Scientist, Computational Vaccine Design

Responsibilities

• Use high-dimensional datasets, such as mutational scanning and NGS-based phenotypic screens, to support antigen and immunogen engineering
• Apply and refine computational models that integrate screening data with structural and sequence-based features
• Generate hypotheses and design analyses to inform the evaluation of novel immunization strategies in partnership with experimental teams
• Develop reproducible computational tools and pipelines for data-driven product design
• Collaborate with engineers, computational scientists, and experimentalists to integrate computational findings into broader platform workflows
• Identify, evaluate, and curate external datasets relevant to vaccine design and antigen optimization
• Communicate results and insights clearly to cross-functional scientific teams

Requirements

• Ph.D. in bioengineering, immunology, computational biology, or a related field
• Experience applying data-driven protein engineering methods to predict and affect protein function
• Experience or training in antigen design leveraging vaccine immune response readouts
• Strong scientific programming skills, specifically in Python
• Experience working with high-throughput biological data or NGS-based assays
• Proficiency with version control and collaborative coding workflows
• Solid statistical and quantitative foundation for translating complex biological datasets into actionable insights

Preferred Qualifications

• Direct experience in vaccine design
• Experience with deep learning approaches
• Exposure to antibody characterization, immune profiling, or immune repertoire analyses
• Experience with NGS data pipelines, from processing to interpretation
• Familiarity with cloud or distributed computing environments
• Experience with the storage, analysis, and transformation of large tabular datasets and relational databases
• Laboratory experience in molecular biology, biochemistry, or immunology

About the Company

Apriori Bio is a biotechnology company utilizing its biology-enabled AI/ML platform, Octavia™, to map viral fitness landscapes, predict immune escape trajectories, and design vaccines that elicit optimal protective responses to future challenges.