Data Partnerships Project Manager

About us

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 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

1. 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

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 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

What we need

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

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.

How to apply

The deadline for this role is 17.00 BST on Wednesday 12 August 2026.

If you have any queries, please contact careers@qureight.com.

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.