Data Science Expert in Cancer Research

9 hours ago


Sutton Coldfield, Birmingham, United Kingdom The Institute of Cancer Research Full time

As a key member of our dynamic research team at The Institute of Cancer Research, you will play a crucial role in advancing our understanding of cancer and its prevention. We are seeking an experienced Data Engineer/Wrangler to join our Integrative Epidemiology Team and Clinical Epidemiology Team.

We have a prestigious program of research based on the ongoing Generations Study, a national study of over 110,000 women from the UK. You will be working with large-scale datasets in epidemiological studies to investigate the causes of cancer, understand carcinogenic processes, and improve risk assessment for precision prevention.

The successful candidate must have a Master's degree in epidemiology, biostatistics, or data science and proven experience in data engineering/wrangling, or data management, ideally with complex datasets in biomedical, epidemiological, or public health contexts.

This is an exciting opportunity to develop end-to-end data management and processing solutions, according to FAIR principles, to support efficient and secure research data re-use. You will work closely with epidemiologists, statisticians, data scientists, and data managers to ensure data readiness for research.

Our teams use integrative analyses of large-scale data in epidemiological studies to investigate the causes of cancer and understand carcinogenic processes. We also access medical records to collect information on cancer screening and treatments. Our scientific staff comprise epidemiologists, statisticians, and data scientists who collaborate with researchers around the world.

You will work within our newly formed Cancer Epidemiology and Prevention Research Unit, a research partnership between The ICR and Imperial College London. This collaboration aims to establish partnerships in research, training, and knowledge dissemination in cancer epidemiology and prevention.

**Key Requirements:**

  • Master's degree in epidemiology, biostatistics, or data science
  • Proven experience in data engineering/wrangling or data management
  • Familiarity with large-scale datasets in biomedical, epidemiological, or public health contexts

**Estimated Salary: £60,000 - £80,000 per annum**, depending on experience. We offer a competitive benefits package, including a pension scheme, generous annual leave, and opportunities for professional development. Join us in our mission to conquer cancer.



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