Study Design Statistician (US)

MMS; Phoenix (AZ); On-site; USD 120,000 - 180,000; Full time

Job summary

MMS is seeking a Strategic Statistician in the United States (Phoenix, AZ) to act as an internal and external SME for clinical trial design and to advise clients on broader statistical issues. You will lead the full life‑cycle of KerusCloud support, from study protocols to reports, delivering high‑quality results on schedule.

As part of the Strategic Statistical Services Arm, you will collaborate with statisticians and the product team to define features, assist pre‑sales, and contribute to

Qualifications

• Bachelor’s degree in mathematics, statistics, physics, pharmacology, or a related field with strong statistical component.

Responsibilities

• Assist customers with study design and simulation to align with study objectives.
• Prepare study protocols and develop statistical analysis plans and reports.
• Summarize, analyze and visualize study data using various statistical methods and deliver results on time.
• Provide statistical consultancy support to sponsors across the full span of clinical development, including oversight of third‑party deliverables.
• Maintain knowledge of modelling, simulation and experimental design; engage in professional development.
• Support pre‑sales discussions to understand client needs and contribute to technical solutions and cost estimates.
• Collaborate with product development to define features and statistical aspects of KerusCloud.
• Support marketing with demonstrations and white papers.”],
• CoT_job_summary_short
• JOB_SUMMARY_SHORT
• COMPANY NAME: MMS
• KEY POINTS: Clinical trial design SME, KerusCloud expertise, client consultation
• job_summary_short
• <p>MMS is seeking a Strategic Statistician in the United States (Phoenix, AZ) to act as an internal and external SME for clinical trial design and to advise clients on broader statistical issues. You will lead the full life‑cycle of KerusCloud support, from study protocols to reports, delivering high‑quality results on schedule.</p><p>As part of the Strategic Statistical Services Arm, you will collaborate with statisticians and the product team to define features, assist pre‑sales, and contribute to marketing with demonstrations and white papers. Strong experience in medical statistics and study design is essential.</p>
• contract_type
• fulltime
• location_type
• on site
• remote_scope
• null
• perks
• []
• stated_min
• null
• stated_max
• null
• stated_absolute
• null
• salary_estimation_cot
• Senior Statistician in Phoenix, AZ: typical market range is $120k–$180k gross per year.
• estimated_low
• 120000
• estimated_medium
• 150000
• estimated_high
• 180000
• currency
• USD
• frequency
• yearly
• bonus
• null
• tax
• gross
• application_email
• null
• job_end_date
• null
• contact_person
• null
• hiring_department_name
• Strategic Statistical Services
• output_language
• ENG

Skills

Client engagement

Medical statistics

Study design

Bayesian statistics

Communication

Problem solving

Education

Bachelor’s degree (math/stats/physics/pharmacology)

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, 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