Scientist, Computational Vaccine Design

Apriori Bio

Cambridge, United States
Base: $115,000 - $165,000; bonus/equity: annual in...
On-site
Computational methods
Machine learning
Structural modeling
Apriori Bio is seeking a Scientist specializing in Computational Vaccine Design to utilize AI/ML approaches for vaccine development. The ideal candidate will have a Ph.D. in a relevant field and experience in protein engineering and immunological datasets

Job Summary

  • We are seeking a Scientist to join a dynamic team applying computational and data-driven approaches to design novel antigens and evaluate vaccine responses.
  • The successful candidate will contribute to the development and application of computational methods—including structural modeling, machine learning, and statistical inference— that build on Octavia™ insights to support the company’s vaccine design efforts.
  • This role is ideal for scientists eager for a unique opportunity to learn and innovate within an interdisciplinary, fast-paced startup environment.

Matching Summary

Match Score: 85

Apriori Bio is seeking a Scientist specializing in Computational Vaccine Design to utilize AI/ML approaches for vaccine development. The ideal candidate will have a Ph.D. in a relevant field and experience in protein engineering and immunological datasets.

Salary

Base: $115,000 - $165,000; Bonus/Equity: annual incentive program; Benefits: healthcare coverage, retirement benefits, broad range of other benefits

Skills & Requirements

Must-have

  • computational methods
  • machine learning
  • structural modeling
  • Python programming
  • NGS data analysis
  • protein engineering

Nice-to-have

  • interdisciplinary team collaboration
  • fast-paced startup environment
  • resilience and creativity
  • deep learning approaches
  • laboratory experience

Key Requirements

  • Ph.D. in bioengineering, immunology, computational biology, or related field
  • Experience with data-driven protein engineering
  • Experience or training in antigen design
  • Solid statistical and quantitative foundation
  • Strong scientific programming skills (Python preferred)
  • Experience with high-throughput biological data or NGS-based assays
  • Experience using version control and collaborative coding workflows

Work Rights

Not specified

Tailored Resume

Cover Letter