Description
Your new role
You will be supporting a number of studies focused on HTA / Observational & late phase clinical development projects, working closely with clinical colleagues, senior stakeholders and programmers to provide comprehensive expertise, analysis, interpretation, and understanding of data.
Major responsibilities will include:
- Statistical analysis of large real world and late phase trial data sets;
- Statistical method development and optimisation;
- Supporting late phase / HTA submission teams on the analysis and interpretation of data;
- Working on multiple concurrent projects.
What you'll need to succeed
As well as a good technical background within statistics, you should have very strong analysis and data interpretation skills and exposure to late phase clinical / observational research and/or HTA submissions.
Candidates should have:
- An MSc (or equivalent experience) within statistics, biostatistics, mathematics, informatics or related discipline. Candidates with higher degrees, ie PhD are preferred;
- A track record of method development or innovation within statistics/biostatistics;
- Experience of late phase / observational / real-world research, ideally with knowledge of HTA processes or submissions;
- A good knowledge of programming languages, such as R or SAS.