Real World Evidence Associate Consultant β€” Hybrid London

Real World Evidence Associate Consultant β€” Hybrid London

London Full-Time 35000 - 45000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Design and analyse studies using electronic healthcare records and claims data.
  • Company: LCP’s Health team, known for its innovative approach in healthcare.
  • Benefits: Hybrid working, competitive salary, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on supporting clients and teams.
  • Why this job: Make a real impact in healthcare by leveraging data science and epidemiology.
  • Qualifications: Background in epidemiology or data science with programming skills in R/SQL/Python.

The predicted salary is between 35000 - 45000 Β£ per year.

LCP’s Health team in London or Winchester offers an exciting Real World Evidence Associate Consultant role with hybrid working (minimum 2 days in the office per week).

You will design and analyse studies using electronic healthcare records, registries and claims data.

We seek rigorous backgrounds in epidemiology or data science, with programming in R/SQL/Python and strong communication to support clients and multi-disciplinary teams.

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Real World Evidence Associate Consultant β€” Hybrid London employer: Lane-Clark-

LCP is an exceptional employer, offering a vibrant and inclusive work culture in the heart of London. As a certified B-Corp and multi-award-winning consultancy, we prioritise employee wellbeing with a comprehensive benefits package, including professional development opportunities, flexible working arrangements, and a strong commitment to diversity. Join us to be part of a collaborative team that values your contributions and supports your growth in the dynamic field of pensions investment.

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Contact Details:

Lane-Clark- Recruitment Team

We think you need these skills to ace Real World Evidence Associate Consultant β€” Hybrid London

Epidemiology
Data Science
R Programming
SQL
Python
Study Design
Data Analysis