Principal RWE Biostatistician

Job not on LinkedIn

🔥 21 hours ago

🇬🇧 United Kingdom – Remote

⏰ Full Time

🔴 Lead

🧪 Clinical Research

👻 Ghost score 19%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Clinical Outcomes Solutions

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

🏥 Healthcare

🧬 Biotechnology

Consulting • Healthcare • Biotechnology

Clinical Outcomes Solutions is a global clinical outcomes consultancy that provides comprehensive support and services in all aspects of Clinical Outcome Assessment (COA) research. The company helps inform patient care by capturing the patient voice through innovative scientific methods. It guides organizations in navigating the complexities of clinical outcomes research by crafting strategies and solutions to capture accurate data. Trusted by pharmaceutical and biotechnology companies, the firm ensures regulatory compliance and optimized patient outcomes.

📋 Description

• Lead and support advanced RWE analyses using large-scale real-world data 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 EHRs, claims, registries, genomics, and digital health data • Apply causal inference and statistical learning methods, including 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 using software engineering, documentation, and quality-control best practices • 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

🎯 Requirements

• 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 such as scikit-learn, PyTorch, and 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, including administrative claims, EHR, OMOP/CDM, and registries • Familiarity with cloud or big-data environments including SQL, Spark, Databricks, AWS, Azure, and GCP • Experience with Bayesian modeling or probabilistic machine learning • Publications or applied research in ML plus healthcare or RWE • Interest in translating academic ML into real-world, regulatory-grade analytics

🏖️ Benefits

• Consistent training, development and support • Significant professional growth opportunities • Autonomy and ownership while working within a sponsor-dedicated program