About the GUIDE team

Led by CPE-CBRND, GUIDE (Generative Unconstrained Intelligent Drug Engineering) is developing an integrated computational and laboratory capability to accelerate the drug development cycle. Our multidisciplinary program requires a wide range of skill sets, including computing and simulation, machine learning, structural bioinformatics, and multi-objective optimization.

LLNL Guide Team
The Lawrence Livermore National Laboratory GUIDE team.
Sandia Guide team
The Sandia National Laboratory GUIDE team.
LANL Guide Team
The Los Alamos National Laboratory GUIDE team.

GUIDE career opportunities

GUIDE offers career opportunities for researchers interested in helping us to develop a next-generation computational antibody and antigen design platform driven by simulation and machine learning models. Learn more about open positions at Lawrence Livermore National Laboratory and why it repeatedly ranks among Glassdoor’s Best Places to Work.

Computational Protein Optimization Lead Scientist Computational Protein Design Scientist

Join the GUIDE team

From immunology to machine learning and systems biology to molecular dynamics simulation, GUIDE is a multidisciplinary effort. Discover open positions at Lawrence Livermore National Laboratory.