Study Design Statistician (US)

MMS; Miami (FL); On-site; USD 120,000 - 180,000; Full time

Job summary

MMS seeks an experienced Strategic Statistician to lead the design and analysis for clinical trials, precision medicine, and real‑world data analytics. The role blends internal SME duties with client consultation to tackle a broad range of statistical challenges.

You will drive study design, analysis plans, and reporting for KerusCloud, collaborating with the product team and supporting pre‑sales with technical solutions and estimates.

Qualifications

• Bachelor’s degree with strong statistical component; master’s or PhD preferred.
• 5–7 years applying medical statistics in pharma, CRO, or academia.
• Willingness to engage with clients and deliver high-quality results.
• Experience with SAS or R and study design is preferred.
• Knowledge of modelling, simulation, and Bayesian approaches is advantageous.

Responsibilities

• Lead study design discussions and develop statistical analysis plans.
• Prepare protocols and reports; summarize and visualize data.
• Provide statistical consultancy across clinical development and pre‑sales.
• Oversee third‑party deliverables and maintain knowledge of methods.
• Collaborate with product teams to define statistical features of KerusCloud.
• Support marketing with demonstrations and white papers.

Skills

Study design

Modelling & simulation

Bayesian statistics

Client engagement

Statistical consultancy

Education

Bachelor’s degree in mathematics, statistics, physics, pharmacology, or related field

Master’s degree or PhD preferred

Tools

SAS

R

Job description

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. The internal job title will be Strategic Statistician.

Job Description

Our experienced statisticians and programmers develop intellectual property and assets to support the design and analysis of clinical trials, precision medicine and real‑world data analytics. We address the emerging analytics needs of the industry with our biostatistics services, bespoke algorithms and unique, state‑of‑the‑art, proprietary, cloud‑based trial simulation software KerusCloud. Working alongside innovative statisticians you will be responsible for leading the full life‑cycle of KerusCloud support and statistical services, from preparing study protocols and development of statistical analysis plans and reports, to summarizing and visualizing data and delivering results on time.

• Assisting 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 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 a related field with 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 delivering customer projects to high quality standards
• Experience with SAS and/or R statistical software packages
• Experience in study design, protocol and report writing preferred
• Experience with modelling and simulation techniques to explore complex study designs preferred
• Experience with Bayesian approaches to design and analysis of clinical data preferred
• Experience of early‑phase drug development processes including innovative/adaptive study design preferred