Applied Computational Nutrition Scientist
WFA Digital Insight
The demand for data-driven nutrition experts is on the rise, with the global health and wellness market projected to reach $5.5 trillion by 2025. As a remote Applied Computational Nutrition Scientist at WISEcode, you'll be at the forefront of personalized nutrition, leveraging AI and machine learning to revolutionize the way we understand food. With a strong foundation in nutrition science and experience in computational modeling, you'll thrive in this dynamic startup environment. Before applying, consider how your skills in Excel, data analysis, and scientific modeling can help drive WISEcode's mission to make nutrition more accessible and personalized.
Job Description
About the Role
The Applied Computational Nutrition Scientist role at WISEcode represents a fundamental shift in food science, moving away from traditional methods towards an interactive, rapid modeling loop. As a key member of the team, you will design, build, and iterate nutrition codes within WISEcode's AI-based platform, managing the full interactive modeling loop. Your work will have a direct impact on the development of personalized nutrition plans, making a real difference in people's lives.WISEcode is a well-funded, dynamic startup that has created the world's most comprehensive food data platform. The company's mission is to make personalized nutrition a reality, fueled by the world's best food and nutrition database and powered by AI. The Applied Computational Nutrition Scientist will play a critical role in achieving this mission, working closely with the VP of Science and other team members to drive innovation and growth.
The role is based in the United States and offers a unique opportunity to work remotely with a talented team of professionals who are passionate about changing the way we think about food and nutrition.
What You Will Do
- Design, build, and iterate nutrition codes within WISEcode's AI-based platform
- Manage the full interactive modeling loop: hypothesis, build, evaluate, refine
- Transition raw food data into structured, interpretable intelligence by exploring model structures, identifying edge cases, and refining scoring assumptions
- Own the integrity of the Code Library as a strategic asset, ensuring every model is architected for cross-product consistency
- Test model variations and interpret AI-generated structures to improve accuracy and real-world relevance
- Lead collaborative code-building sessions with external partners, guiding them through the creation of shared modeling frameworks
- Partner with the Product team to ensure that the scientific logic of the Intelligence Layer is documented for simplified, high-impact consumer narratives
- Develop and maintain documentation of the Code Library, including data sources, model assumptions, and validation methods
- Stay up-to-date with the latest research and developments in nutrition science, AI, and machine learning, applying this knowledge to improve the platform
What We Are Looking For
- BS or MS in Nutrition, Food Science, or a related field with deep ingredient and food processing knowledge
- 2-3 years of experience in a technical, analytical, or data-driven role
- Strong comfort with math, structured logic, and quantitative decision rules (thresholds, scoring systems, rule-based logic)
- Ability to work within a proprietary computational system, interpreting outputs and refining system behavior
- Proven experience supporting or coordinating projects: staying organized, tracking details, and delivering on time in a team setting
- Strong organization and facilitation skills used to support team projects and help others succeed
- Collaborative, proactive, and highly reliable communicator with excellent written and verbal skills
- Natural explorer who enjoys identifying edge cases and refining scientific assumptions through rapid iteration
Nice to Have
- Experience with Excel and data analysis tools
- Knowledge of programming languages such as Python or R
- Familiarity with machine learning algorithms and AI-powered systems
- Certification in nutrition or a related field
Benefits and Perks
- Competitive salary and benefits package
- Opportunity to work remotely with a talented team of professionals
- Access to the latest tools and technologies in nutrition science and AI
- Professional development and growth opportunities
- Flexible working hours and a healthy work-life balance
- Collaborative and dynamic work environment
- Recognition and reward for outstanding performance
How to Stand Out
- To stand out as an Applied Computational Nutrition Scientist, highlight your experience with data analysis tools like Excel and programming languages like Python or R.
- Develop a strong understanding of machine learning algorithms and AI-powered systems to drive innovation in personalized nutrition.
- Showcase your ability to communicate complex scientific concepts to non-technical stakeholders, such as product teams or external partners.
- Prepare to discuss your experience with collaborative code-building and model development, as well as your ability to work in a fast-paced, dynamic environment.
- Be ready to provide examples of your work in data-driven nutrition science, including any relevant research or projects you've led or contributed to.
- Consider creating a portfolio that demonstrates your skills in computational modeling, data analysis, and scientific writing to share with the hiring team.
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