Address
SalaryThey aim to revolutionise the diagnosis and treatment of infectious diseases by developing clinical tools. The company has been built by a world-leading pathogen genomics team from the University of Oxford, supported by the cloud computing scale and security of Oracle Inc, and backed by Larry Ellison.
As the Product Manager for Data, you’ll have a unique opportunity to shape the development of our data products and drive innovation in the field of infectious disease diagnostics and treatment. You'll play a pivotal role in collaborating with science and development teams to define our product, create user journeys, and refine product ideation based on the value proposition of suggestions.
As a Data Product Manager, you will be a talented all-rounder who can work as part of a small, agile team. Initially reporting directly to the CTO, you will play a foundational role in a team which is intended to grow rapidly.
GPAS has applications spanning from research, pathogen surveillance through to clinical use around the world. In line with our strategy, the platform will be scaled with users, pathogen pipelines, and data aggregation.
Responsibilities will include:
- Collaborating with science and development teams to define product and create user journeys, utilising your technical experience to design a data led product roadmap.
- Building understanding of market landscape and competitors
- Refining product ideation to roadmap based on the value proposition of suggestions
- Working with CSO and CTO to define “North Star” product vision, and create milestones in product roadmap to drive towards this delivery
- Working with users and industry leaders to understand user needs
About You
We are looking for a highly motivated and proactive individual with a passion for leveraging technology to improve health outcomes globally. You should be a strategic thinker with a track record of driving innovation and managing complex product ecosystems.
Your experience should include:
- Previous experience as a Product Manager, ideally in a start-up or scale-up environment
- Experience in data led products (data warehousing, data for R&D, research data environments, etc.)
- Comfortable working with agile development teams
- Strong technical knowledge of high-performance compute, data mining (ML/AI)
Desirable qualifications:
• Worked with academic collaborators
• ISO 27001, GDPR, international laws/regulations around data sharing, potentially including health data (HIPAA)
