Computational Bioengineer
2 weeks ago
We are seeking a highly skilled Computational Protein Design professional to join our team at Lawrence Livermore National Laboratory. As a key member of our interdisciplinary team, you will contribute to the development of next-generation, machine learning-driven computational pipelines for protein design and optimization.
Job SummaryThis is a postdoctoral appointment with the possibility of extension to a maximum of three years. We are looking for a talented individual with a strong background in machine learning, computational biology, or a related field. The successful candidate will have experience developing and applying algorithms in machine learning areas such as protein structure machine learning, deep learning, and unsupervised feature learning.
Responsibilities- Develop and implement deep learning models and algorithms using modern software libraries such as PyTorch, TensorFlow, or similar.
- Work closely with project scientists and engineers to evaluate and implement computational frameworks optimized for protein design tasks.
- Contribute to the development of analysis methodologies and analyze data to document research through presentations and peer-reviewed journal articles.
- Support technical activities for new capability development and technical problem solving.
- Publish research results in peer-reviewed scientific journals and present results at conferences, seminars, and meetings.
- PhD in Machine Learning, Computational Biology, Statistics, Computer Science, Mathematics, or a related field.
- Fundamental knowledge and/or experience developing and applying algorithms in machine learning areas such as protein structure machine learning, deep learning, and unsupervised feature learning.
- Experience working with protein structures and domain knowledge in bioinformatics and protein structure modeling sufficient to communicate effectively with team members.
- Ability to travel.
- Included in 2024 Best Places to Work by Glassdoor.
- Flexible Benefits Package.
- 401(k).
- Relocation Assistance.
- Education Reimbursement Program.
- Flexible schedules (depending on project needs).
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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