About this opportunity
Lawrence Livermore National Laboratory lists this Machine Learning (ML) Bioengineer opportunity in livermore, California. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Reference #: REF8195C
Job Code: SES.2 Science & Engineering MTS 2 / SES.3 Science & Engineering MTS 3
Organization: Engineering
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
Job Description
We have an opening for a Machine Learning (ML) Bioengineer to conduct research training and evaluating next-generation clinical, protein and genome language models. The role is within the Bioresilience Incubator, a dynamic engineering center that integrates predictive computational modeling, machine learning, and experimental biology to advance national security and public health missions. This position will be in the Computational Engineering Division (CED), within the Engineering Directorate, matrixed to the Bioresilience Incubator.
As a member of our multidisciplinary team, you will collaborate with experts in machine learning, molecular simulation, optimization, and bioinformatics, and interface with experimentalists generating large datasets via novel high‑throughput assays. You will leverage in‑house computational tools and contribute to the design, training, and evaluation of new machine learning‑based methods.
Depending on your assignment, this position may offer a hybrid schedule, blending in‑person and virtual presence. You may have the flexibility to work from home one or more days per week.
This position will be filled at either level based on knowledge and related experience as assessed by the responsibilities (outlined below). Applicants hired at the higher level will be assigned the associated responsibilities.
You will
Collaborate with project scientists and engineers to develop, implement, and evaluate computational frameworks and models.
Contribute to the development and application of advanced analysis methodologies; analyze data; document research through presentations and peer‑reviewed publications.
Support technical activities for new capability development and provide solutions to moderately complex to complex technical problems using established and innovative methods.
Contribute to the completion of project milestones, influencing the development of organizational goals and objectives. Establish, implement, and maintain quality standards for project deliverables.
Contribute to briefings and presentations documenting project activities and research results.
Routinely interact with technical contacts at sponsor and partner organizations; represent the organization on specific technical projects.
Participate in the development of future research directions and proposals to secure ongoing projects in computational protein design.
Balance multiple projects/tasks and priorities to ensure deadlines are met, working independently with minimal direction within the scope of assignments.
Perform other duties as assigned.
Additional job responsibilities, at the SES.3 level
Determine, propose, and implement advanced analysis methodologies and contribute to identifying future research directions and proposals that will secure future projects in the field.
Guide the completion of projects and influence the development of organizational goals and objectives.
Lead the development of briefings and presentations documenting project activities and research results.
Represent the organization as the primary technical contact on tasks and projects, serving on internal technical/advisory committees and potentially on external committees.
Oversee the activities of other personnel, providing informal mentoring and guidance to less‑experienced team members.
Contribute to and influence the development of innovative projects, principles, and ideas in computational protein design.
Qualifications
Ability to secure and maintain a U.S. DOE Q‑level security clearance which requires U.S. citizenship.
Master’s degree in Machine Learning, Computational Biology, Statistics, Computer Science, Mathematics, or a related field, or the equivalent combination of education and related experience.
Comprehensive knowledge and experience developing and applying algorithms in one or more of the following machine learning areas: deep learning, unsupervised feature learning, zero‑ or few‑shot learning, active learning, transformer‑based language modeling, multimodal learning.
Experience developing and implementing deep learning models and algorithms using modern software libraries such as PyTorch, TensorFlow, or similar, as evidenced by publications or software releases.
Experience with high‑performance computing, multi‑node, multi‑GPU, distributed training.
Comprehensive knowledge in protein and genome language models sufficient to communicate effectively with team members and subject matter experts.
Proficient 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.
Additional qualifications at the SES.3 level
Advanced knowledge and experience in developing and applying algorithms in machine learning areas.
Significant experience developing and implementing medium to large‑scale deep learning models and algorithms using modern software libraries.
Demonstrated ability to provide guidance and informal mentoring to other personnel and junior team members.
Advanced verbal and written communication skills necessary to effectively collaborate in a multidisciplinary team and present technical information to a variety of audiences.
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
PhD in Computational Biology, Computational Bioengineering, Machine Learning, Statistics, Computer Science, Mathematics, or a related field.
Strong understanding of protein and genome language models and datasets.
Experience publishing research results in peer‑reviewed scientific journals and presenting at conferences and workshops.
Experience with GPU programming and running complex workflows.
Pay Range
$146,340 - $222,564 Annually
$146,340 - $185,544 Annually for the SES.2 level
$175,530 - $222,564 Annually for the SES.3 level
This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employee’s position within the salary range will be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, and business or organizational needs.
Position Information
This is a Career Indefinite position, open to Lab employees and external candidates.
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.
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Worksite address
livermore, CA, 94551, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.