AI/ML Engineer – Vaccine Research

Hybrid (Pearl River, NY area)

We’re partnering with a global biotech organization at the forefront of AI-driven vaccine innovation to build out a high-impact team operating at the intersection of machine learning, immunology, and translational science.

This role sits within a cutting-edge vaccines R&D group applying advanced AI methods to accelerate how vaccines are discovered, designed, and brought to patients. You’ll work closely with scientists, immunologists, and clinical teams to turn complex biological data into meaningful, real-world impact.

What you’ll do

Build and deploy machine learning models that directly inform vaccine discovery, antigen design, and clinical strategy
Work across the full lifecycle - from data integration and model development through to real-world application and decision-making
Apply modern AI approaches (including generative AI and foundation models) to protein engineering and vaccine optimization
Integrate large-scale, high-dimensional datasets (e.g., omics, immunological, and clinical data) to uncover biological insights
Partner cross-functionally to translate technical outputs into clear, actionable insights for scientific and leadership teams
Contribute to publications and stay at the forefront of AI + life sciences innovation

Requirements

PhD (or MS + industry experience) in a relevant field (ML, computational biology, AI, etc.)
Strong hands-on experience building and applying machine learning models (not just theoretical exposure)
Experience working with complex biological or biomedical datasets
Background in one (or more) of the following:
Protein engineering / antigen design
Systems immunology / immune response modeling
Translational modeling across preclinical → clinical
Proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow)
Ability to clearly communicate technical concepts to non-technical stakeholders

Why this role

Direct impact on next-generation vaccine development
Work at a unique intersection of AI + immunology + real-world translational science
Strong emphasis on scientific publication and visibility
Opportunity to help shape how AI is applied across a broader R&D organization over time

If you're interested in learning more, please send a resume to s.viall@kennedybond.com

Kennedy Bond

Vacatures

AI/ML Engineer