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10 часов назад

Principal Scientist, SOP & Workflow Automation Champion, AI for Drug Discovery (AIDD)

201 300 - 373 800$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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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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