Head of Data Science
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Head of Data Science at Qureight Ltd: Cambridge, Велика Британія; Гібридно; Повна зайнятість; IT; Data Science та ML. JobGrid adds normalized role facts, source context, and a path to the employer application page so candidates can compare the listing before applying.
- Location and workplace: Cambridge, Велика Британія, Гібридно
- Role classification: IT, Data Science та ML, Повна зайнятість
- Source freshness: checked by JobGrid on 2026-05-30.
- Application path: candidates continue to the employer application page with non-personal referral tags.
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