Hybrid Cancer Data Officer: Epidemiology & Real-World Data in Sutton

Hybrid Cancer Data Officer: Epidemiology & Real-World Data in Sutton

Sutton Full-Time 35000 - 42000 Β£ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Clean and integrate diverse cancer data to support groundbreaking research.
  • Company: Join the Institute of Cancer Research, a leader in cancer studies.
  • Benefits: Gain valuable experience in a supportive, multidisciplinary team environment.
  • Other info: Collaborate with experts and contribute to impactful projects.
  • Why this job: Make a real difference in cancer research while developing your data skills.
  • Qualifications: Experience with data management and a passion for cancer research.

The predicted salary is between 35000 - 42000 Β£ per year.

The Institute of Cancer Research is seeking a Cancer Research Data Officer (CD3) to join the Integrative Epidemiology Team on Sutton campus. You will clean, transform and integrate multi-source epidemiological and real-world data to enable research readiness and secure data processing in a multidisciplinary environment. The role emphasizes FAIR data principles, data infrastructure development, and collaboration with epidemiologists, statisticians and data managers to advance cancer research.

Hybrid Cancer Data Officer: Epidemiology & Real-World Data in Sutton employer: THE INSTITUTE OF CANCER RESEARCH

The Institute of Cancer Research is an exceptional employer, offering a dynamic work environment in Sutton, Surrey, where innovation and collaboration thrive. With a strong commitment to employee growth, we provide access to exclusive benefits and flexible working options, ensuring a healthy work-life balance. Our dedication to diversity and inclusion fosters a culture where every voice is valued, making it a rewarding place for professionals passionate about advancing cancer research.

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Contact Details:

THE INSTITUTE OF CANCER RESEARCH Recruitment Team

We think you need these skills to ace Hybrid Cancer Data Officer: Epidemiology & Real-World Data in Sutton

Data Cleaning
Data Transformation
Data Integration
Epidemiological Data Analysis
FAIR Data Principles
Data Infrastructure Development
Collaboration Skills