Principal Scientist, SOP & Workflow Automation Champion, AI for Drug Discovery (AIDD)
Core
Architecting end-to-end computational drug discovery workflows by integrating modular ML components into scalable, reproducible, and agentic-ready systems that operationalize research models into standard operating procedures (SOPs) for portfolio teams.
Role type
Principal Scientist, SOP & Workflow Automation Champion (AI for Drug Discovery)
Builds
Unified, modular computational drug discovery pipelines and automated workflows for large molecule discovery.
Domain
Life Sciences / Drug Discovery (AI for Drug Discovery - AIDD)
Deliverable
production ML models
Required skills
Workflow orchestration, data pipeline design, software architecture, Python, PyTorch, TensorFlow, JAX, Nextflow, Snakemake, Airflow, CI/CD, version control, testing, documentation, cross-functional leadership, stakeholder management, research-to-production translation.
Preferred skills
None explicitly stated beyond required skills.
Technologies
PyTorch, TensorFlow, JAX, Nextflow, Snakemake, Airflow, DDC (Roche's centralized data infrastructure).
Responsibilities
Design computational workflow architecture; Lead development and standardization of SOPs for model integration and workflow execution; Partner with platform engineering teams to implement workflows at scale; Architect data integration with centralized data infrastructure; Collaborate with modeling teams to translate research models into production-ready components; Lead and mentor engineers and scientists on workflow design and automation best practices.
Seniority
Principal, hands-on IC with strategic leadership.
