Principal Scientist, SOP & Workflow Automation Champion, AI for Drug Discovery (AIDD)
Core
Architecting end-to-end computational drug discovery workflows by translating novel machine learning capabilities into scalable, operationalized standard operating procedures (SOPs) and automated systems for Roche's pRED and gRED organizations.
Role type
Principal Scientist, SOP & Workflow Automation (AI for Drug Discovery)
Builds
Unified, modular, agentic-ready computational workflows integrating ML models into production pipelines for drug discovery.
Domain
Life Sciences / Pharmaceutical R&D / Artificial Intelligence
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 for scalable, reproducible systems; Lead development and standardization of SOPs for model integration and workflow execution; Partner with platform engineering to implement workflows at scale; Architect data integration with centralized data infrastructure; Collaborate to translate research models into production-ready components; Lead and mentor engineers and scientists on workflow design and automation.
Seniority
Principal, hands-on IC with strategic leadership.
