10 часов назад
Principal Scientist, SOP & Workflow Automation Champion, AI for Drug Discovery (AIDD)
201 300 - 373 800$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Principal Scientist, SOP & Workflow Automation Champion, AI for Drug Discovery (AIDD) (AI for Drug Discovery): Architecting computational workflows that operationalize machine learning models, data pipelines, and SOPs for end-to-end drug discovery with an accent on workflow orchestration, data integration, and production-ready systems. Focus on designing reliable, reproducible, and agentic-ready architectures, translating research code into scalable components, and driving adoption across scientific and engineering organizations.
Location: South San Francisco, California, United States of America
Salary: $201,300–$373,800 annually, with a potential discretionary annual bonus.
Company
A biotechnology organization within a global healthcare group, focused on groundbreaking science and the discovery and development of medicines for serious and life-threatening diseases.
What you will do
- Design computational workflow architecture for end-to-end drug discovery.
- Lead the development and standardization of SOPs that operationalize machine learning capabilities.
- Architect data integration across heterogeneous sources, models, and discovery processes.
- Translate research-stage models and code into scalable, reproducible, production-ready components with clear interfaces, benchmarks, and failure modes.
- Partner with modeling, platform engineering, data infrastructure, portfolio, biology, chemistry, and technology development teams to implement workflows at scale.
- Lead and mentor scientists and engineers on workflow design, automation practices, and computational architecture.
Requirements
- PhD in Computer Science, Computational Biology, Bioinformatics, or a related field, or equivalent advanced experience building computational systems for 8+ years.
- Deep expertise in workflow orchestration, data pipeline design, and software architecture.
- Strong proficiency in Python and modern machine learning frameworks, including PyTorch, TensorFlow, or JAX.
- Experience with workflow tools such as Nextflow, Snakemake, Airflow, or similar, plus version control, testing, documentation, and CI/CD practices.
- Experience integrating computational methods with experimental biology and understanding drug discovery workflows.
- Demonstrated leadership of complex cross-functional initiatives and the ability to build consensus among technical and non-technical stakeholders.
Nice to have
- First-author publications or equivalent evidence of research contributions.
- Experience driving adoption of new standards, tools, or processes in larger organizations.
Culture & Benefits
- Work within a strategic Computational Sciences Center of Excellence supporting research and early development organizations.
- Benefits are provided according to the applicable company program.
- A discretionary annual bonus may be available based on individual and company performance.
- Relocation benefits are not available for this job posting.
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