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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.
Job 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.
Maintain currency with respect to statistical methodology, maintain proficiency in applying new and varied methods, and to be competent in justifying methods selected.
Influence team members regarding appropriate research methods
Perform peer-review 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 one-on-one 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.
Introduce and apply innovative methodology and tools to solve critical problems
Merge scientific thinking and business knowledge to identify issues, evaluate options and implement solutions.

Requirements
Qualified Statistician (MSc, Ph.D). in Statistics OR Biostatistics with 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 real-world 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).
Technical expertise and application with working knowledge of experimental design and statistical analysis.

Interested candidates should submit an updated CV.
Please click the link below to apply, call Veronica on (phone number removed) or alternatively send an up to date CV to [Apply online]
***Please note our client cannot assist with any visa sponsorship and candidates must have the correct visa to live and work in UK***

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