Software Engineer

About Quantum Life

Quantum Life is a pioneering technology spin-off from the Hong Kong Quantum AI Lab (one of the HKU's InnoHK centres). We specialize in building a ​longevity medicine platform powered by ​advanced AI and ​multi-omics data analysis, integrating genomics, proteomics, and epigenetics to redefine precision healthcare. Our core services include personalized aging and health assessments, risk assessment and prediction of age-related diseases through Al-driven multi-omics analysis, and innovative prevention and intervention measures.

The Role

As a Software Engineer, you’ll architect and implement the core automation pipeline for our AI SaaS platform "Longevity.Omics," translating complex AI-derived omics analytics into clinically actionable PDF reports. You’ll also collaborate cross-functionally to accelerate the development of our end-to-end SaaS platform—spanning front-end, back-end, databases, and AI deployment—to revolutionize data-driven longevity healthcare.

Key Responsibilities:

-Automated Reporting Pipeline​​: Design, build, and maintain a scalable pipeline for dynamic clinical PDF report generation using structured omics data (genetic/epigenetic) and templated designs.

- Template Integration​​: Implement responsive report templates matching clinical standards, ensuring seamless integration with Python-based analytics outputs.

- Platform Development​​: Enhance full-stack features (UI, APIs, databases) for data ingestion, user management, and visualization alongside the product team.

- AI Deployment Support​​: Collaborate on deploying AI models and optimizing bioinformatics workflows (Python/R) into production systems.

- Quality & Compliance​​: Ensure robust testing, security, and regulatory alignment for medical report outputs.

Qualifications:

Education:​​ Bachelor’s/Master’s degree in ​​Computer Science​​, ​​Software Engineering​​, Bioinformatics, or a ​​related quantitative/computational field​​.

Programming & Backend:​​ Strong proficiency in ​​Python​​ for backend development and data processing.

Platform Development:​​ Experience with ​​modern web technologies​​ (JavaScript/HTML/CSS, REST APIs, SQL databases) and collaborative software development practices.

Core Technical Skill:​​ Proven experience in ​​building automated PDF reports​​ (using tools like WeasyPrint, ReportLab, or similar) ​​from structured data inputs​​.

Domain Awareness:​​ Familiarity with or strong willingness to learn ​​clinical/medical data formats​​ and biological data concepts (genomics, epigenetics).