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Computational Bioengineering Specialist
2 months ago
Company Overview
At Lawrence Livermore National Laboratory (LLNL), we are dedicated to enhancing national security through innovative scientific research. Our diverse workforce is committed to fostering an inclusive environment that values the unique perspectives and talents of every individual.
Position Summary
We are seeking multiple Postdoctoral Researchers to contribute to our dynamic team of Computational Bioengineers. This role involves pioneering research to develop a cutting-edge, machine learning-based computational framework for protein design and the optimization of protein-protein interactions within the Center for Predictive Bioresilience (CPB). CPB is a vibrant engineering center that integrates predictive computational modeling, machine learning, and experimental biology to advance medical countermeasures.
Key Responsibilities
- Collaborate with project scientists and engineers to evaluate and implement computational frameworks tailored for protein design.
- Develop analytical methodologies, analyze data, and document research findings through presentations and publications in peer-reviewed journals.
- Support the development of new capabilities and address technical challenges.
- Ensure quality standards for project deliverables through meticulous documentation of methods.
- Publish research outcomes in scientific journals and present findings at conferences and seminars.
- Engage in travel as necessary to coordinate research efforts with collaborators.
- Perform additional duties as assigned.
Qualifications
- PhD in Machine Learning, Computational Biology, Statistics, Computer Science, Mathematics, or a related discipline.
- Proficient in developing and applying algorithms in machine learning areas such as protein structure analysis, deep learning, and feature learning.
- Experience with deep learning frameworks like PyTorch or TensorFlow, demonstrated through publications or software contributions.
- Familiarity with protein structures and bioinformatics, enabling effective communication with team members.
- Experience collaborating with multidisciplinary teams to apply computational techniques in engineering contexts.
- Strong verbal and written communication skills for effective teamwork and technical presentations.
- Willingness to travel as required.
Preferred Qualifications
- Ability to obtain and maintain a U.S. DOE Q-level security clearance, requiring U.S. Citizenship.
- In-depth understanding of protein structure bioinformatics and prediction methodologies.
- Experience with high-performance computing and related techniques for complex simulations.
Additional Information
This position offers a postdoctoral appointment with potential for extension, designed for candidates who have recently completed their PhD.
Why Choose Lawrence Livermore National Laboratory?
- Recognized as one of the Best Places to Work by Glassdoor.
- Comprehensive benefits package.
- 401(k) retirement plan.
- Relocation assistance available.
- Education reimbursement program.
- Flexible work schedules based on project needs.
- Commitment to inclusion, diversity, equity, and accountability.
