The PREP Research Associate position involves collaborative scientific research in machine learning applied to neutron reflectometry for studying antimicrobial peptides (AMPs) and membrane interactions.
Responsibilities include designing AI models to predict and generate AMP properties, developing data structures, validating models, and guiding experimental measurements.
Requires a Ph.D. in computer science, bioinformatics, or related fields with 5+ years of experience in machine learning, NLP, graph neural networks, and bioinformatics tools such as PyTorch, TensorFlow, and RDkit.
The role emphasizes communication skills and U.S. citizenship is preferred.
Salary ranges from $62,000 to $84,000, with a focus on advancing biomolecular research through AI-driven approaches in neutron scattering experiments.