Qureight’s mission is to accelerate clinical trials and ensure breakthroughs in lung and heart disease reach patients without delay. Our AI-powered data and imaging curation platform enables the analysis of clinical imaging and other healthcare data, helping our customers bring treatments to market, faster.
We’re looking for talented people who want their work to matter. With offices in Cambridge and London, you’ll join our multidisciplinary team of clinicians, scientists, and engineers. What unites us is our open culture, continuous learning mindset, and a shared mission to help biopharma run faster, smarter trials.
About the roleWe partner with leading pharmaceutical and biotech companies, as well as hospitals and research institutions, to unlock the value of clinical data and deliver AI-driven insights in clinical trials. We are currently scaling our data partnerships and platform capabilities to support a growing portfolio of AI models and commercial programmes.
We are looking for a Project Manager to lead the management of commercial data partnerships. This role sits at the intersection of:
- Partnerships (hospitals, universities, biopharma)
- Data sourcing and acquisition
- Legal and governance
- Technical project delivery
You will manage complex, high-value projects with external stakeholders. This will range from highly structured, contractually defined biopharma companies to smaller, often less well-defined data collaborations with universities and research groups. Across both, you will bring the right people into the room, set and hold the team to clear timelines, and ensure deliverables are agreed and understood on both sides. You will also play a key role in ensuring that Qureight has access to high-quality, well-structured data to train, validate, and deploy our AI models.
This is a high-impact, cross-functional role requiring strong relationship management, commercial acumen, operational rigour, and comfort working across technical domains.
1. Project manage commercial data partnerships (end-to-end)
- Own delivery of data partnerships from initial engagement and contracting to data transfer, ingestion and ongoing management / delivery
- Coordinate across external partners and internal data science, data engineering, legal, commercial and product teams
- Work with legal and commercial teams to ensure Qureight puts appropriate data sharing and licensing agreements in place
- Ensure delivery of data assets and statistical outputs aligned with:
- Commercial agreements
- Project timelines
- Track timelines, dependencies, and risks
2. Enable data ingestion and readiness
- Work closely with technical teams to:
- Take guidance on what represents ‘good data’
- Ensure data is delivered in usable formats
- Resolve data quality and completeness issues
- Support data standardisation and annotation workflows
- Act as the bridge between:
- External data providers
- Internal data/ML teams
3. Support data sourcing and acquisition
- Support the CSO and other senior leaders to identify and secure access to datasets from:
- Hospitals and healthcare providers
- Universities and research institutions
- Commercial data partners
- Build and manage relationships with key stakeholders, including:
- Clinicians
- Researchers
- Technology transfer offices (TTOs)
4. Build scalable commercial partnership processes
- Develop repeatable processes for:
- Contracting
- Partner onboarding
- Data ingestion
- Project delivery
- Help scale Qureight’s data partnerships function as the company grows
- Proven project management experience overseeing complex, data-rich projects
- Proven experience supporting the delivery of commercial data projects with external partners, including pharma/biotech, hospitals / healthcare providers and universities / research organisations
- Strong track record of building…
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