Use Python and SQL to analyze real-world food, health, and lifestyle data, contributing to recommendation systems, clinical research, visualizations, and business reports in a Tokyo R&D internship.
About this role
This research and development internship focuses on analyzing real-world data related to food, health, and daily behavior. The intern will form hypotheses from stored user data, carry out analyses, and consider whether the findings can support changes in people’s behavior.
Potential projects include designing and evaluating recommendation systems using ingredients, recipes, menus, and nutritional information; analyzing and visualizing clinical research data conducted with university hospitals and other medical institutions; and preparing business reports from analyses of eating patterns and behavioral logs. The work may support consumer meal-management services, medical-institution systems, academic research, and collaborative projects with pharmaceutical, food, and insurance companies.
The available data includes operational logs stored in BigQuery, as well as records of weight, sleep, meals, and other health-related activity from tens of thousands of users. The data set also includes more than 10,000 recipes and over 2 million menu records.
Required experience includes using Python for preprocessing or aggregation and using SQL to extract data. The posting welcomes knowledge of web services built with technologies such as Ruby on Rails, an interest in machine learning or visualization tools, and interest in food, healthcare, academic papers, or research. Depending on preference, the intern may also work on Python implementation and visualization.
The research and development team consists of two full-time members and five student part-time members. Its areas of expertise include machine learning, statistical analysis, visualization, and recommendation systems. Team members communicate and share reviews through Slack and Notion. The role is an internship based in Tokyo, and online interviews are available. No salary, working hours, internship duration, or language requirement is stated.
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