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Computational Bioengineering Specialist
2 months ago
Company Overview
At Lawrence Livermore National Laboratory (LLNL), we are dedicated to making a significant impact on global security through innovative research and development. Our team comprises some of the brightest minds in the field, working collaboratively to address complex challenges and enhance the well-being of society.
We pride ourselves on fostering a diverse and inclusive workplace that values the unique perspectives and experiences of our employees. This commitment is essential for the continued success of our mission.
Compensation Range:
$112,800 - $124,596
Please note that this range serves as a general guideline, with various factors influencing starting salaries, including education, experience, and market conditions.
Position Overview
We are seeking multiple Postdoctoral Researchers to become integral members of our interdisciplinary team focused on Computational Bioengineering. The selected candidates will engage in pioneering research aimed at developing a cutting-edge, machine learning-based computational framework for protein design and enhancing protein-protein interactions within the Center for Predictive Bioresilience (CPB).
This role involves collaboration with a diverse team of experts in machine learning, molecular simulation, optimization, and protein structure bioinformatics. You will work closely with experimental teams to generate extensive datasets through innovative high-throughput assays, which will inform the development of predictive models.
Key Responsibilities
- Collaborate with project scientists and engineers to evaluate and implement computational frameworks tailored for protein design tasks.
- Contribute to the formulation of analytical methodologies; analyze research data; and document findings through presentations and peer-reviewed publications.
- Support the development of new capabilities and engage in technical problem-solving.
- Ensure quality standards for project deliverables and document methodologies.
- Publish research outcomes in scientific journals and present findings at conferences and seminars.
- 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.
- Solid understanding and/or experience in developing algorithms in areas such as protein structure machine learning, deep learning, and active learning.
- Proficiency in creating and implementing deep learning models using contemporary software libraries like PyTorch or TensorFlow, demonstrated through publications or software projects.
- Experience with protein structures and a solid foundation in bioinformatics and protein structure modeling to facilitate effective communication with team members.
- Ability to work collaboratively within a multidisciplinary team of scientists, engineers, and project managers.
- Strong verbal and written communication skills for effective collaboration and presentation of technical information.
- 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 knowledge of protein structure bioinformatics and prediction techniques.
- Experience with high-performance computing, GPU programming, and cloud computing.
Additional Information
This position is a Postdoctoral appointment with the potential for extension up to three years, available to candidates who have obtained their PhD at the time of hire.
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.
- Education Reimbursement Program.
- Flexible Work Schedules (subject to project needs).
- Commitment to Inclusion, Diversity, Equity, and Accountability.
Security Clearance Requirements
This position may require a Department of Energy (DOE) L-level or Q-level security clearance, depending on specific assignments.
Pre-Employment Drug Testing
Selected external applicants must successfully complete a pre-employment drug test, which includes testing for marijuana, in accordance with Federal Law.
Reasonable Accommodation
We strive to create an accessible and inclusive experience for all candidates during the application and interview process. If you require reasonable accommodation, please submit a request through our online form.
