Job Description

The STAMPEDE trial (Systemic Therapy in Advancing or Metastatic Prostate Cancer: Evaluation of Drug Efficacy) is the world's largest therapeutic prostate cancer clinical trial and tested several new treatment approaches for people affected by locally advanced or metastatic prostate cancer. The trial recruited nearly 12,000 participants between 2005 and 2023. The Genito-Urinary Cancer Research (GUCR) group, co-led by Mr Ashwin Sachdeva and Professor Noel Clarke, has centralised radiological scans from several thousand patients recruited to this trial.


The post will be hosted within the GUCR group at Surgical Research Hub within the newly built Paterson Cancer Research Centre. You will be part of the multi-disciplinary GUCR team, which comprises research-active clinicians and academic researchers. The team is closely linked to the wider academic and clinical prostate cancer research environments within the University of Manchester and The Christie Hospital NHS Foundation Trust.


This is an exciting opportunity to participate in clinical research within an established multidisciplinary team with a track record in undertaking trial-related medical imaging research which has led to several changes in clinical practice globally. You will develop/expand your skill base in data acquisition, management and security and have the potential to conduct studies related to key clinical outcomes of interest.

Key Responsibilities, Accountabilities or Duties

Conduct and support research within the STAMPEDE imaging framework. This will involve the collection and management of large clinical data and samples for biomarker development. All data will be collected in accordance with data protection, confidentiality, ethical guidelines and research governance. Develop and implement standard operating procedures, prepare documentation, and assist in the preparation of written updates of study progress and associated manuscripts. Data entry, quality control, error reporting and cleaning of data prior to biomarker analysis. Implement chosen study designs and ensure effective delivery of all aspects of the study. Present study updates at team meetings, collaborator sessions, patient group meetings, or clinical/scientific meetings. Liaise with colleagues in other University departments and at other universities and hospitals, within the UK. Facilitate effective communication between all team members responsible for different aspects of the projects to ensure project targets are achieved. Organise own workload and set own deadlines using effective time management skills. Use professional knowledge to solve problems and use professional judgement to resolve difficult situations. Manage own professional development, keeping abreast of new developments within areas of expertise. Maintain up to date knowledge of Research Governance and GCP. Post holders are required to familiarise themselves with the University's Equality and Diversity policies and to actively support these wherever possible.

Essential Knowledge, Skills and Experience

Relevant experience of data administration within clinical research studies. Relevant experience, including successful outcomes, in similar academic, industry and/or NHS research environments. Expertise in computer literacy, MS Office packages and electronic databases. Proven excellence in handling and entering data including an understanding of data protection and confidentiality guidelines within data management. The ability to communicate effectively at all levels through multi-disciplinary collaborative teams. Effective time management skills including the ability to set and adhere to internally and externally agreed timelines. Good organisational and motivating skills with the ability to work independently but with supervision. Ability to use initiative to suggest solutions to problems and contribute towards a resolution.

Desirable Knowledge, Skills, Experience and Qualifications

Valid GCP training.

Excellent IT skills, including previous experience of using social media to disseminate research findings. Previous experience of working in an imaging research environment and use of DICOM images.

Data handling, analysis and visualisation skills with previous experience in using statistical programming languages (eg R, Python). Experience in generating publication-ready images for peer-reviewed manuscripts. Experience in building, maintaining or using databases (eg RedCap, Access, SQL).

What you will get in return:

Fantastic market leading Pension scheme Excellent employee health and wellbeing services including an Employee Assistance Programme Exceptional starting annual leave entitlement, plus bank holidays Additional paid closure over the Christmas period Local and national discounts at a range of major retailers


As an equal opportunities employer we welcome applicants from all sections of the community regardless of age, sex, gender (or gender identity), ethnicity, disability, sexual orientation and transgender status. All appointments are made on merit.


Our University is positive about flexible working you can find out more here


Blended working arrangements may be considered


Please note that we are unable to respond to enquiries, accept CVs or applications from Recruitment Agencies.

Enquiries about the vacancy, shortlisting and interviews:

Name: Fizzah Ali


Email: fizzah.ali@manchester.ac.uk

General enquiries:

Email: People.Recruitment@manchester.ac.uk

Technical support:

Jobtrain: 0161 850 2004 https://jobseekersupport.jobtrain.co.uk/support/home

This vacancy will close for applications at midnight on the closing date.

Please see the link below for the Further Particulars document which contains the person specification criteria.