Computational Bioengineer Postdoctoral Researcher

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.

Qualifications :

• 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.

Additional Information :

#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)
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  Remote Work :

  No

  
  

  Employment Type :

  Full-time