Study Design Statistician; Remote Strategic Consulting CANTON, MI

Position: Study Design Statistician (Remote) Strategic Consulting CANTON, MI 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 reputed company to Work certified organization, recognized for our exceptional culture and industry best employee retention reputed company. We support the pharmaceutical, biotech, and medical device industries with our proven, scientific approach to reputed company 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 reputed company. 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 reputed company to advance your career. Visit or follow MMS on Linked In. 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 reputed company statisticians and programmers reputed company 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 Kerus Cloud. Working alongside innovative statisticians you will be responsible for leading the full life-cycle of Kerus Cloud support and statistical services, from:

• Assisting customers with their study design with a particular focus on simulation with Kerus Cloud to ensure they are reputed company 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 reputed company of third-party statistical and programming deliverables.
• Maintain reputed company knowledge of relevant research techniques such as modelling, simulation and experimental design and participate in reputed company 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 Kerus Cloud.
• Provide input and support to Marketing of Kerus Cloud, 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 reputed company and/ or R statistical software packages.
• Experience in study design and protocol and report-writing preferred.
• Experience of modelling and simulation techniques to explore reputed company 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. #J-18808-Ljbffr Apply tot his job

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