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.
Responsibilities
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
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
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
Preferred Qualifications
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
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
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.
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.
If you require any adjustments to the application or selection process, please let us know. We will be happy to support you.
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