Top Biotech Software Engineer Jobs

Build and own major features of a cloud-based Discovery Platform: full-stack development from interactive UIs to backend data systems, collaborate with bioinformatics teams, drive architecture and reliability, mentor engineers, and incorporate AI-assisted development practices.

The Manager II manages GxP IT systems, ensuring compliance, executing IT roadmaps, and supporting system implementations in life sciences.

The Senior Software Engineer will develop and maintain a full-stack software platform, collaborate with teams, uphold engineering standards, mentor colleagues, and contribute to a SaaS solution for clinical trials.

Seeking a Staff Software Engineer to lead architectural decisions, design GraphQL APIs, interface with biologists, and support software development in synthetic biology.

Design, develop, test, integrate, deploy, and maintain enterprise research applications. Mentor developers, provide technical leadership, create specifications, troubleshoot issues, build SSRS reports/dashboards from multiple databases, collaborate with end-users and management, and contribute to development standards and process improvements.

The Software Engineer III - Voice AI develops and maintains the Voice AI platform for patient calls, optimizing real-time conversational AI features and mentoring team members.

Develop and maintain backend services for a cloud notebook application using Java and reactive Vert.x. Build secure, performant RESTful APIs, collaborate in Agile teams, write clean tested code, and integrate with cloud services and CI/CD pipelines.

The Automation CSV Engineer supports validation, compliance, and testing for GMP automation systems, ensuring they remain compliant and operational. Responsibilities include documentation, testing, collaboration across teams, and maintaining regulatory standards.

Maintain, configure, and administer enterprise databases (Epic IRIS/Caché). Troubleshoot database issues and performance bottlenecks, monitor environments, develop/implement integrity and security policies, and handle service-desk tickets and scheduling.

Build and operate Cheiron's agent layer and backend systems: agent runtime/harness, tool-calling, sandboxed code execution, agent memory, vector DB/RAG/semantic search, large-scale ingestion and indexing of life sciences data, and APIs/services using Python, FastAPI, and Postgres. Ensure reliability, observability, and verifiable source-grounded outputs while working directly with founders and early customers.