Job at a glance
We are seeking an experienced Software Engineer (Senior / Lead) to help architect and scale our Clinical Data Layer —a cloud-native platform designed to harmonize complex clinical trial dataset streams into the standardized CDISC SDTM structure. In this end-to-end engineering position, you will build robust serverless data pipelines alongside the analytical interface tools used by clinical data specialists.
Your work directly underpins global regulatory submissions, patient safety monitoring, and key clinical research outcomes. Essential Requirements: Experience: 5+ years of hands-on software development experience for Senior level (8+ years for Lead level). Python Mastery: Deep proficiency with Python, including clean code architecture, monorepo patterns, and test-driven development ( pytest , pytest-bdd ).
AWS Expertise: Proven track record with serverless AWS primitives (Lambda, Step Functions, S3, DynamoDB, IAM), with a clear focus on latency optimization, fault tolerance, and cost efficiency. Strong Advantages: GraphQL & Front-End: Hands-on experience with AWS AppSync schema/resolver development and integration with modern React/TypeScript clients (Vite). Infrastructure Automation: Expertise writing and debugging multi-environment Terraform configurations.
Big Data & Analytics: Experience using Databricks or similar distributed data frameworks. Domain & Regulatory Standards: Familiarity with clinical data models ( CDISC SDTM, ADaM ) or software compliance in regulated spaces ( GxP, 21 CFR Part 11 ). Distributed Architecture: Solid understanding of event-driven software patterns (fan-out/fan-in, idempotency, retry strategies). 🛠️ Core Tech Stack Core & Compute: Python, AWS Lambda, AWS Step Functions Data & Storage: Databricks, Amazon DynamoDB, Amazon S3, OpenSearch API & Front-End: AWS AppSync (GraphQL), React, TypeScript, Vite Infrastructure & CI/CD: Terraform, GitHub Actions