As we scale adoption of our product domestically and internationally, we will accelerate world-class clinical research and unlock innovation. By joining our data team, you will support the growth of an empathetic, data-driven culture at and play a key role in developing a novel data architecture and intelligence features.



Your Responsibilities

• Work with data team to support continued development and international expansion of  next-generation, Kappa-style data architecture in a functional programming environment using Kafka, PostgreSQL, AWS and Confluent tooling


• Support the development and scaling of data ingestion, integration, and export services built on top of Kafka and AWS


• Work closely with data and engineering teams to design, develop, iterate, and expand data tools, models, libraries, or features


• Support orchestration and troubleshooting of our data architecture and tooling


• Become intimately familiar with HIPAA, GDPR, and other applicable regulatory/security frameworks and how they influence our architecture and development decisions


• Frequently communicate your results to Head of Data and other stakeholders in clear written, verbal, or presentation form


• Live our data philosophy, which focuses on ethical decision making, being aware of how biased data (and assumptions) can affect results (and people), and being laser-focused on business needs
  
   

• At least 3 years of professional work experience


• Experience with systems engineering/orchestration and strong ability to understand and work with distributed systems


• Previous practical experience with AWS, Kafka, and distributed systems


• Experience with applied cryptography in a healthcare setting


• Deep Clojure experience in a data application context


• Experience with security and regulatory challenges of scaling health data architecture to multiple continents


• Understanding the nuances of testing in distributed/probabilistic systems


• Master's degree or doctorate in related field


• Relevant published work (academic, blog posts, open-source contributions)


• Experience in a startup environment (as a remote employee, if you’d like to work remotely)


• Relevant experience in a healthcare/health-tech company