Data Manager

Data Manager

Full-Time 46618 - 46618 £ / year (est.) Home office (partial)
Queen Mary University of London

At a Glance

  • Tasks: Manage and analyse clinical data to support vital research projects.
  • Company: Join Queen Mary University of London, a leader in academic excellence and diversity.
  • Benefits: Enjoy competitive salary, generous leave, and flexible working options.
  • Other info: Be part of a diverse team committed to social justice and innovation.
  • Why this job: Make a real impact on health research while developing your skills.
  • Qualifications: Experience with clinical data and knowledge of research regulations required.

The predicted salary is between 46618 - 46618 £ per year.

About the Role

The East London Sickle Cell Cohort Study is a long-running observational study of patients managed by Barts Health NHS Trust and the East London and Essex Clinical Haemoglobinopathy Network. The study maintains a dedicated database of longitudinal clinical data to support research into disease outcomes, treatment responses, and predictors of disease severity. Based at the Royal London Hospital, with some remote working flexibility, you will support data management, analysis, and project coordination alongside clinical investigators and NHS data teams.

About You

We are looking for a motivated and organised individual with experience handling clinical data and an understanding of central data monitoring and research governance. You will have knowledge of clinical study regulations, including ICH GCP, UK GDPR, and the Data Protection Act 2018, and be able to manage competing priorities while communicating effectively with a range of stakeholders. You will be committed to continuous professional development, take ownership of your work, and contribute positively to team objectives.

About the School/Department/Institute/Project

The Faculty of Medicine and Dentistry at Queen Mary University of London comprises six institutes, including the Blizard Institute- one of the largest, with around 420 staff, £60m annual turnover, and over £20m in research expenditure.

Benefits

  • We offer competitive salaries
  • Access to a generous pension scheme
  • 30 days' leave per annum (pro-rata for part-time/fixed-term)
  • A season ticket loan scheme
  • Access to a comprehensive range of personal and professional development opportunities
  • A range of work life balance and family friendly, inclusive employment policies
  • Flexible working arrangements

Queen Mary's commitment to our diverse and inclusive community is embedded in our appointments processes. Reasonable adjustments will be made at each stage of the recruitment process for any candidate with a disability. We are open to considering applications from candidates wishing to work flexibly.

Data Manager employer: Queen Mary University of London

Queen Mary University of London is an exceptional employer, offering a vibrant work culture that fosters collaboration and innovation within the Business Development team. Employees benefit from competitive salaries, flexible working arrangements, and ample opportunities for professional growth, making it an ideal place for those seeking meaningful and rewarding careers in a supportive academic environment.

Queen Mary University of London

Contact Details:

Queen Mary University of London Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Manager

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Apply Directly through Our Website

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We think you need these skills to ace Data Manager

Data Management
Clinical Data Handling
Central Data Monitoring
Research Governance
ICH GCP Knowledge
UK GDPR Knowledge
Data Protection Act 2018 Knowledge

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 Queen Mary University of London, 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 Queen Mary University of London. 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 Queen Mary University of London

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

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Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Queen Mary University of London!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.