About Us

Qureight's mission is toaccelerate 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 Role

We 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 Data Partnerships Project Manager to lead the management of critical data partnerships. This role sits at the intersection of:

Technical project delivery
Partnerships (hospitals, universities, biopharma)
Data sourcing and acquisition
Legal and governance

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, operational rigour, and comfort working across technical domains.

What You Will Do

Project manage 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 machine learning, 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
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
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)
Build scalable partnership processes
Develop repeatable processes for:
- Contracting
- Partner onboarding
- Data ingestion
- Project delivery
Help scale Qureight's data partnerships function as the company grows

Requirements

Proven experience managing complex, data-rich projects
Proven experience working with hospitals / healthcare providers and universities / research organisations
Strong track record of building and maintaining relationships with external partners and cross-functional internal stakeholders
Comfortable collaborating with legal teams and working with data sharing and licensing agreements
Experience in sourcing, negotiating, or managing access to datasets
Understanding of data ingestion workflows and data formats and quality challenges
Ability to work effectively and cross-functionally with machine learning, data science, data engineering, legal, commercial and product teams
Familiarity with GxP / regulated software environments

Even Better If You Have Experience Of...

Healthcare, biotech, medtech, or techbio environments
Experience in high-growth startups or scaleups
Familiarity with:
Technology transfer offices (TTOs)
Research collaboration agreements
Exposure to:
Clinical trials
AI / machine learning workflows
Medical imaging, biomarkers, or real-world data
Experience supporting:
Customer deployments
Enterprise / pharma partnerships

Benefits

Salary range - £56,000-£61,000
A comprehensive benefits package that includes an annual bonus plan, private medical insurance, life insurance, and a contributory pension scheme
25 days annual leave, plus bank holidays and enhanced maternity leave
A diverse work environment that brings together experts in many fields, including software engineering, DevOps, data science, machine learning, quality assurance, regulatory affairs, and clinical operations

Everyone is welcome at Qureight. We are an equal opportunities employer and encourage applications from all suitably qualified candidates regardless of age, disability, ethnicity, sex, gender reassignment, religion or belief, sexual orientation, marriage and civil partnership, or pregnancy and maternity.

Women and other underrepresented groups may be less likely to apply for a role unless they meet all or nearly all of the requirements. If this applies to you, we still encourage you to apply - you may be a great fit, even if you don't meet every qualification. We'd love to hear from you.

If you require any adjustments to the application or selection process, please let us know. We will be happy to support you.

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