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 dedicated to fostering a culture that values individuals, talents, partnerships, ideas, experiences, and different perspectives, recognizing their importance to the continued success of the Laboratory’s mission.

Pay Range

$114,912 - $214,032 annually

Job Description

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 https://www.llnl.gov/inclusion/our-values

Security 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.

Pre-Employment Drug Test

External applicant(s) selected for this position must 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.

Wireless and Medical Devices

Per the Department of Energy (DOE), Lawrence Livermore National Laboratory must meet certain restrictions with the use and/or possession of mobile devices in Limited Areas. Depending on your job duties, you may be required to work in a Limited Area where you are not permitted to have a personal and/or laboratory mobile device in your possession. This includes, but not limited to cell phones, tablets, fitness devices, wireless headphones, and other Bluetooth/wireless enabled devices.

If you use a medical device, which pairs with a mobile device, you must still follow the rules concerning the mobile device in individual sections within Limited Areas. Sensitive Compartmented Information Facilities require separate approval. Hearing aids without wireless capabilities or wireless that has been disabled are allowed in Limited Areas, Secure Space and Transit/Buffer Space within buildings.

How to identify fake job advertisements

Please be aware of recruitment scams where people or entities are misusing the name of Lawrence Livermore National Laboratory (LLNL) to post fake job advertisements. LLNL never extends an offer without a personal interview and will never charge a fee for joining our company. All current job openings are displayed on the Career Page under “Find Your Job” of our website. If you have encountered a job posting or have been approached with a job offer that you suspect may be fraudulent, we strongly recommend you do not respond.

To learn more about recruitment scams: https://www.llnl.gov/sites/www/files/2023-05/LLNL-Job-Fraud-Statement-Updated-4.26.23.pdf

Equal Employment Opportunity

We are an equal opportunity employer that is committed to providing all with a work environment free of discrimination and harassment. 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.

Reasonable Accommodation

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 use our online form to submit a request.

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.

Lawrence Livermore National Laboratory

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