Data Analyst

Promptly Health
1 year ago
Applications closed

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At Promptly Health (Permanent / Contractor), in United Kingdom
Expires at: 2025-06-09
Remote policy: Full remote
What’s Promptly in a nutshell
An end-to-end provider of Real-World Evidence solutions, generating new knowledge from high-quality harmonized datasets.
What’s our purpose
We exist to empower every patient and every health organization on the planet with evidence on the outcomes of care!
Why do we get up in the morning? Well, most healthcare professionals have chosen to work in healthcare driven by their desire to make a difference in patients’ lives. And so have we! We have chosen to follow this calling by addressing the biggest problem in healthcare: the lack of real-world evidence on the outcomes of care.
For us, society denying patients better care due to lack of access to data is unethical, in a world where technology improved so many aspects of our world. Making the right evidence available to healthcare organizations to help prevent one lost life, one care complication, one failed treatment is the moral obligation that big tech companies have – it’s our Hippocratic Oath.
At Promptly, everything we do is driven by our core purpose: to promote better healthcare at lower costs for patients every day, by making health outcomes available.
The Momentum
We are actively seeking aData Analyst for a temporary positionto join an RWE project. The role will involve the data analysis implementation in a structured secondary data. Your expertise could be instrumental to succeed in this exciting project. 
What you’ll be expected to do
  • Implement a data analysis for a RWE study
  • Being available for the analysis implementation and reporting, expected around Q1 2025 and Q1 2026.

Position
  • Temporary position
  • Full-time or part-time
  • Remote-first

Main requirements

Qualifications and work experience
  • Strong statistical knowledge;
  • Experience in implementing statistical analysis in health data;
  • Experience in registries database analysis (preferred);
  • Ability to understand results in an RWE context;
  • Strong knowledge and experience R code and Python for health data statistical analysis;
  • Statistical knowledge in standard techniques as logistic regression and survival analysis;
  • Advanced level in English (mandatory).

Benefits & Perks

What we offer
-A unique growth opportunity, being one of the first on a fast-growing team that will make healthcare better and have a significant impact in people’s lives
-Fantastic working environment, with a young and enthusiastic, and talented 40+ team coming from highly reputed players from Healthcare to Unicorn Startups, and leading Multinational
-Financial benefits
      Competitive salary
-Non-financial benefits
      Equal opportunity and inclusive environment
      Flexible work schedule

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