ML Bioengineer — Hybrid/Remote Research Leader

Lawrence Livermore National Laboratory; Livermore (CA); Hybrid; USD 146,340 - 222,564; Full time

Benefits offered by this job

Flexible work schedule

Research opportunities

Collaborative environment

Job summary

A national research laboratory in California is seeking a Machine Learning Bioengineer to conduct research on next-generation clinical models. The role involves collaboration with multidisciplinary teams, contributing to the design and evaluation of machine learning methods. Ideal candidates should have a Master's in Machine Learning or a related field, and experience in deep learning using tools like PyTorch or TensorFlow. This position offers a hybrid schedule allowing some remote work.

Qualifications

• Ability to secure and maintain a U.S. DOE Q-level security clearance.
• Master’s degree or equivalent experience in related field.
• Experience with developing and implementing deep learning models.

Responsibilities

• Collaborate with scientists to develop computational frameworks.
• Analyze data and document research in publications.
• Interact with technical contacts at partner organizations.

Skills

Machine Learning

Deep Learning

Computational Biology

Protein Modeling

Education

Master’s degree in relevant field

Tools

PyTorch

TensorFlow

Job description

A national research laboratory in California is seeking a Machine Learning Bioengineer to conduct research on next-generation clinical models. The role involves collaboration with multidisciplinary teams, contributing to the design and evaluation of machine learning methods. Ideal candidates should have a Master's in Machine Learning or a related field, and experience in deep learning using tools like PyTorch or TensorFlow. This position offers a hybrid schedule allowing some remote work.