Manager, Biostatistics - Remote (UK) at MMS in London, England, GB

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 http://www.mmsholdings.com or follow MMS on LinkedIn.

The focus of this role includes:

• Work with Director of Biostatistics and rest of management team to manage clinical trial programs/projects or submissions from one or multiple clients. Provide day to day technical and operational leadership to project teams supporting these programs/projects.
• Coach, mentor, develop, provide technical review, advice and expertise to Biostatisticians assigned to the programs/projects
• Lead statistical and programming teams and interact with clients and/or internal project leaders to plan and implement statistical and programming project plans, and deliver quality deliverables.
• Ensure sound statistical methodologies in the study design, sample size estimation, statistical analysis planning, data handling, statistical modeling and testing, analysis and reporting.
• Write Statistical Analysis Plans, Statistical Reports, and statistical methodologies sections of Clinical Study Reports. Perform peer review of SAPs and other technical documents written by others.

The knowledge, skills and experience required for this role include:

• A Ph.D. degree in statistical science, mathematical analysis or related fields with at least 5 year’s relevant experience or a Master’s degree in these fields with at least 8 year’s relevant experience, with demonstrated exceptional ability and performance.
• Significant contribution, outstanding and sustained performance may be used in lieu of the requirement on the number of years of relevant experience.

Please consider your application unsuccessful if we do not reach out to you within 14 days of your submission.