Role Overview
As part of our Strategic Statistical Services Arm, this is a full‑time role with emphasis on being an internal and external SME for clinical trial design, together with providing consultation to advise clients on a range of broader statistical issues, and will have an internal job title of Strategic Statistician.
Responsibilities
- Assist customers with their study design with a particular focus on simulation with KerusCloud to ensure they are aligned with the study objectives
- Preparation of study protocols and development of Statistical Analysis Plans and Statistical Analysis Reports
- Summarize, analyze and visualize study data using a variety of statistical methods, ultimately delivering results to an agreed timeline with optimal quality
- Provide statistical consultancy support to sponsors across the full span of clinical development, including oversight of third‑party statistical and programming deliverables
- Maintain current knowledge of relevant research techniques such as modelling, simulation and experimental design and participate in continuous professional development activity
- Support pre‑sales discussions to understand and identify client needs, then contribute to technical solutions and resource/cost estimates
- Collaborate with the Product Development team defining key features and statistical aspects of KerusCloud
- Provide input and support to marketing of KerusCloud, including demonstrations to clients and white papers
Requirements
- Bachelor’s degree in mathematics, statistics, physics, pharmacology or with a strong statistical component; Master’s or PhD preferred
- 5–7 years of experience in the application of medical statistics (pharma, CRO, academic)
- Willingness to engage with clients to understand and research problems and provide creative, business‑orientated solutions
- Experience in delivering customer projects to high‑quality standards
- Experience in SAS and/or R statistical software packages
- Experience in study design, protocol and report‑writing preferred
- Experience of modelling and simulation techniques to explore complex study designs preferred
- Experience of Bayesian approaches to design and analysis of clinical data preferred
- Experience of early‑phase drug development processes including innovative/adaptive study design preferred
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