Head of Data Science

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

As Qureight scales its AI-driven imaging platform, we are building the data science capability required to translate machine learning outputs into clinically meaningful, trial-ready, and commercially valuable insights.

We are looking for an exceptional Head of Data Science to lead this function. This role sits at the intersection of machine learning, clinical research, and product delivery, ensuring that our models generate outputs that are scientifically robust, clinically interpretable, and deployable in clinical trials and drug development.

Reporting to the Chief Scientific Officer, this is a high-impact leadership role responsible for defining how data science supports the full pipeline from model development through to clinical and commercial use.

You will be responsible for...

Define the long-term data science strategy aligned with company objectives.

Lead and scale the data science function:

• Build and lead a high-performing data science team across model analysis, client analysis, and advanced methodologies
• Define and embed best practices for reproducible, modular, and scalable data science pipelines
• Set standards for statistical validity, analytical rigor, and reproducibility of outputs across the organisation

• Ensure strong alignment with machine learning, data engineering, and clinical teams

Translate ML outputs into trial-ready products:

• Drive development of data science outputs that support commercial offerings and client value propositions
• Own the transformation of machine learning outputs into clinical trial endpoints, biomarker definitions, and statistical outputs used by sponsors
• Ensure outputs are scientifically valid, clinically interpretable, and suitable for regulatory use and use by sponsors here instead

Develop advanced analytical methodologies:

• Lead development of methodologies including synthetic control arms, longitudinal modelling, and patient-level outcome modelling
• Ensure methods are robust, reproducible, and defensible in external settings

Drive scientific outputs and validation:

• Oversee delivery of validation reports, abstracts and publications, and sponsor-facing analyses
• Ensure data science outputs reinforce Qureight’s scientific credibility
• Represent the data science function in external scientific and commercial engagement

Partner across the organisation:

• Work closely with ML, data engineering, clinical/translational, product, and commercial teams
• Align data science outputs with productization and customer needs
• Act as a key bridge between technical teams and external stakeholders

Support trial delivery and sponsor engagement:

• Contribute to trial design and endpoint strategy
• Translate complex outputs into clear, actionable insights

Requirements

What we need...

• Must have proven experience leading data science teams in complex, data-driven environments within healthcare, biotech, medtech, or clinical trial datasets
• Strong background in statistical modelling, machine learning applications, and longitudinal data analysis
• Track record of delivering high-quality scientific outputs (publications, validation studies, sponsor deliverables)
• Experience working cross-functionally with ML, engineering, and clinical teams
• Strong communication skills, with the ability to translate technical outputs into clinical and commercial impact
• Experience defining and executing data science strategy at team or organisational level
• Experience delivering outputs in regulated or client-facing environments

Even better if you have experience of…

• Synthetic control arms in clinical trials and/or causal inference
• Quantitative imaging or imaging biomarkers
• Regulatory or GxP environments
• Pharma partnerships or clinical trial delivery

Benefits

What can you expect from us

• 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

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. We review CVs as we receive them and interview as soon as we have applications that look like a good match (usually within one week). We do not use closing dates. So, please apply as soon as possible to avoid missing out on this role. We advertised this role on 13th May 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.