Scientific Digital Product Lead, Assay Workflows

Develop and refine the product family strategy within the Assay Workflows domain, ensuring alignment with key strategic initiatives. Enable seamless integration of products (applications/platforms) into our evolving data and digital ecosystem while contributing to the consolidation and deprecation of legacy systems, resulting in a reduction of technical debt.

Demonstrate a deep understanding of the needs of scientists, applying strong data and digital acumen to shape existing and the next generation of products. Leverage this understanding to guide cross-functional teams, nurture stakeholder partnerships, and manage their expectations, ensuring the execution of initiatives that deliver tangible value to our scientists.

Collaborate with technical/engineering and data experts to guide and enable the development of assay data workflows that incorporate scalable automation and modular concepts, driving faster and higher-quality insights from preclinical data.

Understand and translate the needs of scientists and the business into actionable plans. Drive business analysis, demonstrate advanced product and program/project management skills, prioritize tasks within a given framework, effectively manage budgets, and oversee external workforce contributions.

Boldly advocate for future-facing solutions by anticipating emerging capabilities and integrating them into strategic roadmaps. Identify key trends, technologies, and methodologies to ensure innovation and long-term competitiveness.

Build and cultivate trusted internal and external partnerships with collaborators, fostering effective teamwork in a global setting.

Be willing to span the domain and contribute where needed, even outside of your core area of expertise.

The new Computational Sciences Center of Excellence (CS CoE) is a strategic, unified group whose goal is to harness the transformative power of data and Artificial Intelligence (AI) to assist scientists in both pRED and gRED to deliver more innovative and transformative medicines for patients worldwide.

The Data and Digital Catalysts (DDC) department within the CS CoE is a diverse, curious and action-driven team at the intersection of science, engineering, and computation, with ambition to advance technical excellence. The team focuses on partnering with scientific communities to build a robust computational and data ecosystem that fuels scientific discovery and enables faster, data-informed decision-making. It aims to modernize the ability to acquire, store, link, share, find, and analyze data across the organization through scalable, integrated, and forward-looking solutions.

The Scientific Product Lead reports to the Domain Head of Assay Workflows within DDC and works in close collaboration with DDC capability teams. Roche’s Assay Workflows domain focuses on advancing lab workflows and developing integrated, innovative products and platforms that accelerate scientific discovery within the REDs.

• You hold a PhD or Master’s degree in life sciences, computer science, or a related field, with 3+ years of relevant professional experience in drug discovery, with a strong emphasis on data and digital innovation.

• You have deep scientific knowledge in Pharma R&D, including preclinical assay workflows, preclinical imaging (Digital Pathology, Biomedical Imaging, Optical Screening, Research Microscopy), and complex vitro models. Technical and engineering skills (e.g., Python, vibe-coding workflow development) are a strong advantage.

• You are a quick learner who excels at embracing new challenges and driving scientific and computational innovation across complex scientific domains by applying rapidly evolving new AI technologies.

• You demonstrate a strong combination of strategic vision and operational excellence, balancing long-term planning with hands-on execution to deliver impactful outcomes. You excel in navigating highly ambiguous or evolving situations with adaptability and focus.

• You have a proven ability to lead large-scale, cross-functional projects involving multiple teams and stakeholders. Experience in platform strategy, advanced product management, business analysis, and change management is highly valued, with prior work in a drug discovery setting strongly preferred.

• You are an exceptional collaborator, capable of navigating complex organizational landscapes, communicating clearly across diverse audiences, and translating big-picture transformation strategies into actionable, incremental steps that drive measurable progress.

• You have a forward-thinking and agile mindset, with a passion for innovation and curiosity. You are adept at integrating cutting-edge technologies and methodologies into assay workflows, prioritizing value creation, and fostering a culture of continuous improvement.