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Senior biostatistician - real world evidence/data analytics - remote

Crawley
Evidencia Scientific Search and Selection Limited
Biostatistician
Posted: 8 May
Offer description

Senior Biostatistician (RWE) | Innovative Healthcare Consulting firm - US/remote based


🚀 Lead high-impact real-world evidence strategy in a fast-scaling, tech-enabled consultancy environment.


A highly scientific globally respected healthcare consultancy is looking for an Experienced Biostatistician to play a pivotal role in shaping real-world evidence (RWE) strategy for leading life sciences clients across the US.


This is a senior, hands-on biostatistics role with leadership elements for someone who thrives at the intersection of rigorous analytics, client influence, and scientific storytelling.


🔍 What You’ll Cover

* Drive end-to-end RWE generation – from study design → analysis → interpretation → publication
* Act as the go-to statistical expert across observational studies, RWD, and clinical contexts
* Lead development of protocols + statistical analysis plans (SAPs) aligned to regulatory and payer expectations
* Partner directly with Pharma clients + cross-functional analytics teams to solve complex evidence questions
* Translate complex outputs into clear, decision-driving insights
* Shape scientific communications
* Mentor and elevate junior statisticians; help define best practices and scalable processes


đź§  Ideal profile

* Advanced degree (MSc/PhD preferred) in Biostatistics / Statistics / Epi / Maths
* 2-7 years consulting experience
* Strong track record in RWE, observational research (programming, methods, results interpretation)
* Prior consulting or CRO experience is critical to be considered for this role (or research and services experience delivering studies for pharmaceutical clients in a similar setting)
* Deep expertise in ideally ≥2 of the following:
* Time-to-event / survival analysis
* Causal inference (propensity scores, IVs, matching)
* Simulation methods
* Missing data methodologies
* Time series / longitudinal modelling
* Predictive modelling
* Hands-on experience with real-world data (claims, EHR, registries - critical)
* Proven ability to turn statistical results into scientific narrative
* Strong publication history (protocols, SAPs, peer-reviewed work)
* Advanced programming in R and/or SAS
* Comfortable operating across multiple high-priority projects in a client-facing environment


đź’ˇ Why This Role

* Influence high-stakes evidence generation across the drug lifecycle
* Work with cutting-edge data sources (incl. genomics + integrated RWD)
* Be part of a rapidly growing, innovation-led consultancy
* Combine technical depth + strategic client impact
* Clear scope to shape team capability and thought leadership in RWE


Strong benefits package, pension & annual bonus opportunities


Reach out now or apply for more info -

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