Product Manager, Scientific Computing

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Advances in AI, data, and computational sciences are transforming drug discovery and development. Roche’s Research and Early Development organisations at Genentech (gRED) and Pharma (pRED) have demonstrated how these technologies accelerate R&D, leveraging data and novel computational models to realize impact. Seamless data sharing and access to models across gRED and pRED are essential to maximising these opportunities. The new computational sciences Center of Excellence (CoE) is a strategic, unified group whose goal is to harness this transformative power of data and Artificial Intelligence (AI) to assist our scientists in both pRED and gRED to deliver more innovative and transformative medicines for patients worldwide.

Within the CoE organisation, the Data and Digital Catalyst (DDC) organisation is responsible for the modernization of our computational and data ecosystems and integration of digital technologies across Research and Early Development to enable our stakeholders, power data-centric science and accelerate decision-making.

The Sr. Scientific Computing Product Manager is responsible for shaping and driving the strategy, adoption, and evolution of scientific computing products and platforms that enable computational and data-intensive research across the organization. Reporting to the Senior Director of Scientific Computing, this role operates as a senior individual contributor with broad influence across scientific, engineering, and enterprise technology teams.

This position serves as a strategic bridge between scientific users in both REDs, Scientific Computing products, and organizational management, ensuring that security, compliance and computing capabilities align with evolving research priorities and deliver measurable impact. The role requires deep technical fluency, strong scientific domain understanding, and exceptional cross-functional collaboration skills.

The Sr. Scientific Computing Product Manager focuses on enabling scalable, user-centered solutions that support scientific workflows including high-performance computing (HPC), data analysis, simulation, AI/ML, and cloud-enabled research environments. This role also partners closely with Platform Engineering, Platform Enablement and Security, Compliance and Validation to ensure products are intuitive, reliable, secure, and compliant.

Success in this role requires the ability to influence without direct authority, navigate ambiguity, and connect long-term platform strategy with practical researcher needs.

• Define and oversee the long‑term product strategy and roadmap for scientific computing platforms and services.
• Translate scientific and technical requirements into clear product direction, priorities, and measurable outcomes.
• Align product strategies with broader organizational goals in scientific computing, data, and AI/ML enablement.
• Develop a strong understanding of computational and data‑intensive scientific workflows across research domains.
• Advocate for user‑centered product design that improves accessibility, usability, and reproducibility.
• Serve as a cross‑functional leader working across Scientific Computing and the enterprise IT organization.
• Influence roadmap prioritization and delivery through partnership, collaboration and stakeholder engagement.
• Define success metrics related to adoption, platform reliability, workflow efficiency, and user satisfaction.

• Advanced degree in computational sciences, engineering, mathematics or equivalent experience.
• 6+ years of experience in an academic research setting, life sciences, or pharmaceutical research…