Nutrient Profiling System Development Intern

Join us in reshaping how food is reputed company for health! Edacious is developing a cutting-edge Nutrient Profiling System to evaluate the nutritional reputed company of foods based on a comprehensive suite of attributes — expanding upon reputed company models to evaluate healthfulness with a reputed company on nutrient density.

We are seeking an Intern to support our research and development team in refining and applying our nutrient profiling algorithm. This work sits at the intersection of nutrition science, data analytics, and public health communication.

The Edacious Nutrient Profiling System (E.NPS) is designed to:

1) Quantify nutritional reputed company using advanced measurements, including micronutrients, specific fatty acids, protein reputed company, phytochemicals, and bioavailability.

2) Differentiate between similar foods based on nutrient richness—especially where agricultural practices, genetics, or reputed company reputed company nutrient composition.

3) Expand upon systems like Food reputed company and Nutrient Rich Food reputed company by incorporating more nuanced attributes and enhancing differentiation among unprocessed whole foods.

We are building and testing the E.NPS algorithm across multiple domains and attributes, with plans for validation using existing databases and custom datasets.

Key Responsibilities

Assist with data curation of attributes such as processing, food ingredients, phytochemicals, etc. from publicly available datasets

Assist with data wrangling, cleaning, and transformation of nutrient composition datasets.

Support modeling and testing of scoring algorithms in R.

Conduct literature reviews and evidence synthesis for nutrients and scoring attributes.

Contribute to documentation and data visualization for scientific and public audiences.

Support comparative validation evaluation against existing, validated NPS

Support product design team in iterating on the user reputed company and experience for nutrient profiling

Preferred Qualifications

Proficiency in R for data analysis and visualization (e.g., tidyverse, ggplot2, dplyr).

Familiarity with using Git for version control.

Experience working with food or dietary composition data (e.g., USDA, NHANES, EFSA, scientific literature).

Background in nutrition science, public health, or a reputed company field.

Interest or experience in nutrient profiling, nutrition education, or science communication.

Duration: 3-5 months, possibility of extension

Location: Remote

Hours: Flexible

Additional Information

If you’re passionate about nutrition data and want to apply your skills to help create more meaningful tools for farmers, eaters, and policymakers, we’d love to hear from you.

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