Develop and improve Android apps for health and nutrition services. Analyze user behavior, define features, improve app experiences, review code, test releases, and maintain mobile CI/CD.
About this role
This research and development internship analyzes real-world food, health, and lifestyle data to investigate how eating patterns affect health. The work includes forming hypotheses from user data and testing them through practical analysis.
Example projects include designing and evaluating recommendation systems using ingredients, recipes, menus, and nutrition information; analyzing and visualizing clinical research data conducted with university hospitals; and preparing reports for business projects based on food trends and behavioral logs.
The role uses operational logs stored in BigQuery, with Python and SQL for aggregation, analysis, preprocessing, and data extraction. Depending on interest, the intern may also work on Python implementation and visualization. Notion and Google Slides are used for team sharing and reporting.
Required experience includes using Python for preprocessing or aggregation and using SQL to extract data. Knowledge of web services built with Ruby on Rails, interest in machine learning or visualization tools, interest in food or healthcare, and interest in academic papers or research are welcomed.
The work is connected to a food-management application for general users, the Kakaris dietary guidance system for medical institutions, clinical research with university hospitals, and joint projects with pharmaceutical, food, and insurance companies. The available data includes user records such as weight, sleep, meals, and other lifestyle logs, more than 10,000 recipes, and over 2 million menu records.
The research and development team consists of three full-time members and three student part-time members. Its areas of expertise include machine learning, statistical analysis, visualization, and recommendation systems. Analysis themes range from academic research to service development and business projects. The listed work location is Tokyo, and online interviews are available.
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