Project Manager (AI models)

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

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 Qureight’s 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

Requirements

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

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.