Project Manager (AI models)

About us

Qureights 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.

Were looking for talented people who want their work to matter. With offices in Cambridge and London youll 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

Qureight is building the operational backbone required to deliver at pace without compromising on scientific rigour or regulatory compliance. We have strong commercial traction with global biopharma partners and the infrastructure workflows and quality frameworks needed to support complex global trials. The next stage is to ensure that we continue to develop new disease AI models turn these into commercial products and get them out of the door into our customers hands. This requires the entire company to be joined up and focused on the right tasks.

We are therefore looking for a Project Manager to lead the delivery through to commercial launch of AI-driven products across our clinical data and imaging platform. You will be a systems thinker who is comfortable with ambiguity and iterative development. With strong communication skills and a bias towards execution and delivery you will work at the intersection of:

• Machine learning and data science
• Clinical scientific and software engineering teams
• Commercial and partner organisations

Working closely with Product Management this role will translate cutting-edge ML models into validated deployable revenue-generating solutions used in clinical trials and drug development.

What you will do

1. Drive end-to-end AI project delivery

• Manage delivery of new ML-based products from research / prototyping to validation to release and deployment
• Support continuous maintenance and improvement of ML-based products
• Coordinate across ML engineering clinical and commercial teams
• Design and manage the project budget
• Manage timelines dependencies and delivery risk in a research-heavy environment

2. Bridge technical and clinical domains

• Translate between:
• ML engineers data scientists and software and data engineering teams
• Clinicians and research partners
• External customers e.g. pharma biotech and CROs
• Work with Product Management and QARA to ensure models are aligned with:
• Clinical use cases
• Regulatory and data constraints

3. Support model validation and real-world deployment

• Oversee:
• Data acquisition and licensing
• Procurement of cloud and tooling infrastructure
• Data readiness and quality workflows
• Model validation in clinical settings
• Integration into Qureights platform and trial workflows

4. Enable commercialisation of AI products

• Work with clinical and commercial teams to:
• Support customer pilots and deployments
• Support IP protection
• Translate technical capabilities into customer value propositions
• Support marketing plans
• Working closely with Product Management help shape:
• Product specification
• Delivery models for pharma and clinical partners

• A proven track record in project management product delivery or similar roles
• Proven experience in managing complex software and machine learning product development bridging engineering and science disciplines.
• Strong understanding of:
• ML lifecycle (training validation deployment monitoring)
• Data challenges (quality bias labelling)
• Familiarity with working in a regulated environment e.g. medical devices healthcare clinical trials etc.
• Experience in high-growth startups or scaleups
• Ability to connect technical delivery with business outcomes
• Ability to manage conflicting interests and constraints
• Ability to engage deeply with technical teams without being hands-on

• A comprehensive benefits package that includesan annual bonus planprivate medical insurance life insurance and acontributory pension scheme

• 25 days annual leaveplus 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

Please upload a CV and covering letter by clicking Apply Now. Your covering letter should explain why you are applying for the job and what skills and experience you can bring to the role.

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

If you have any queries please contact

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 dont meet every qualification. Wed 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.

Required Experience:

IC