Applied Computational Nutrition Scientist

About the Role

WISEcode is a food tech AI company building the world’s most comprehensive food data platform. We map 15,000 data points per product to power a scientific logic engine that determines how food is understood.

At the center of this system is the Code Library—a growing set of computational models that translate ingredients and nutrients into structured intelligence. As an Applied Computational Nutrition Scientist, you are a model builder. You will use our proprietary Code Builder to explore structures, refine assumptions, and shape the behavior of the system that serves as the "Bloomberg for Food."

Responsibilities

• Scientific Modeling: Design, build, and iterate nutrition codes within our AI-based platform. You will manage the full " interactive modeling loop" : Hypothesis →Build→ Evaluate→ Refine.
• Logic Architecture: Transition raw food data into structured, interpretable intelligence by exploring model structures, identifying edge cases, and refining scoring assumptions.
• Library Governance: Own the integrity of the Code Library as a strategic asset. Ensure every model is architected for cross-product consistency and serves as the "ground truth" for our AI systems.
• Iterative Experimentation: Test model variations and interpret AI-generated structures to improve accuracy and real-world relevance.
• Partner Ecosystems: Lead collaborative code-building sessions with external partners, guiding them through the creation of shared modeling frameworks.
• Product Translation: Partner with the Product team to ensure that the scientific logic of our "Intelligence Layer" is documented for simplified, high-impact consumer narratives.

Requirements

• Domain Expertise: BS or MS in Nutrition, Food Science, or a related field with deep ingredient and food processing knowledge.
• Technical Experience: 2–3 years of experience in a technical, analytical, or data-driven role.
• Computational Modeling: Strong comfort with math, structured logic, and quantitative decision rules (thresholds, scoring systems, rule-based logic).
• Platform Fluency: Ability to work within a proprietary computational system, interpreting outputs and refining system behavior.
• Project Coordination: Proven experience supporting or coordinating projects: staying organized, tracking details, and delivering on time in a team setting.
• Facilitation & Communication: Strong organization and facilitation skills used to support team projects and help others succeed. You are a collaborative, proactive, and highly reliable communicator.