About the job
About myTomorrows
At myTomorrows, we are committed to transforming the healthcare landscape by ensuring that patients can access the treatments they need without barriers. Our mission is to facilitate earlier and improved access to therapies by connecting patients with the innovative companies that develop them. We collaborate with a diverse range of stakeholders, including patients, healthcare professionals, trial sites, advocacy groups, and BioPharma companies, to enhance the drug development ecosystem.
Our advanced AI-driven technology platform simplifies the process of accessing drugs currently in development. We offer specialized services that include clinical trial patient recruitment, management of Expanded Access Programs, and Real-World Data collection, all supported by our teams of industry experts.
With a presence in 134 countries, we have successfully assisted over 17,000 patients, 3,000 physicians, and 350 trial sites, building trust with more than 60 BioPharma partners. In October 2025, we secured a €25M investment from Avego Healthcare Capital, propelling our ambitions to scale operations globally.
Join us in our endeavor to redefine treatment access, making tomorrow's therapies available to those who require them today.
The Opportunity
As a Data Engineer at myTomorrows, you will be instrumental in designing the data infrastructure that underpins our product platform and facilitates data-driven decision-making across the organization. You will collaborate closely with Data Analysts, the DevOps team, and colleagues in Product and Engineering to construct a robust and scalable data environment that ensures reliable data flow, storage, and visualization.
Your Key Responsibilities Include:
Collaborating with the Engineering and Product teams and working closely with Marketing and Growth to create reliable reporting pipelines.
Designing, building, and maintaining robust data and reporting pipelines that provide actionable insights to stakeholders.
Developing and enhancing scalable, reliable data architectures for analytics and reporting purposes.
Partnering with business analysts and stakeholders to understand reporting requirements and translate them into effective data solutions.
Ensuring compliance with industry standards and best practices for healthcare data management and quality.
Continuously improving data reliability, observability, and documentation.
