Study Design Statistician (US)

MMS; Baltimore (MD); On-site; USD 80,000 - 120,000; Full time

Job summary

MMS is seeking a full-time Strategic Statistician to support clinical trial design and provide statistical consultancy. This role emphasizes simulation using KerusCloud and requires strong expertise in topics such as Bayesian methods and statistical reporting.

The ideal candidate will possess a Bachelor's degree in a relevant field and have 5–7 years of experience in medical statistics. The role involves leading various projects and collaborating closely with clients and internal teams.

Qualifications

• 5–7 years of experience in medical statistics, preferably in pharma or CRO.
• Strong background in study design and statistical analysis methods.
• Experience in Bayesian design and analysis preferred.

Responsibilities

• Lead the lifecycle of KerusCloud support and statistical services.
• Collaborate with clients to design studies aligned with objectives.
• Prepare study protocols, analysis plans, and reports.

Skills

Medical statistics

Client engagement

SAS

R statistical software

Study design

Statistical reporting

Education

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

Master’s 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, 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.