Senior Full Stack Engineer, Verisian

• You have 7+ years of experience
• Extensive experience with TypeScript and React
• Extensive experience with Next.js/similar framework
• Extensive experience with HTML/CSS layouting, cross-browser compatibility, responsive design
• Extensive experience developing client-server applications
• Experience identifying and resolving performance and scalability issues
• Experience in testing, integration testing, build and release management (CI/CD, Github Actions/similar)
• Experience with cloud native tools like Kubernetes & Docker
• Experience working in AWS, Azure, GCP
• Strong focus on building as a team: we have a We & Mission mindset
• Strong ability to communicate complex technical problems and solutions, foresee risks, and align work across multiple teams and colleagues
• “If it’s not code and documented, it doesn’t exist”-mindset
• Iteration mindset
• We welcome candidates of diverse experience levels, and meeting every requirement is not mandatory. Research indicates that underrepresented groups tend to apply only if they meet all qualifications. If you're enthusiastic about the role, please apply and let our recruiters evaluate your application

Desirable

• As a Senior Full Stack Software Engineer, you will join our world-class engineering team in building the Verisian Platform. You will work on an application that exposes our clinical trial insights to data managers, statistical programmers, statisticians, medical experts/writers, and regulatory authorities
• The Verisian Platform brings value to a set of highly regulated processes crucial for medical progress and innovation. You will be working on the Planner, Builder, Explorer, Validator, Submitter, and related supporting modules
• These core modules of the platform target the planning, exploration/onboarding, building, validation, submission, and review of clinical trials and their results
• They enable data managers, statistical programmers, statisticians, medical writers, and regulators to deliver their work faster, at higher quality, lower cost, and in greater confidence
• Our data pipelines analyze clinical trial documentation, code, logs, data, and results to build a knowledge graph through code traceability. We harness the resulting dataset, column-level data and logic lineage to turn clinical trials into Information Infrastructure that can be used by experts and consumed by AI to revolutionize how therapies are evaluated and enter the market
• We capture complex processes in fully- and semi-automated workflows that place experts in control and AI automation at their fingertips. We build visualizations to provide our customers with a maximum of insight as fast as possible
• As part of our core team, you will join us in building and testing new functionality, troubleshooting customer issues, finding root causes, and deploying required fixes to ensure maximal user impact and performance
• Beyond feature development and bug hunting, you will also be responsible for contributing to automated testing and participation in building, deployment, security and compliance
• Our application stack is based on Next.js and deployed via Docker/Kubernetes in the cloud
• The data analysis pipelines run in Argo Workflows. We analyze code based on Antlr4 and Java. AI agents are developed in Python. Git is where our code lives, and Github Actions is how it gets out into the world