Study Design Statistician (US)

MMS Holdings Inc

Austin (TX)

On-site

USD 80,000 - 120,000

Full time

14 days+
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Job summary

MMS Holdings Inc in Austin, Texas is seeking a full-time Strategic Statistician to provide internal and external expertise for clinical trials. You will lead various statistical services, including assisting with study designs, preparing protocols, and delivering analyses.

The ideal candidate has a Bachelor's degree (Masters or PhD preferred) in a relevant field, with 5-7 years of experience in medical statistics and proficiency in SAS/R. The role includes collaborating on the KerusCloud platform and supporting pre-sales discussions with clients.

Qualifications

  • 5-7 years of experience in the application of medical statistics.
  • Experience in delivering customer projects to high quality standards.
  • Experience in study design and report-writing preferred.

Responsibilities

  • Assist customers with study design and simulation using KerusCloud.
  • Prepare study protocols and Statistical Analysis Plans.
  • Summarize, analyze and visualize study data to deliver results.
  • Provide statistical consultancy support across clinical development.

Skills

Medical statistics
Client engagement
SAS
R
Study design
Statistical analysis

Education

Bachelor's degree in mathematics, statistics, physics or related field
Master's or PhD preferred

Tools

SAS
R statistical software

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, and will have an internal job title of 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. 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:

Responsibilities
  • 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
  • Bachelors degree in mathematics, statistics, physics, pharmacology or with a strong statistical component, Masters 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 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.
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