Job Description

The Royal Marsden NHS Foundation Trust has an exciting opportunity for a passionate and dedicated Lead/Principal Statistician to Join our Clinical Trials Unit. This role offers an exciting opportunity to Lead a team in applying innovative statistical approaches.



The Royal Marsden has a vital role in championing change and improvement in cancer care through research and innovation, education, and leading-edge practice. We are incredibly proud of our international reputation for pushing the boundaries and for our ground-breaking work ensuring our patients receive the very best and latest in cancer treatment and care. RM CTU is a UKCRC accredited clinical trials unit, with a wide-ranging portfolio of cancer research trials across multiple tumour groups. Our UKCRC accreditation indicates RM CTU as a centre of excellence with a strong track record of coordinating multi-centre trials, expert staff to develop studies, robust quality assurance systems and evidence of long-term viability of capacity for trial management. We would welcome your application.



RM CTU is a UKCRC accredited clinical trials unit, with a wide-ranging portfolio of cancer research trials across multiple tumour groups. Our UKCRC accreditation indicates RM CTU as a centre of excellence with a strong track record of coordinating multi-centre trials, expert staff to develop studies, robust quality assurance systems and evidence of long-term viability of capacity for trial management.



Our unique feature among our CTUs is that our trial management expertise is aligned with and integrated with our clinical knowledge and expertise at The Royal Marsden. This is a senior management post within the Clinical Research Directorate. The post-holder will work jointly with the Head of Clinical Trial Management, to oversee the statistical, database programming and management of all RM Sponsored, and where we act as a CRO for interventional clinical trials, within the RM CTU and across the tumour-specific clinical units



The Royal Marsden NHS Foundation Trust is a world-leading cancer centre. Our role is to offer our patients the best cancer care available anywhere in the world, and to continue to make a global contribution to finding better ways of diagnosing and treating cancer. We employ over 4,500 staff in a diverse range of careers including nursing, medical, science, radiography, pharmacy, occupational therapy, finance and administrative services. We have two hospitals - one in Chelsea, London, and one in Sutton, Surrey - as well as a Medical Daycare Unit in Kingston Hospital.



At The Royal Marsden, we deal with cancer every day, so we understand how valuable life is. When people entrust their lives to us, they have the right to demand the very best. That's why the pursuit of excellence lies at the heart of everything we do.



At the heart of the hospital is our dedicated team. We offer a stimulating and dynamic working environment, a wide range of staff benefits, learning and development opportunities and clear career pathways. There are opportunities to work flexibly across a range of areas and specialities and we welcome flexible working requests from point of hire to support employees work life balance. We are looking for employees who aspire to excellence, share our values and can play a crucial role in our on-going achievements.



For further information on this role, please see the attached detailed and Person Specification:



To lead the statistical team so they can provide expert advice to investigators on complex clinical trial designs and novel and standard statistical methodologies, i.e. adaptive designs, dose-response model selection and analysis, Bayesian methods, biomarker studies.



To promote the use of statistical concepts within research across the Trust.



To ensure the statistical service delivered is efficient, effective, and compliant to all applicable regulations.



Take responsibility for our database and its development needs.



To write and maintain the statistical section of protocols and statistical analysis plans, advising the most appropriate statistical methods