Data Manager in Oxford

Data Manager in Oxford

Oxford Full-Time 30000 - 40000 £ / year (est.) No working from home possible
Corehr

At a Glance

  • Tasks: Manage and analyse clinical trial data to support groundbreaking cancer research.
  • Company: Join the University of Oxford's leading Oncology Clinical Trials Office.
  • Benefits: Enjoy 38 days annual leave, childcare services, and discounted travel.
  • Other info: Flexible working options and a commitment to diversity and inclusion.
  • Why this job: Make a real difference in cancer detection and treatment while developing your skills.
  • Qualifications: Degree in biomedical or related field; experience in clinical trials is a plus.

The predicted salary is between 30000 - 40000 £ per year.

Department of Oncology, Oncology Clinical Trials Office (OCTO), Level 2, Cancer & Haematology Department, Churchill Hospital, Headington, Oxford, OX3 7LE

About the role

We have an exciting opportunity for a Data Manager to join the Oncology Clinical Trials Office (OCTO). OCTO, part of the University of Oxford's Department of Oncology, is a leader in early cancer detection, precision prevention, and therapy trials, delivering high-quality academic clinical research. As a Data Manager, you will provide support and advice across clinical trials and studies requiring the capture, storage, management, review, and reporting of clinical research data. You will work closely with database programmers, trial management teams, investigators, statisticians, and external collaborators to develop appropriate data collection tools and documentation. You will contribute to monitoring the completeness, accuracy, consistency, and validity of trial data, ensuring that datasets specified for each trial meet the standards of quality expected with particular consideration of the requirements of GCP as well as the UK clinical trials and data protection legislation. This post is based at the Oncology Clinical Trials Office (OCTO), Level 2, Cancer & Haematology Department, Churchill Hospital, Headington, Oxford, OX3 7LE and is offered on a full-time (80% worked over no fewer than 4 days will be considered), fixed-term basis for 2 years. An early start date is essential for this role.

About you

You will hold a degree or equivalent qualification in a biomedical, scientific, statistical, or allied field, or have equivalent experience working in clinical trials/research studies. You will have experience of working in clinical trials/research studies with particular experience in handling clinical trial data (to include Clinical Trials of Investigational Medicinal Products (CTIMPs)). You will have knowledge and experience in developing, managing, and maintaining processes and systems for the collection of clinical trial data including entry, processing, validation, and be familiar with electronic data capture systems, ideally REDCap and/or OpenClinica. You will be organised, analytical, and able to work independently, prioritise tasks, and communicate effectively with colleagues and collaborators.

What We Offer

As an employer, we genuinely care about our employees’ wellbeing and this is reflected in the range of benefits that we offer including:

  • 38 days annual leave inclusive of bank holidays (pro rata for part time)
  • A comprehensive range of childcare services
  • Family leave schemes
  • Discounted bus travel and Season Ticket travel loans
  • Membership to a variety of social and sports clubs

You will be required to upload a supporting statement (setting out how you meet the selection criteria), a curriculum vitae and the names and contact details of two referees as part of your online application. Only applications received by 12:00PM on Monday, 13th July 2026 can be considered.

Committed to equality and valuing diversity

We welcome applications from individuals from all backgrounds, including those under-represented within higher education. No applicant or members of staff shall be unlawfully discriminated against on the basis of age, disability, gender reassignment, marriage or civil partnership, pregnancy or maternity, race, religion or belief, sex, or sexual orientation.

Data Manager in Oxford employer: Corehr

The University of Oxford's Department of Oncology offers a supportive and inclusive work environment, prioritising employee wellbeing with generous benefits such as 38 days of annual leave and access to childcare services. As a Data Manager within the Oncology Clinical Trials Office, you will be part of a pioneering team dedicated to advancing cancer research, with ample opportunities for professional growth and collaboration in a vibrant academic setting located in the heart of Oxford.

Corehr

Contact Details:

Corehr Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Manager in Oxford

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We think you need these skills to ace Data Manager in Oxford

Communication Skills
Problem-Solving Skills
SQL
Python
Data Engineering
ETL/ELT Processes
Data Pipeline Development

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

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Craft a Tailored Cover Letter:For a full-time role at Corehr, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Corehr. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Corehr

Brush Up on Your Statistics

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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

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Prepare for Case Studies

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