Study Design Statistician (US)

MMS; Boston (MA); On-site; USD 140,000 - 210,000; Full time

Job summary

MMS is seeking a Strategic Statistician to act as an internal and external SME for clinical trial design. You will guide design decisions, lead analysis, and support KerusCloud deployment with statistical services.

The role emphasizes collaboration with clients and product teams, delivering high-quality protocols, SAPs, and reports while staying current with modelling and Bayesian techniques.

Qualifications

• Bachelor’s degree in a quantitative field; advanced degree preferred.
• 5–7 years applying medical statistics in pharma/CRO/academic settings.
• Willing to engage with clients and propose solutions.
• Experience delivering customer projects to high-quality standards.
• Proficiency in SAS and/or R.

Responsibilities

• Lead full life-cycle of KerusCloud support and statistical services.
• Assist customers with study design and simulation to meet objectives.
• Prepare study protocols and develop SAPs and SAPRs.
• Summarize and visualize study data using various statistical methods.
• Provide statistical consultancy to sponsors across development.
• Maintain knowledge of modeling, simulation, experimental design.
• Support pre-sales discussions with client needs and solutions.
• Collaborate with Product Development for features and stats.

Skills

SAS

R

Bayesian statistics

Study design

Client consultation

Data visualization

Education

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

Master's degree or Ph.D. preferred

Tools

SAS

R

Job description

Job Description

As part of our Strategic Statistical Services Arm, this full‑time role emphasizes being an internal and external SME for clinical trial design, providing consultation to advise clients on a range of broader statistical issues. Your internal job title will be Strategic Statistician.

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. You will be responsible for leading the full life‑cycle of KerusCloud support and statistical services, from:

• Assisting customers with study design, focusing on simulation with KerusCloud to ensure alignment with 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, delivering results on agreed timelines 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 activities.
• 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 Ph.D. 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 and 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 with early‑phase drug development processes, including innovative/adaptive study design preferred.