Study Design Statistician (Remote)
Company: MMS
Location: Dundalk
Posted on: February 21, 2026
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Job Description:
Job Description Job Description Are you looking to join a
company where your contributions truly matter, and where you'll be
part of a supportive, innovative team? MMS is a award-winning,
data-focused clinical research organization (CRO). We pride
ourselves on being a Great Place to Work certified organization,
recognized for our exceptional culture and industry best employee
retention rate. We support the pharmaceutical, biotech, and medical
device industries with our proven, scientific approach to complex
trial data and regulatory submission challenges. With a global
footprint across four continents, MMS not only maintains an
industry-leading customer satisfaction rating but also fosters a
collaborative and inclusive work environment where employees can
thrive. Join us at MMS and be part of a team that is shaping the
future of clinical research. Discover more about our exciting
opportunities and why MMS is a great place to advance your career.
Visit www.mmsholdings.com or follow MMS on LinkedIn. 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 . 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: 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-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.
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Keywords: MMS, Germantown , Study Design Statistician (Remote), Science, Research & Development , Dundalk, Maryland
