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Study Design Statistician; Remote
Job Description & How to Apply Below
Role Overview
Strategic Statistician – full‑time role focusing on clinical trial design, consulting, and internal/external SME for statistical services within MMS’s Strategic Statistical Services Arm.
Responsibilities- Assist customers with study design, focusing on Kerus Cloud simulation to align with study objectives.
- Prepare study protocols and develop Statistical Analysis Plans and Reports.
- Summarize, analyze, and visualize study data using statistical methods, delivering results within agreed timelines and quality standards.
- Provide statistical consultancy support to sponsors across clinical development, overseeing third‑party statistical and programming deliverables.
- Maintain up‑to‑date knowledge of relevant research techniques (modeling, simulation, experimental design) and participate in continuous professional development.
- Support pre‑sales discussions to understand and identify client needs, contribute to technical solutions and resource/cost estimates.
- Collaborate with product development to define key features and statistical aspects of Kerus Cloud.
- Provide input and support to marketing of Kerus Cloud, including demonstrations to clients and white papers.
- Bachelor’s degree in mathematics, statistics, physics, pharmacology, or a related field with a strong statistical component;
Master’s or PhD preferred. - 5–7 years of experience applying medical statistics in pharma, CRO, or academic settings.
- Willingness to engage with clients to understand and research problems and provide creative, business‑oriented solutions.
- Experience delivering customer projects to high‑quality standards.
- Proficiency in SAS and/or R statistical software packages.
- Experience in study design, protocol and report writing preferred.
- Experience in modeling and simulation techniques for complex study designs preferred.
- Experience with Bayesian approaches to design and analysis of clinical data preferred.
- Experience in early‑phase drug development processes, including innovative/adaptive study designs, preferred.
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