Empleos en Latinoamérica

Applied Computational Nutrition Scientist

, Nicaragua · Remoto

Publicado ayer

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Descripción del puesto

At WISEcode, we're a well-funded, dynamic startup. WISEcode makes personalized nutrition a reality based on the facts – what truly is in our food — and marries this data with your preferences. Powered by AI and the world’s best food and nutrition database, WISEcode embraces the fact that we are all different, have different dietary needs, objectives, and preferences, and should not be at the mercy of market spin or “expert” opinion. Every one of us should have the information we need to make the best decisions for ourselves. 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." The Applied Computational Nutrition Scientist role represents a fundamental shift in food science: moving away from linear hand-offs between scientists and engineers toward an interactive, rapid modeling loop. The role reports directly to the VP of Science. What You’ll Do 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. What We’re Looking For 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. Mindset: A natural explorer who enjoys identifying edge cases and refining scientific assumptions through rapid iteration. Successful Profile Model Builder: You thrive on exploring structures and shaping system behavior rather than just following predefined instructions. From Lab to Field: You take complex concepts out of the lab and into the field, ensuring rigorous nutritional math translates into functional utility. The Translator: You have a product-centric mindset, intuitively seeing how a scoring system impacts a B2B dashboard or consumer app. Operational Excellence: You maintain the highest standard