Senior Research Scientist - Cancer Analytics & Outcomes

Senior Research Scientist - Cancer Analytics & Outcomes

Full-Time 54000 - 66000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Lead innovative cancer analytics projects and develop advanced methods for NHS improvement.
  • Company: Renowned institution focused on global health and impactful research.
  • Benefits: Competitive salary, professional development, and opportunities to influence healthcare.
  • Other info: Collaborative environment with a focus on meaningful health outcomes.
  • Why this job: Make a real difference in cancer care through data-driven insights.
  • Qualifications: Doctoral degree in medical statistics or related field with experience in large datasets.

The predicted salary is between 54000 - 66000 Β£ per year.

The London School of Hygiene & Tropical Medicine (LSHTM) invites applications for a senior statistician/epidemiologist/data scientist to lead NATCAN activities. You will engage with clinicians and stakeholders, developing advanced analytical methods to convert national cancer data into actionable evidence to improve NHS cancer care.

Applicants should hold a doctoral degree in medical statistics or related field and have substantial experience analysing large datasets, with a capability to work.

Senior Research Scientist - Cancer Analytics & Outcomes employer: London School of Hygiene & Tropical Medicine

The London School of Hygiene & Tropical Medicine is an exceptional employer, offering a collaborative work culture that prioritises employee development and growth. As a Finance Business Partner, you will not only contribute to impactful financial strategies but also have the opportunity to lead and mentor high-performing teams in a vibrant academic environment in London, making your role both meaningful and rewarding.

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Contact Details:

London School of Hygiene & Tropical Medicine Recruitment Team

We think you need these skills to ace Senior Research Scientist - Cancer Analytics & Outcomes

Statistical Analysis
Epidemiology
Data Science
Analytical Methods Development
Large Dataset Analysis
Communication with Clinicians and Stakeholders
Actionable Evidence Generation