Senior Digital Product Lead — Assay Workflows

Roche

Basel

On-site

CHF 120,000 - 180,000

Full time

3 days ago
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Job summary

Roche is seeking a Scientific Digital Product Lead in Basel to bridge advanced science and digital innovation, translating complex laboratory workflows into scalable, AI-powered platforms. You will guide roadmap priorities and partner with data and engineering teams to deliver measurable value for preclinical R&D.

You bring a PhD or MSc in life sciences or computer science with 3+ years in drug discovery, strong product leadership, and a passion for AI-enabled solutions that accelerate

Qualifications

  • PhD or Master’s degree in life sciences or computer science with 3+ years in drug discovery and data/digital innovation.
  • Experience leading complex, cross-functional product initiatives in a research setting.
  • Strong understanding of preclinical assay workflows and data-driven decision making.

Responsibilities

  • Develop and refine the product family strategy within Assay Workflows and align with data ecosystem goals.
  • Translate scientist needs into actionable roadmaps and prioritise initiatives with stakeholders.
  • Collaborate with engineering and data teams to design scalable, automated assay data workflows.
  • Perform business analysis, manage budgets, and coordinate external workforce as needed.
  • Identify trends and emerging capabilities to future-proof roadmaps and capabilities.
  • Build trusted partnerships with internal and external collaborators across Roche.
  • Be flexible and contribute beyond core area when required.

Skills

Data analytics
AI/ML experience
Cross-functional leadership
Strategic product planning

Education

PhD or Master’s in life sciences or computer science

Tools

Python

Job description

Roche is seeking a Scientific Digital Product Lead in Basel to bridge advanced science and digital innovation, translating complex laboratory workflows into scalable, AI-powered platforms. You will guide roadmap priorities and partner with data and engineering teams to deliver measurable value for preclinical R&D.

You bring a PhD or MSc in life sciences or computer science with 3+ years in drug discovery, strong product leadership, and a passion for AI-enabled solutions that accelerate

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