Statistician - London, United Kingdom - PE Global
Description
PE Global is currently recruiting for a Statistician (RWE) for an initial 12-month contract role with a leading multinational biotech client based in Bracknell - hybrid role.
Responsibilities:
- Operate in collaboration with scientist in design studies and write protocols for the conduct of research projects.
- Assist in or be accountable for selecting statistical methods for data analysis, authoring the corresponding sections of the protocol and the statistical analysis plan, and conducting the actual analysis once a reporting database is created.
- Collaborate with data sciences in the planning and implementation of data quality assurance plans.
- Influence team members regarding appropriate research methods
- Perform peerreview of work products from other statistical colleagues.
- Collaborate with team members to write reports and communicate results.
- Assist with, or be responsible for, communicating study results via regulatory submissions, manuscripts, or oral presentations in group settings, as well as for communicating oneonone with key customers and presenting at scientific meetings.
- Support responses to regulatory queries and/or regulatory interactions.
- Understand disease states, competitive landscapes, and regulatory environment in order to enhance the level of customer focus and collaboration and be seen as a strong scientific contributor.
- Perform work in full compliance with assigned curriculum(s) and will be responsible for following applicable Corporate, Medical, local, and departmental policies, procedures, processes, and training.
- Merge scientific thinking and business knowledge to identify issues, evaluate options and implement solutions.
Requirements:
- Qualified Statistician (MSc, Ph.
at least 3 years of experience in the pharmaceutical industry.
- Proficient in statistical programming languages/software such as SAS and/or R.
- Proven experience in conducting and analyzing realworld evidence studies (prospective & retrospective observational study, electronic medical records, claim database ), and/or large database.
- Prior experience in Rheumatology, Dermatology, or Gastroenterology would be an added value (but not mandatory).
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