AI Architect for End-to-End Drug Discovery

Genentech; South San Francisco (CA); Presencial; USD 201 000 - 374 000; Tempo integral

Resumo da oferta

Genentech in California seeks a senior AI for Drug Discovery role within the AI for Drug Discovery group. You will design scalable ML workflows and lead SOPs across gRED/pRED, partnering with platform teams to deploy workflows at scale.

The position emphasizes architecture, data integration, and collaboration with biology and engineering, with potential discretionary bonus. Relocation benefits are not available for this posting.

Qualificações

• PhD or equivalent with 8+ years building computational systems.
• Deep expertise in workflow orchestration, data pipelines & software architecture.
• Experience integrating heterogeneous data, models & processes at scale.
• Proficiency in Python and ML frameworks; familiarity with workflow tools.

Responsabilidades

• Design scalable modular ML workflow architectures that are reproducible and agentic.
• Lead SOP development for model integration, data pipelines, and workflow execution across gRED and pRED.
• Collaborate with Roche platform engineering to implement workflows at scale.
• Architect data integration with DDC for seamless model-data-workflow loops.
• Translate research models into production-ready components with clear interfaces & benchmarks.
• Navigate stakeholder environments to align on standards and drive adoption.
• Mentor engineers and scientists on workflow design & automation.

Conhecimentos

Workflow orchestration

Data pipeline design

Software architecture

Python

PyTorch

TensorFlow

JAX

Nextflow

Snakemake

Airflow

CI/CD pipelines

Formação académica

PhD in CS/Computational Biology or related (8+ yrs exp)

Ferramentas

Git

Docker

Kubernetes

CI/CD

Descrição da oferta de emprego

Genentech in California seeks a senior AI for Drug Discovery role within the AI for Drug Discovery group. You will design scalable ML workflows and lead SOPs across gRED/pRED, partnering with platform teams to deploy workflows at scale.

The position emphasizes architecture, data integration, and collaboration with biology and engineering, with potential discretionary bonus. Relocation benefits are not available for this posting.