Research Assistant in Statistics (The CRUK & King’s Cancer Prevention Trials Unit)

London (Greater) (GB)
£33,114 - £37,804 per annum, including London Weighting Allowance
05 May 2022
End of advertisement period
26 May 2022
Job Type
Research Related
Contract Type
Fixed Term
Full Time

Job description

About us:  

The Cancer Research UK & King’s College London Cancer Prevention Trials Unit (CPTU) specialises in research to advance cancer prevention, early diagnosis and screening.  We perform research on efficacy, cost-effectiveness and technologies to improve existing and establish new screening programmes.


Our portfolio of both secondary (hospital) and primary (community) care trials includes:

•             Multi-centre international randomised controlled trials of medicinal prevention of cancer often using drug re-purposing

•             Pragmatic trials of screening and diagnostic interventions

•             Trials of behavioural interventions in cancer prevention and screening

•             Trials of diagnostic/screening devices


We currently have exciting projects in prevention and early detection of prostate, bladder and cervical cancer often undertaken in collaboration with leading experts and research bodies across the UK.  The unit is led by Professor Peter Sasieni and is part of the Cancer Prevention Group (CPG) and their multi-million pound research portfolio.  Many CPG projects are high-profile and at the cutting edge of research in the field including clinical research projects such as the  NHS-Galleri Trial, and  YouScreen and internationally recognised real-world data projects.   


About the role:

We are looking for an enthusiastic junior trial statistician to join the expanding CPTU team to provide statistical support for our cancer screening, prevention and early detection research projects.


The successful applicant will join the CRUK & King’s College London Cancer Prevention Trials Unit under the leadership of Professor Sasieni. 


The post holder will be a statistician with a recent postgraduate degree in statistics and a strong interest in clinical trials.  You will be primarily working on analyses of data from cancer screening trials and other studies in cancer prevention. This will require a good understanding of statistical methods and fluency in using statistical software (e.g. R and/or Stata). You will have excellent organisational and planning skills with an intrinsic interest in improving the health and well-being of communities through translational research and evidence-based innovation. 


You will be involved in statistical activities for major projects, supporting the development of trial protocols and statistical analysis plans, assisting in the preparation of reports, including production of the tables, listings, and figures (TLFs), for data monitoring committees and carrying out interim and main statistical analyses under the supervision of a senior statistician.   


Contributions to applied analyses or methodological development will be recognised through authorship on publications. Opportunities will also be provided for further professional development. 


The person appointed will report to and be supervised by Dr Bernard North, Senior CPTU Statistician, and will work closely with trial teams and data managers. 

We currently follow hybrid working practices.  Please contact us for more details. 


This post will be offered on an a fixed-term contract for 24 months in the first instance. 

This is a full-time  post - 100% full time equivalent


Key responsibilities

•       To contribute to study design, data manipulation, writing statistical analysis plans, undertaking statistical analyses, interpretation of results and solving statistical problems that may arise. 

•       To contribute to the preparation of clinical study reports 

•       To contribute to the writing and publication of high-quality papers in peer-reviewed literature and the dissemination of research findings. 

•       To maintain accurate written and computerised records and to maintain confidentiality of all electronically stored personal data in line with relevant information governance policies and ensure confidentiality on all matters and information obtained during the course of employment. 

•       To contribute to the development and dissemination of sound methodology appropriate to the group’s portfolio of studies.  

•        Work, where applicable, with the Sponsor, Chief Investigator(s), grant co-applicants, data managers, monitors, clinicians, statisticians and trial oversight committees and external agencies on a daily basis to ensure the project milestones are met 

•        Support  the development of statistical procedures for the conduct of the protocol 

•        Ensure that the trial protocol is conducted in accordance with the applicable ethical, regulatory and quality standards and that appropriate records and audit trails are maintained  

•        Prepare trial reports as required 

•        Work closely with the trial and data managers to ensure timely data entry and cleaning and to ensure satisfactory resolution 

•        Approve case report forms to ensure all relevant data is collected to answer the research objectives 

•        Support the data managers to decide what steps need to be taken to correct any missing, contradictory or incorrect data and ensure that these problems are followed through to a satisfactory conclusion within a reasonable timescale 

•        Ensure that the collection of trial data is complete, accurate and up to date for analysis according to agreed deadlines.  

•       The post-holder will be expected to work both independently in planning day-to-day activities (in accordance with the projects’ deadlines as agreed with their supervisor) and as part of a multidisciplinary research team. 

•        Any other duties appropriate to the grade as directed by the line manager and CPTU Head of Operations 


The above list of responsibilities may not be exhaustive, and the post holder will be required to undertake such tasks and responsibilities as may reasonably be expected within the scope and grading of the post.

Skills, knowledge, and experience 

Essential criteria 

1.      Degree-level qualification in statistics, mathematics or with a substantial statistical and data analysis content 

2.      A solid understanding of statistical concepts especially when applied to biomedical research and ability to learn additional advanced statistical methods. 

3.      An interest in medical research and clinical trial design, conduct, analysis and interpretation 

4.      Excellent written and verbal communication skills, including ability to convey statistical concepts to a non-statistical audience 

5.      Proficiency in using statistical software (ideally Stata or R) and willingness to learn new software (e.g. Stata if not already known). 

6.      Experience in manipulating data sets and in analysing research data 

7.      High level of accuracy and attention to detail 

8.      Highly motivated, hardworking, adaptable, problem-solving with a high level of accuracy and attention to detail 

9.      Ability to work both independently and as part of a multidisciplinary team 

10.    Peer-reviewed publications 


Desirable criteria 

1.      PhD with high statistics content or have equivalent experience 

2.      Experience working as a statistician in a research environment (academic or commercial) 

3.      Knowledge of genetic or epigenetic data. 

4.      Knowledge of cancer diagnostic and treatment pathways and data repositories.


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