Postdoc: Agentic AI for Immunology & ML

Los Alamos National Laboratory; Los Alamos (NM); On-site; USD 89,550 - 109,450; Full time

Benefits offered by this job

Medical insurance (PPO or HDHP)

Dental and vision insurance

Onsite gym and wellness programs

Tuition assistance

401(k) matching

Relocation package

Flexible schedules

Job summary

Los Alamos National Laboratory seeks a postdoctoral researcher to join the Theoretical Biology and Biophysics Group, focusing on computational biophysics at the immunology/biophysics interface. The role involves developing agentic AI workflows to interpret complex data and predict immune responses.

The candidate will build predictive ML models for protein interactions and antigen discovery, contributing to multi-disciplinary projects and collaboration with experimentalists.

Qualifications

• Minimum requirements include strong knowledge of immunology and experience with LLM APIs and agentic AI frameworks such as LangChain.
• Proficiency in Python, PyTorch, or TensorFlow and experience developing predictive and multimodal ML models.
• Ability to address uncertainty in limited, noisy, or high-dimensional biological data and to scale models in cloud or HPC environments.

Responsibilities

• Join research efforts at the interface of Immunology, Computer Science and Biophysics within LANL.
• Develop LLM-based agentic workflows to interpret complex biological data and predict immune responses to vaccines and therapeutics.
• Build ML models for protein-protein and protein-small-molecule interactions, antigen discovery, and immune-response modeling.

Skills

Immunology

LLM APIs

Python

PyTorch

TensorFlow

Predictive modeling

Uncertainty handling

Cloud/HPC

Antigen discovery

Protein interactions

Immune-response modeling

Education

PhD in related field

Job description

Los Alamos National Laboratory seeks a postdoctoral researcher to join the Theoretical Biology and Biophysics Group, focusing on computational biophysics at the immunology/biophysics interface. The role involves developing agentic AI workflows to interpret complex data and predict immune responses.

The candidate will build predictive ML models for protein interactions and antigen discovery, contributing to multi-disciplinary projects and collaboration with experimentalists.