At a Glance
- Tasks: Lead data management in genomics, ensuring accuracy and governance across clinical and research domains.
- Company: Join Genomics England, a leader in genomic research and data management.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and compliance.
- Why this job: Make a real impact in genomics by shaping data capabilities and improving quality.
- Qualifications: Experience in data management and knowledge of DAMA/DMBOK principles required.
The predicted salary is between 60000 - 80000 £ per year.
Genomics England is seeking a Senior Data Manager to lead data management across clinical and research domains, ensuring data accuracy and governance at scale. You will work with engineers, analysts and researchers to standardise processes and improve data quality, drawing on DAMA/DMBOK principles. You will shape the Genomic Research Dataset capability, oversee metadata and catalogues, and partner with internal teams to ensure data is trusted, discoverable and compliant with regulatory requirements.
Senior Data Manager — Genomics & Research Data Leadership in London employer: Genomics England
Genomics England is an exceptional employer, offering a dynamic and inclusive work environment in the heart of Cambridge, Leeds, or London. With generous leave policies, flexible working arrangements, and a strong commitment to employee development, we empower our Genomic Data Scientists to thrive both personally and professionally while contributing to groundbreaking cancer research. Our focus on diversity and well-being ensures that every team member feels valued and supported in their journey.
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We think this is how you could land Senior Data Manager — Genomics & Research Data Leadership in London
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We think you need these skills to ace Senior Data Manager — Genomics & Research Data Leadership in London
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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✨Brush Up on Your Statistics
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✨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.
