AI-Driven Computational Biology Intern

Los Alamos National Laboratory; Los Alamos (NM); On-site; USD 42,000 - 54,000; Full time

Benefits offered by this job

Medical insurance

Dental & vision insurance

Life insurance

Parental leave

401(k) matching

Tuition assistance

PTO & holidays

Onsite gym

Job summary

Los Alamos National Laboratory's Physics and Chemistry of Materials Group (T-1) in the Theoretical Division seeks a post-bachelor student to contribute to research in computational biology and AI-enabled medical countermeasure development. The selected candidate will support modeling toxin-protein interactions by integrating sequence, structure, and experimental data to improve binding-site predictions.

Responsibilities include curating datasets, applying AI/ML and structure-prediction tools,

Qualifications

• A bachelor's degree, or expected degree, in biology, biochemistry, bioinformatics, computational biology, data science, computer science, physics, engineering, or related field.
• Knowledge of computational biology, biochemistry, bioinformatics, or related areas.
• Understanding of protein structure, function, or molecular interactions.
• Experience with scientific programming, preferably Python.
• Familiarity with AI/ML workflows for biological applications.
• Ability to work effectively in a multidisciplinary research team.

Responsibilities

• Curate, process, and analyze protein sequence and structural datasets.
• Apply AI/ML, protein language models, and structure-prediction methods to study molecular interactions.
• Develop reproducible end-to-end workflows that integrate sequence- and structure-based predictions.
• Evaluate model performance and compare predictions with structural and experimental evidence.
• Collaborate with computational and experimental researchers.
• Document methods and communicate results via reports and presentations.

Skills

Computational biology

Bioinformatics

Python programming

AI/ML workflows

Education

Bachelor's degree in biology/biochemistry/bioinformatics/computational biology/data science/CS/physics/engineering

Tools

Python

Git

Linux

HPC workflows

Job description

Los Alamos National Laboratory's Physics and Chemistry of Materials Group (T-1) in the Theoretical Division seeks a post-bachelor student to contribute to research in computational biology and AI-enabled medical countermeasure development. The selected candidate will support modeling toxin-protein interactions by integrating sequence, structure, and experimental data to improve binding-site predictions.

Responsibilities include curating datasets, applying AI/ML and structure-prediction tools,