Software Engineer

The Pattern Data platform was created for the rapid analysis of millions of medical records. Fueled by AI, our platform efficiently reviews and categorizes documents in minutes, significantly reducing validation time by highlighting pertinent information crucial for litigation in medical analysis and personal injury cases. Our platform has been successfully implemented in major national settlements to process, adjudicate, and value claims.

We transform terabytes of unstructured data into real-time, indexed medical and legal knowledge bases. Our document processing pipeline is the industry’s fastest and uses Scala on AWS. We accomplish this at scale using the following core stack of technologies:

• Scala, TypeScript, PostgresQL, GraphQL, Elasticsearch, AWS

At Pattern, our team is built on a foundation of innovation, integrity, and collaboration—values that consistently deliver excellence to our clients. We’re looking for an entry-level Software Engineer to join our growing team.

What You’ll Do:

As a Software Engineer at Pattern Data, you will:

• Learn from the best – work alongside our Senior Engineers and CTO in the design, development and maintenance of our document processing systems and user-facing applications
• Proactively tackle assigned tasks and projects, ensuring timely completion on deliverables
• Develop front-end components using React and Typescript
• Support back-end development using Scala
• Be a pioneer in the legaltech industry. You’ll collaborate with our product, analytics, and engineering teams to build well-designed and scalable solutions that meet the needs of our users
• Write clean, maintainable, and well-tested code

What You’ll Bring:

• Bachelor’s degree in Computer Science, a related technical discipline, or related practical experience
• Project experience working fullstack; internship experience on a small team is a plus
• Curiosity to solve deep problems with strong attention to detail
• Unafraid to ask questions – you’re an excellent communicator with strong collaboration skills
• Eagerness and quick to learn and adapt to new technologies and tools