Location

London, UK (Hybrid)

About us

Raia Health is an early-stage startup using behavioural data to Personal Healthcare Agents through a responsible AI-first approach. We are a dedicated group of digital health researchers, machine learning scientists, and clinicians from premier institutions in research and industry: Harvard, Stanford, DeepMind, and Memorial Sloan Kettering Cancer Center.

About the role

We are searching for a talented Data Engineer (Full-Stack) to join our dedicated team. This role is designed for candidates with a solid background in building and managing data infrastructures that are secure and meet necessary compliance standards. We value candidates who possess the capability to translate our research ideas into efficient backend applications, work efficiently under tight deadlines, and have experience with working within a dynamic environment.

As an early-stage startup, our close-knit team thrives on robust communication and collaboration across different disciplines. Joining us means being a part of an adept group of ML researchers and engineers, where you’ll work closely with our Chief Scientist and regularly liaise with the broader team. As a team, our central goal is consistent alignment to our mission — delivering continuous supportive care to patients.

What you’ll do

Engineer and maintain our data infrastructure, ensuring safety and compliance. Specifically, you will:

• Evaluate and select the best infrastructure and frameworks tailored to our needs.
• Design, implement, and maintain APIs ensuring secure communication between various stack components.
• Ensure HIPPA-compliance, GDPR-compliance, and robust data security across all technology.
• Architect and manage data infrastructure if possessing deep experience in the field.
• Handle sensitive healthcare data responsibly and efficiently.
• Implement best practices for data anonymization, ensuring patient data remains confidential.
• Collaborate with the broader team while also being able to work independently on specific tasks.

Stay updated on the latest in full-stack and mobile development trends

• Regularly share insights and updates about emerging tools, frameworks, and best practices in the field.
• Engage in team discussions and collaborations to continuously refine our data strategy and approach.
• Attend the team’s favorite machine learning and clinical conferences.