Description
This role builds scalable data and software platforms that support drug discovery research, integrating data pipelines, AI/ML models and molecular design workflows.
Tasks
- Design and build interactive tools for small and large molecule drug discovery workflows
- Build and enhance a scalable ecosystem of applications and tools for scientific data
- Design complex, user-friendly data applications and pipelines across scientific domains
- Apply microservices and event-driven architecture to improve data workflows
- Integrate diverse data sets to power AI, ML and natural language search capabilities
- Collaborate with computational and research scientists to translate challenges into solutions
- Provide technical leadership and mentor junior developers
Profile
- PhD or 8-10+ years of experience in life science building full-stack software solutions
- Strong software engineering expertise in backend (Python, Java) and frontend (React, Vue)
- Deep experience with data engineering, databases (SQL/NoSQL), ETL/ELT and APIs (REST, GraphQL)
- Experience deploying applications on cloud-native architectures, preferably AWS
- Experience setting up SDLC best practices including versioning, testing, CI/CD
- Ability to architect scalable solutions in complex, multi-system environments
- Outstanding communication skills to articulate technical concepts to diverse audiences
Company
Pharmaceutical research