Lead real-world evidence biostatistical analyses using large-scale healthcare data to support clinical development, regulatory strategy, HEOR, and payer decisions. Design observational studies and target trial emulations, apply causal inference, statistical learning, machine learning, and NLP, and build reproducible Python/R workflows. Collaborate with clinical, epidemiology, data engineering, and HEOR teams while translating findings for technical and non-technical stakeholders. Support regulatory submissions, governance, audits, and scientific dissemination.
Who Are You?
An experienced RWE 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 an RWE Biostatistician, your responsibilities will include:
- Lead and support advanced RWE analyses using large-scale RWD to inform clinical development, regulatory strategy, HEOR, and payer decisions.
- Review statistical analysis plans and provide input for observational studies and target trial emulations using diverse data sources, including EHRs, claims, registries, genomics, and digital health data.
- Apply causal inference and statistical learning methods, such as propensity scores, inverse probability weighting, survival and longitudinal models, and representation learning, to address confounding, bias, and missing data.
- Develop and implement machine learning pipelines for prediction, patient stratification, phenotyping, and NLP using structured and unstructured healthcare data.
- Combine AI/ML outputs with traditional statistical approaches to support interpretability, scientific rigor, and regulatory readiness.
- Build scalable, reproducible analytical workflows in Python and/or R, applying best practices in software engineering, documentation, and quality control.
- Collaborate with clinical scientists, epidemiologists, data engineers, and HEOR partners to define fit-for-purpose analytical strategies.
- Translate complex quantitative findings into actionable insights for technical and non-technical stakeholders.
- Support governance readiness, regulatory submissions, audits, and scientific dissemination.
- Deliver high-quality analytical outputs on agreed timelines within a global, matrixed 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 3-5+ 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 Statistical programming languages including SAS, R and Python: familiarity with ML frameworks (e.g., scikit-learn, PyTorch, TensorFlow) preferred.
- Solid understanding of causal inference and observational study design.
- Excellent communication skills and ability to collaborate effectively in cross functional, global teams.
- Experience with large-scale real-world data (administrative 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
Cloud • Security • Software • Cybersecurity • Automation
Own and grow strategic UK public sector accounts by acquiring enterprise customers, expanding existing relationships, managing the full sales cycle, developing account plans, presenting value-based solutions, coordinating technical and customer success resources, and achieving sales quotas. The role requires consultative solution selling, executive communication, knowledge of Git and software development tools, and travel when needed.
Top Skills:
Application Lifecycle ManagementArtificial IntelligenceDevsecopsGitGitlabSoftware Development Tools
Cloud • Security • Software • Cybersecurity • Automation
Leads GitLab’s global SMB new-business organization across EMEA and AMER, overseeing regional sales, BDR, and SDR managers. Owns new-logo strategy, pipeline generation, quota and territory planning, forecasting, revenue reporting, hiring, manager development, and cross-functional alignment. The role drives outbound sales motions, develops team performance, analyzes market opportunities, and represents new-business strategy to senior leadership.
Top Skills:
ClariCRMDevsecopsGitlabMarketing AutomationMarketoSalesforce
Marketing Tech • Social Media • Software • Analytics • Business Intelligence
The Account Executive will prospect, develop, and close large-enterprise B2B sales opportunities, focusing on new-logo acquisition, cross-selling, pipeline generation, and quota attainment. Responsibilities include managing strategic accounts, building executive-level relationships, conducting consultative selling, researching customer needs, creating territory plans, collaborating with BDRs and internal teams, and mentoring a BDR. The role requires enterprise sales expertise and customer-centric SaaS selling skills.
Top Skills:
GongSaaSSocial Intelligence Platform
What you need to know about the Belfast Tech Scene
If asked to name the birthplace of the RMS Titanic, you might not say Belfast. Similarly, if asked to name Europe's leading destination for foreign direct investment in new software development, Belfast might not come to mind. Yet, both are true. The city has emerged as a tech powerhouse, recently ranked among the best in the U.K. for tech careers — especially for software developers. It also leads the U.K. with the highest percentage of software development jobs advertised.
