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.
Skills Required
- PhD in Statistics, Applied Mathematics, Data Science, or a related quantitative field
- Alternatively, an MS in a related quantitative field with 3-5+ years of relevant industry experience
- Strong grounding in mathematical statistics, probability, and statistical modeling
- Experience applying machine learning or AI methods to large or high-dimensional datasets
- Proficiency in SAS, R, and Python
- Understanding of causal inference and observational study design
- Experience with large-scale real-world data, including claims, EHR, OMOP/CDM, or registries
- Excellent communication and cross-functional collaboration skills
- Familiarity with cloud or big-data environments such as SQL, Spark, Databricks, AWS, Azure, or GCP
- Experience with Bayesian modeling or probabilistic machine learning
- Publications or applied research in machine learning, healthcare, or real-world evidence
- Familiarity with machine learning frameworks such as scikit-learn, PyTorch, or TensorFlow
- Interest in translating academic machine learning into regulatory-grade analytics
Cytel Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Cytel and has not been reviewed or approved by Cytel.
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Healthcare Strength — Health coverage is described as comprehensive, spanning medical, dental, vision, life and disability, with FSAs/HSAs also available. Plan quality is often characterized as good to excellent, which lifts the perceived value of the overall package.
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Retirement Support — A 401(k) with employer match is consistently part of the benefits package. The plan is also characterized as well managed, contributing to a sense of baseline retirement support.
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Fair & Transparent Compensation — Overall pay is characterized as decent-to-good and broadly competitive in parts of the business, with stronger alignment noted in senior technical tracks like biostatistics and programming. The total package is often framed as respectable rather than premium.
Cytel Insights
What We Do
Cytel enables decision-makers in the life sciences to unlock the full potential of their products. From navigating uncertainty to proving value, Cytel’s 30 years of global expertise in consulting, data-driven analytics, and industry-leading software helps biotech and pharmaceutical companies transform intelligence into confident decisions. We have an uncompromising commitment to scientific rigor and high standards of operational excellence, which are channeled through our locations in North America, Europe, the United Kingdom, and Asia. Together, we enable our clients to deliver the therapies that propel humanity forward. Cytel employs a range of data science tools from biostatistics to machine learning to help executives in the life-sciences to make confident decisions powered by data. We are probably best known for being leaders in the field of adaptive clinical trial design, a subset of trial design that uses interim looks to enhance the patient safety and commercial value of pharmaceutical products. We also have specialists in Bayesian statistics, real world evidence, artificial intelligence, health economics, and a number of other research fields to ensure that academic and scientific findings can have impact on industry quickly and seamlessly. www.cytel.com
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