Lead clinical studies by providing statistical support, employing advanced analytical methods, and collaborating with cross-functional teams to optimize clinical development processes.
Who Are You?
An experienced Principal Biostatistician with a passion for clinical development and analysis, adept at utilizing advanced statistical methods, you will lead studies across your region. You are excited and enthusiastic, motivate your teams to do great work and collaborate easily with your clients. You never settle for what is, but always push clinical development forward to what it could be. You motivate others to do the same.
Sponsor-dedicated:
Working fully embedded within one of our pharmaceutical clients, with the support of Cytel right behind you, you'll be at the heart of our client's innovation. You will be dedicated to one of our global pharmaceutical clients; a company that is driving the next generation of patient treatment, where individuals are empowered to work with autonomy and ownership. This is an exciting time to be a part of this new program.
As a Principal Biostatistician, your responsibilities will include:
- Lead and contribute to advanced real-world evidence (RWE) analyses using large-scale real-world data (RWD) to support clinical development, regulatory strategy, HEOR, and payer decision-making.
- Design observational studies and target trial emulations leveraging diverse data sources including EHR (Electronic Health Record), claims, registries, genomics, and digital health data.
- Apply modern causal inference and statistical learning methods (e.g., propensity score techniques, inverse probability weighting, survival and longitudinal models, representation learning) to address confounding, bias, and missing data.
- Develop and deploy machine learning pipelines for prediction, patient stratification, phenotyping, and NLP (Natural Language Processing) on structured and unstructured healthcare data.
- Integrate AI/ML outputs with traditional statistical frameworks to ensure interpretability, scientific rigor, and regulatory readiness.
- Build scalable, reproducible analytical workflows in Python and/or R, following best practices in software engineering, documentation, and quality control.
- Collaborate closely with clinical scientists, epidemiologists, data engineers, and HEOR partners to define fit-for-purpose analytical strategies.
- Translate complex quantitative results into actionable insights for technical and non-technical stakeholders.
- Contribute to governance readiness, regulatory submissions, audits, and scientific dissemination.
- Deliver high-quality analytical outputs within agreed timelines in a matrixed, global FSP environment.
Here at Cytel we want our employees to succeed and we enable this success through consistent training, development and support. To be successful in this position you will have:
- PhD in Statistics, Applied Mathematics, Data Science, or related quantitative field;
or MS with 3+ years of relevant industry experience. - Strong grounding in mathematical statistics, probability, and statistical modeling.
- Demonstrated experience applying machine learning or AI methods to large or high-dimensional datasets.
- Proficiency in Python and/or R; familiarity with ML frameworks (e.g., scikit-learn, PyTorch, TensorFlow) preferred.
- Solid understanding of causal inference and observational study design.
- Experience working with large-scale real-world data.
- Strong software engineering mindset, including reproducibility, version control, and documentation.
- Excellent communication skills and ability to collaborate effectively in cross-functional, global teams
- Experience with healthcare RWD (claims, EHR, OMOP/CDM, registries).
- Familiarity with cloud or big-data environments (SQL, Spark, Databricks, AWS, Azure, GCP).
- Experience with Bayesian modeling or probabilistic machine learning.
- Publications or applied research in ML + healthcare or RWE.
- Interest in translating academic ML into real-world, regulatory-grade analytics.
Similar Jobs
Big Data • Fintech • Mobile • Payments • Financial Services
Lead Affirm's Vulnerable Customers programme in the UK, translating FCA Consumer Duty into policy, operational frameworks, agent guidance, and reporting. Own identification, classification, case routing, metrics, governance, and cross-functional execution with Compliance, Legal, Data, Product, and Engineering to ensure fair outcomes, audit readiness, and regulatory engagement.
Cloud • Information Technology • Security • Software • Cybersecurity
Lead and manage professional services and consulting engagements, deliver successful customer outcomes, build high-performing teams, collaborate with sales and product, and drive execution and customer obsession across projects.
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
The Principal Forward Deployed Architect leads enterprise transformations using the Atlassian platform, designing scalable systems across business functions, guiding AI adoption, and mentoring teams to ensure successful implementation and architecture delivery.
Top Skills:
AWSConfluenceForgeJavaJIRAKotlinNode.jsPythonRovoTerraformTypescript
What you need to know about the Bristol Tech Scene
Along with Gloucester, Swindon and Bath, Bristol is part of the "Silicon Gorge" tech hub, a region in the U.K. renowned for its high-tech and research-driven industries, with a particular emphasis on sustainability and reducing environmental impact. As the European Green Capital, Bristol is home to 25,000 cleantech companies, including Baker Hughes and unicorn Ovo Energy. The city has committed to achieving net-zero emissions within the next decade.
