Research Associate - Statistician

London (Greater)
£38,826 -£45,649 per annum, including London Weighting Allowance
05 Jul 2022
End of advertisement period
12 Jul 2022
Academic Discipline
Clinical, Pre-clinical & Health
Job Type
Research Related
Contract Type
Fixed Term
Full Time

Job description

The Role

You will be part of a highly collaborative and inclusive team, working primarily on analyses of cancer screening data and studies in cancer prevention. This will involve evaluation of cancer screening programmes and cancer registration data. You will have a strong interest in epidemiology, a good understanding of statistical methods and fluency in using statistical software (e.g. R, Stata).


The post is funded from a Cancer Research UK programme grant on cancer screening and statistics. The aim of the programme is to provide insights that will improve cancer screening and prevention, and promote early diagnosis.


You will report to and be supervised by Dr Milena Falcaro (Senior Statistician) and will work closely with epidemiologists.


The Cancer Prevention Group

You will work in a dynamic, supportive research team of around 50 members led by Professor Peter Sasieni. The Cancer Prevention Group (CPG) conduct impactful, policy-relevant research to drive meaningful change and advances in cancer prevention, early diagnosis and screening. Many CPG projects are high-profile and at the cutting edge of research in the field including projects such as the NHS-Galleri Trial, YouScreen, evaluation of the HPV primary screening pilot and other internationally recognised real-world data projects.


The CPG is part of the School of Cancer & Pharmaceutical Studies and is divided into five cross-cutting sub-teams: statistics, experimental epidemiology, observational epidemiology, behavioural science and clinical trials. Group members collaborate in cancer screening research internationally and have substantial expertise in epidemiology, clinical studies, use of routine registries and databases, as well as related statistical methodologies.


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Professional Development Opportunities

You will have the opportunity to contribute to the formulation and submission of research publications (e.g applied analyses or methodological development) and research proposals, helping you to progress in your research career. We value your professional growth and you will have opportunities to attend conferences and training.


This post will be offered on an a fixed-term contract until 31st March 2024

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


Key responsibilities

•       With support from senior colleagues, to take responsibility for the statistics of several studies. This will include some or all of: contributing to study design, data manipulation, writing statistical analysis plans, undertaking statistical analyses, interpretation of results and solving statistical problems that may arise.

•       To provide statistical advice and support to team members who are not statisticians.

•       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.

•       To contribute actively to team meetings presenting own work and to communicate conceptual and complex ideas to non-statistical colleagues and students.

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

•       To work both independently in planning day-to-day activities (in accordance with project deadlines as agreed with your supervisor) and collaboratively as part of a multidisciplinary research team.

•       To participate in the intellectual programme of the School of Cancer & Pharmaceutical Sciences.

•        Any other duties appropriate to the grade as directed by the Head of the Cancer Prevention Group.


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.      PhD with high statistics content or have equivalent experience

3.      A solid understanding of statistical concepts

4.      Excellent IT skills and proficiency in using statistical software (e.g. Stata or R)

5.      Willingness to learn new software (e.g. Stata if not already known) and advanced statistical methods

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

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

8.      High level of accuracy and attention to detail

9.      Highly motivated, hardworking, adaptable and adept at problem-solving

10.   Ability to work both independently (prioritizing your own schedule without supervision) and as part of a multidisciplinary team


Desirable criteria

1.      Good knowledge of at least one programming language (e.g. C++ or Stata/Mata)

2.      Experience working as a statistician in a research environment

3.      Familiarity with advanced statistical techniques (e.g. causal inference, competing risks models and methods for missing values}

4.      Peer-reviewed publications


Please note that this is a PhD level role but candidates who have submitted their thesis and are awaiting award of their PhDs will be considered. In these circumstances the appointment will be made at Grade 5, spine point 30 with the title of Research Assistant. Upon confirmation of the award of the PhD, the job title will become Research Associate and the salary will increase to Grade 6.

Further information

This post is based at Guy’s Campus, London Bridge, but hybrid-remote working will be considered until further notice.

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