Study Design Statistician (US)

MMS; Raleigh (NC); On-site; USD 80,000 - 110,000; Full time

Job summary

MMS is seeking a full-time Strategic Statistician to provide expertise in clinical trial design and statistical consultancy. You'll collaborate closely with clients, leading the lifecycle of statistical services focused on our KerusCloud technology.

The ideal candidate will have a Bachelor’s degree in a relevant field and at least 5 years of experience in medical statistics, with strong knowledge of SAS or R. Join us in advancing innovative data analytics solutions for clinical development.

Qualifications

• Minimum 5 years in medical statistics, preferably in pharma or academia.
• Experience in the delivery of high-quality customer projects.
• Ability to engage with clients and provide business-oriented solutions.

Responsibilities

• Lead the full life-cycle of support and services for KerusCloud.
• Develop and analyze Statistical Analysis Plans and Reports.
• Conduct client consultations for data analysis and study design.
• Maintain knowledge of research techniques and engage in professional development.
• Collaborate on product development of KerusCloud.

Skills

Medical statistics application

Client consulting

SAS

R statistical software

Statistical analysis

Study design

Modelling and simulation techniques

Education

Bachelor’s degree in mathematics, statistics, or related fields

Master's or PhD preferred

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, providing consultation to advise clients on a range of broader statistical issues. The internal job title is 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 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:

• 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 Statistical Analysis Reports.
• Summarizing, analyzing and visualizing study data using a variety of statistical methods, ultimately delivering results to an agreed timeline with optimal quality.
• Providing statistical consultancy support to sponsors across the full span of clinical development, including oversight of third‑party statistical and programming deliverables.
• Maintaining current knowledge of relevant research techniques such as modelling, simulation and experimental design and participating in continuous professional development activity.
• Supporting pre‑sales discussions to understand and identify client needs, then contributing to technical solutions and resource/cost estimates.
• Collaborating with the Product Development team defining key features and statistical aspects of KerusCloud.
• Providing input and support to Marketing of KerusCloud, including demonstrations to clients, white papers, etc.

Requirements

• Bachelor’s degree in mathematics, statistics, physics, pharmacology or a field 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‑oriented solutions.
• Experience in delivering customer projects to high quality standards.
• Experience in SAS and/or R statistical software packages.
• Experience in study design and protocol and report writing preferred.
• Experience in modelling and simulation techniques to explore complex study designs preferred.
• Experience in Bayesian approaches to design and analysis of clinical data preferred.
• Experience in early‑phase drug development processes including innovative/adaptive study design preferred.