Analyze JMDC and Omron Group data to develop new data-driven services, build predictive models, advise industry clients, improve services with machine learning, and publish findings.
About this role
The role develops the backend of Pep Up for WORK, a corporate health-management service, and the cotree counseling platform. Responsibilities include developing new features, improving existing functionality, assuring code quality, designing architecture, making optimization decisions at higher layers, and designing and building more secure and reliable systems for enterprise requirements.
The position supports the expansion of a healthcare platform based on a large medical database. The services connect a consumer personal health record service with business-to-business health-promotion SaaS products and use medical data, including health-check results, medical expense information, and wearable data. The work may involve planning and development using health prediction models.
Applicants must have at least three years of web backend development experience using Ruby, Python, PHP, or similar technologies, and at least three years of relational database table-design experience. Experience defining API schemas with OpenAPI or GraphQL and the ability to design and develop with performance and scalability in mind are required. The role also requires the ability to carry out development in coordination with stakeholders. Applicants are asked to share a GitHub account when applying.
Preferred experience includes healthcare or medical work, web frontend development with TypeScript and React.js, development using AWS or GCP, external integrations using OAuth2 or OIDC, CI/CD construction, end-to-end testing and automation, quantitative and qualitative analysis infrastructure using logs, speaking at technical events, and contributing to open-source software.
The stated development environment uses Ruby on Rails, TypeScript, React, GraphQL, AWS, Terraform, Datadog, Sentry, GitHub, Slack, JIRA, and Confluence.
The position is expected to be based initially at the Tokyo office in Minato-ku, Tokyo. The company states a flextime system with core hours from 11:00 to 15:00, standard working hours of eight hours per day, and a 60-minute break. A MacBook Pro and 27-inch 4K display are provided. Other stated provisions include support for technical-book purchases, support for participation fees for engineering events, social insurance, commuting allowance up to 150,000 yen per month, a corporate defined-contribution pension, leave programs, an employee stock ownership plan, and other health and welfare programs.
This is an AI-generated summary of the employer's original posting — details can be incomplete, out of date or simply wrong. Always confirm everything on the official posting before applying.
Similar jobs
Conduct data science R&D for healthcare services, analyze medical and health data, build predictive models, support client consulting, and improve services through machine learning. The role uses Python and SQL.
Design and build data pipelines, cloud infrastructure, MLOps capabilities, and backend APIs for new healthcare data products using large-scale medical data. The role covers architecture, deployment, monitoring, and continuous improvement.
Manages hardware assets, data-center and server-room operations, facility risks, vendor performance, purchasing coordination, inventories, and compliance across Japan.
Manages an Enterprise Solutions Engineering team in Tokyo, supporting enterprise solution engineering activities for Box customers and stakeholders.
Develop real-time vehicle control solutions using control theory, optimization, and machine learning.