Study Design Statistician (US)

MMS Holdings Inc; Atlanta (GA); On-site; USD 80,000 - 100,000; Full time

Job summary

MMS Holdings Inc is seeking a full-time Consultant Statistician in Atlanta, Georgia. Your role will focus on leading study designs and delivering statistical services for clinical trials, leveraging the cloud-based tool KerusCloud. Responsibilities include preparing protocols, analyzing data, and providing statistical consultancy throughout clinical development.

The ideal candidate will have a Bachelor's degree in a relevant field and 5-7 years of experience in medical statistics, alongside proficiency in SAS or R. Join us to make an impact in the pharmaceutical industry.

Qualifications

• 5–7 years of experience in medical statistics.
• Willingness to engage with clients and understand their needs.
• Experience delivering projects to high-quality standards.

Responsibilities

• Lead study design using KerusCloud for statistical analysis.
• Prepare study protocols and Statistical Analysis Plans.
• Analyze study data and visualize results.
• Provide consultancy support across clinical development.

Skills

Medical statistics application (pharma, CRO, academic)

SAS

R statistical software

Study design and report writing

Modelling and simulation

Bayesian approaches

Education

Bachelor's degree in mathematics, statistics, or related field

Master's or PhD preferred

Job description

Job Scope

As part of our Biometrics Strategic Consulting Arm, this is a full‑time role with emphasis on being an internal SME for clinical trial design, together with advising clients on a range of broader statistical issues, and will have an internal job title of Consultant 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:

• 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.
• 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, white papers, etc.

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 and 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.