AI Vaccine Formulation Optimization Engineer

Axion Labs

Remote · $160k – $200k / year · Full-time · Posted 3 months ago

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About the role

We serve pharmaceutical R&D teams racing to cut years off vaccine development timelines. Our platform models antigen stability and adjuvant interactions before a single vial reaches the lab bench. In this role you'll design predictive models that rank candidate formulations by stability, immunogenicity potential, and manufacturability, working directly with wet-lab scientists to validate every prediction against real assay data. We publish internally and encourage conference submissions — expect to read papers, replicate findings, and push several of your own experiments into production models that guide which formulations move forward.

Fully remote.

Responsibilities

Build predictive models ranking candidate vaccine formulations by stability and immunogenicity
Partner with wet-lab scientists to validate model predictions against assay results
Design feature pipelines from experimental and literature-derived data
Read and replicate relevant research papers, adapting findings into production models
Present findings in internal research reviews

Requirements

Strong background in applied machine learning, ideally in life sciences or chemistry
Experience with PyTorch and scikit-learn for predictive modeling
Comfortable working with noisy, small experimental datasets
Familiarity with statistical methods for uncertainty quantification