Ref Number
B02-11047
Professional Expertise
Research and Research Support
Department
School of Life & Medical Sciences (B02)
Location
London
Working Pattern
Full time
Salary
£43,981-£54,019
Contract Type
Permanent
Working Type
Hybrid
Available for Secondment
No
Closing Date
24-Aug-2026
The Cancer Research UK & UCL Cancer Trials Centre (CTC) is a UKCRC registered and NCRI Clinical Trials Unit group member: https://www.ctc.ucl.ac.uk/
It is one of the largest cancer trials centres in the UK, with more than 115 members of staff managing >80 research studies. The CTC conducts clinical studies in oncology, both nationally and internationally, with a cross-disciplinary approach to evaluate anti-cancer treatments, and investigate methods of diagnosis and early detection.
The CTC is based in central London, and offers a great working environment, in terms of both the people and the location.
We have an exciting opportunity for you to join a dynamic team of statisticians at one of the largest cancer clinical trials units in the UK.
As a Grade 7 Medical Statistician, your role would first and foremost be about working as a clinical trial statistician, from trial concept to completion.
This involves collaborating with investigators on designing a study to answer specific research questions, including calculating the appropriate sample size, helping to write grant applications and trial-specific documentation such as the protocol and statistical analysis plan, and designing case report forms to collect patient data.
While the trial is recruiting, you will analyse emerging data and create reports for data monitoring and trial management group meetings. Once the trial has completed, you will take the lead role in analysing the final trial datasets. Importantly, you would be closely involved in writing papers for publication in medical journals, where you will be a named author.
The CTC offers hybrid working for all staff, with a minimum of 60% FTE office attendance required for this post (3 days per week for full time staff), along with many other benefits. All staff are provided with excellent training opportunities, and the CTC team actively encourages ongoing personal development and learning.
This is a full-time, open-ended post, funded for 1 year in the first instance. Appointments are usually made at the beginning of the salary scale.
The post holder will have practical experience of using statistical methods for the design and analysis of medical research studies/clinical trials (preferably in cancer), including survival analyses. Knowledge of one or more statistical analyses packages, e.g.STATA, SAS is essential.
As well as the exciting opportunities this role presents, we also offer some great benefits some of which are below:
• 41 Days holiday (27 days annual leave 8 bank holiday and 6 closure days) • Additional 5 days’ annual leave purchase scheme • Defined benefit career average revalued earnings pension scheme (CARE) • Cycle to work scheme and season ticket loan • Immigration loan • On-Site nursery • On-site gym • Enhanced maternity, paternity and adoption pay • Employee assistance programme: Staff Support Service • Discounted medical insurance
Visit https://www.ucl.ac.uk/work-at-ucl/reward-and-benefits to find out more.
As London’s Global University, we know diversity fosters creativity and innovation, and we want our community to represent the diversity of the world’s talent. We are committed to equality of opportunity, to being fair and inclusive, and to being a place where we all belong.
We therefore particularly encourage applications from candidates who are likely to be underrepresented in UCL’s workforce.
These include people from Black, Asian and ethnic minority backgrounds; disabled people; LGBTQI+ people; and for our Grade 9 and 10 roles, women.
Our department holds an Athena SWAN Gold award, in recognition of our long-term commitment and 'beacon' status in advancing gender equality.
You can read more about our commitment to Equality, Diversity and Inclusion here : https://www.ucl.ac.uk/equality-diversity-inclusion/
