Project Manager - Commercial Data Partnerships

Qureight Ltd; Cambridge; On-site; GBP 60,000 - 90,000; Full time

Benefits offered by this job

Annual bonus plan

Private medical insurance

Life insurance

Contributory pension scheme

25 days annual leave

Job summary

Qureight Ltd. in the UK is seeking a Project Manager to lead commercial data partnerships across hospitals, universities, and biopharma.

You will manage end-to-end delivery, coordinate data sourcing, legal agreements, and cross-functional teams to ensure timely, high-quality data assets for AI models. You'll work closely with the CSO and senior stakeholders to scale partnerships, define repeatable processes, and protect data governance and licensing.

Qualifications

• Proven project management experience overseeing complex, data-rich partnerships.
• Strong relationship management with external partners and internal teams.
• Ability to coordinate across legal, commercial, data science, and product teams.

Responsibilities

• Lead end-to-end management of commercial data partnerships.
• Coordinate data sourcing, transfer, ingestion, and ongoing delivery.
• Work with legal/commercial teams to secure data-sharing and licensing agreements.
• Ensure data assets and outputs align with commercial timelines and contracts.
• Track timelines, dependencies and risks; manage cross-functional collaborations.

Skills

Project management

Relationship management

Cross-functional collaboration

Data partnerships

Contracting & licensing

Data governance

Stakeholder management

Operational delivery

Tools

CRM systems

Data ingestion workflows

Job description

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 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.

What you will do

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

1. 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

1. 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)

1. 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 and maintaining relationships with external commercial 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 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

• A comprehensive benefits package that includesan annual bonus plan,private medical insurance, life insurance, and acontributory 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.

If you have any queries, please contact [e-mail].

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.