Computational Bioengineer - Postdoctoral Researcher

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

$117,900 - $135,060 Annually

This is the lowest to highest salary in good faith we would pay for this role at the time of this posting. Pay will not be below any applicable local minimum wage. 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.

We have an opening for a highly motivated Postdoctoral Researcher to conduct research in protein engineering for biomaterials with expertise in machine learning (ML)-driven computational pipeline for protein and polymer design. You will be an integral member of an interdisciplinary team working with computational biologists, and experimental chemists and biologists. You will leverage computational tools and work to develop new ML-based approaches and tools to design and optimize intrinsically disordered proteins (IDPs) to match desired material properties. You will also work closely with an existing ML and molecular dynamics team to understand current capabilities and jointly develop a vision for development of next generation protein design models and tools. You will present your work regularly and publish your research and findings, which includes occasional domestic travel. This position is in the Computational Engineering Division (CED), within the Engineering Directorate.

In this role, you will

• Conduct advanced independent research, designing, analyzing, and extending ML-based tools (including large language model-based) for design and optimization of intrinsically disordered proteins (IDPs) and polymers.
• Participate in the development of protein design computational frameworks and analysis tools.
• Collaborate with external partners (Universities, Industry, other National Laboratories) to advance computational biology simulation efforts.
• Prepare complex and detailed progress reports, written analyses, and verbal briefings to support project needs and deadlines and to present research results to sponsors.
• Independently pursue the development of new and innovative research methods relevant to the needs of Laboratory programs and/or external funding agencies.
• Contribute to proposals and statements of work.
• Publish research results in peer-reviewed scientific or technical journals and present results at external conferences, seminars, and/or technical meetings.
• Travel as needed to coordinate with research collaborators and to attend external meetings and conferences.
• Perform other duties as assigned.

• PhD in Machine Learning, Computational Biology, Statistics, Computer Science, Mathematics or a related technical or scientific field, or the equivalent combination of education and related experience.
• Fundamental knowledge and/or experience developing and applying algorithms in several of the following ML areas/tasks: protein sequence to function ML, polymer design ML, deep learning, unsupervised feature learning, zero- or few-shot learning, active learning, transformer-based language modeling, multimodal learning, ensemble methods.
• Experience developing and implementing deep learning models and algorithms using modern software libraries such as PyTorch, TensorFlow, or similar as evidenced through publications or software releases.
• Experience working with proteins and polymers, and domain knowledge in bioinformatics and protein structure modeling sufficient to communicate effectively with team members.
• Ability to work independently on defined research projects, as well as a member of a team with a diverse set of scientists, engineers, and other technical and administrative staff.
• Computer skills including programming experience with Python, or C++, and expertise with the UNIX and high-performance computing environments.
• Ability to develop independent research projects as demonstrated through publication of peer-reviewed manuscripts.
• Ability to travel as necessary.

Qualifications We Desire

• Strong understanding of protein bioinformatics and/or protein function prediction.
• Experience with high-performance computing, GPU programming, parallel programming, cloud computing, and/or related methods including running numerical simulations of complex workflow.
• Experience in collaborating with experimental biologists.

#LI-Hybrid

Position Information

This is a Postdoctoral appointment with the possibility of extension to a maximum of three years, open to those who have been awarded a PhD at time of hire date.

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

None required.  However, if your assignment is longer than 179 days cumulatively within a calendar year, you must go through the Personal Identity Verification process.  This process includes completing an online background investigation form and receiving approval of the background check.  (This process does not apply to foreign nationals.) 

National Defense Authorization Act (NDAA)

The 2025 National Defense Authorization Act (NDAA), Section 3112, generally prohibits citizens of China, Russia, Iran and North Korea without dual US citizenship or legal permanent residence from accessing specific non-public areas of national security or nuclear weapons facilities.  The restrictions of NDAA Section 3112 apply to this position.  To be qualified for this position, Candidates must be eligible to access the Laboratory in compliance with Section 3112.

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

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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.

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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.

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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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