Platform Engineer

The role supports advanced Causal Biology research in a global biopharmaceutical organization by empowering scientific teams to leverage the Omics Workbench platform and optimize data pipelines.

• Strong, demonstrable experience writing production-quality Python code, including unit testing and code review practices.
• Solid hands-on experience building and managing cloud infrastructure/services on Google Cloud Platform (GCP).
• Practical background in developing, debugging, and optimizing data or analytical pipelines in cloud environments.
• Excellent verbal and written English communication skills to engage directly and independently with research scientists and project stakeholders.

• Provide platform-level support to enable scientific teams to effectively utilize the Omics Workbench and standardize data processing pipelines.
• Enforce architectural standards, best practices, and reusable design patterns across biology-focused data pipelines.
• Investigate, diagnose, and resolve pipeline and platform-level incidents, conducting Root Cause Analysis (RCA) with scientific and cloud teams.
• Contribute to the development, documentation, and iterative improvement of processes where pipelines are generated, reviewed, and released using AI/ML tools.
• Support adjacent cloud platform capabilities to enhance analytical research workflows as capacity permits.