Bioinformatic Scientist

We have an opening for a Bioinformatic Scientist to conduct research training and evaluating next-generation bioinformatic and data management tools. As a member of our multidisciplinary team you will collaborate with experts in artificial intelligence machine learning computational biology software engineering and interface with experimentalists generating large datasets. You will explore opportunities to further scientific capabilities in detection and surveillance of novel and emerging pathogens. You will develop new methods tools and algorithms for metagenomic sequence data analysis and pathogen characterization. You will work with multiomic datasets and apply state of the art machine learning models for integrated data analysis and prediction. This position is in the Genomics group in the Biosciences and Biotechnology Division.

This position may offer a hybrid schedule which includes the flexibility to work from home one or more days per week after a probationary period. The specifics of the hybrid schedule including the exact number of days required in the office and virtual work options may vary based on the needs of the team and the organization. 

You will

• 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.
• Routinely interact with technical contacts at sponsor and partner organizations; 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.

Qualifications :

• 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.
• 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.
• 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.
• Demonstrated ability to provide guidance and informal mentoring to other personnel and junior team members.
• Demonstrated ability to represent the organization as a primary technical contact and to contribute to the development of innovative projects principles and ideas.

Qualifications We Desire

• 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.

Additional Information :

#LI-Hybrid

Position Information

This is a Career Indefinite position open to Lab employees and external candidates.

Why Lawrence Livermore National Laboratory

• Included in 2025 Best Places to Work by Glassdoor!
• Flexible Benefits Package
• 401(k)
• Relocation Assistance
• Education Reimbursement Program
• Flexible schedules (*depending on project needs)
• Our values - visit  Clearance

  This position requires a Department of Energy (DOE) Q-level clearance.  If you are selected we will initiate a Federal background investigation to determine if you meet eligibility requirements for access to classified information or matter. Also all L or Q cleared employees are subject to random drug testing.  Q-level clearance requires U.S. citizenship. 

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  Remote Work :

  No

  
  

  Employment Type :

  Full-time