Platform Engineer

We are seeking a skilled Data/Cloud Engineer to provide platform-side support and pipeline standardization for advanced Causal Biology research within a global biopharmaceutical organization. In this role, you will empower scientific teams to effectively leverage the Omics Workbench platform, optimize data pipelines, diagnose complex cloud-level issues, and contribute to cutting-edge AI/ML-assisted pipeline development workflows. Key Responsibilities Platform Enablement: Provide platform-level support enabling scientific teams to effectively utilize the Omics Workbench and standardize data processing pipelines. Pipeline Standardization: Enforce architectural standards, best practices, and reusable design patterns across biology-focused data pipelines. Troubleshooting & RCA: Investigate, diagnose, and resolve pipeline and platform-level incidents, conducting Root Cause Analysis (RCA) in collaboration with scientific and cloud teams. AI/ML Pipeline Integration: Contribute to the development, documentation, and iterative improvement of processes where pipelines are generated, reviewed, and released using AI/ML tools. Platform Capabilities: Support adjacent cloud platform capabilities to enhance analytical research workflows as capacity permits. Requirements (Must-Have) Python Proficiency: Strong, demonstrable experience writing production-quality Python code, including unit testing and code review practices. Google Cloud Platform (GCP): Solid hands-on experience building and managing cloud infrastructure/services on GCP. Pipeline Development: Practical background in developing, debugging, and optimizing data or analytical pipelines in cloud environments. English Fluency: Excellent verbal and written English communication skills to engage directly and independently with research scientists and project stakeholders.