January 10, 2022
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Remote, Remote
January 10, 2022
Apply NowJob description
About Us
Reify Health is changing the way medicines are developed by connecting and empowering the clinical trial ecosystem. We are a team of researchers, entrepreneurs, technologists, and healthcare-obsessed professionals building solutions that eliminate some of the biggest challenges in clinical research.
We care about the people who care for people...and we have fun while doing it.
Our unique, rapidly growing data streams are enabling unique opportunities to manage clinical trials more efficiently and predictably. The Data Engineering group is looking for talented Data Engineers to build, expand, and support the cutting-edge, globally distributed data architecture which is the analytical backbone of our company. If you are empathetic, business-driven, and want to use your data engineering and data architecture skills to make a tangible impact in the clinical research community then this may be the role for you.
As a fast-growing company, we're looking for people who can effectively balance rapid execution and delivery with sustainable and scalable architectural initiatives to serve the business most effectively. You have strong opinions, weakly held, and while well-versed technically know when to choose the right tool, for the right job, at the right level of complexity. You will work closely with our Data Analytics, Product, and Software Engineering groups to help collect, stream, transform, and effectively manage data for integration into critical reporting, data visualizations, and data products.
What You'll Be Working On
- Support the development and international expansion of our next-generation, privacy-aware, Kappa-style data architecture.
- Integrate additional data sources and real-time event streams from internal and third-party systems.
- Help transform and deliver data in a practical manner, including through a data warehouse.
- Develop APIs or interfaces to allow effective access to and management of data.
- Learn to effectively understand and deftly navigate the global compliance ecosystem (HIPAA, GDPR, etc.) to ensure your work respects the rights, regulations, and consent preferences of all stakeholders.
- Develop a deep understanding of the clinical ecosystem, our products, and our business and how they all uniquely interact to help people.
What You Bring To Reify Health
- 4+ years of experience successfully developing and deploying data pipelines and distributed architectures, ideally in a space similar to ours (startup, healthcare, regulated data).
- Deep practical experience with AWS, streaming data technologies like Kafka, containerization, and containerized applications.
- Experience or interest in developing and managing enterprise-scale data warehouse (OLAP), data marts, and multidimensional data models.
- Excellent programming skills in Clojure or Python and deep comfort with SQL.
- Solid software testing, documentation, and debugging practices in the context of distributed systems.
- Great communication skills and can work comfortably with technical and non-technical stakeholders to develop requirements.
You May:
- Build new internal and external data integrations to bring rich historical data to stakeholders through our data warehouse.
- Expand novel compliance systems to securely manage how data is transferred globally and used for analytical applications.
- Create scalable architecture to support the management, deployment, and usage of machine learning models.
- Help deploy, manage, and expand structured knowledge systems with our Data Products group.
We value diversity and believe the unique contributions each of us brings drives our success. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Note: We are unable to sponsor work visas at this time.
