the United States’ security by conducting research, training, and evaluating next-generation bioinformatic and data management tools to detect and surveil novel and emerging pathogens at Lawrence Livermore National Laboratory (LLNL)
Requirements
- Comprehensive knowledge and experience developing and applying methods in one or more of the following bioinformatic areas: metagenomics, transcriptomics, metabolomics, proteomics, taxonomy and function analysis, multimodal data integration
- Experience in large data management such as metadata schema development, data cataloging, database development, and integration with pipelines, AI/ML models and workflows
- Experience with high-performance computing, GPU programming, parallel programming, cloud computing, and/or running numerical simulations of complex workflows
- Domain knowledge in protein and genome language models sufficient to communicate effectively with team members and subject matter experts
- Experience and advanced knowledge in developing and applying algorithms in advanced machine learning areas
- Experience developing and implementing machine learning models such as deep learning, unsupervised feature learning, zero- or few-shot learning, active learning, transformer-based language modeling, multimodal learning
Responsibilities
- Analyze metagenomic datasets from environmental (e.g., wastewater, aerosol) and clinical (nasal swab, saliva, etc) samples to determine taxonomy, function and predict impact
- Research, develop, and implement computational and statistical techniques for analyzing novel and unknown sequences
- Conduct multiomic data analysis including genomics, transcriptomics, proteomics and metabolomics for biomarker discovery
- 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, biodetection and microbiome
- Determine, propose, and implement advanced analysis methodologies and contribute to identifying future research directions and proposals that will secure future projects in the field
- Lead the development of manuscripts and presentations documenting project activities and research results
Other
- Ability to secure and maintain a U.S. DOE Q-level security clearance which requires U.S. citizenship
- PhD in Bioinformatics, Computational Biology, Computational Bioengineering, Machine Learning, Statistics, Computer Science, Mathematics, or a related field
- 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
- Demonstrated ability to balance multiple projects and prioritize competing demands while maintaining high-quality standards for deliverables
