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RWE Associate Director Statistician

SurreyContract
£650 - £750 per day
Job Reference: J5634986
Updated On: 25/05/2021
Status: Now Interviewing
Hyper Recruitment Solutions
Sectors: IS&T

Skills: IT Pharma - Computational - RWE, IT Pharma - Computational - Statistics

Job Information

Role Overview

We are currently looking for a RWE Associate Director Statistician to join a leading multinational Pharmaceutical company based in the Surrey area. As the RWE Associate Director Statistician you will be responsible for providing oversight of RWE statistical/analytical expertise and input for RWE projects/initiatives, protocol development, regulatory documents, scientific publications, and independent research proposals. This is a 12 month contract and supports remote working, with the expectation that the successful candidate will be able to travel to site to attend meetings when required.

Key Duties and Responsibilities

Your duties as the RWE Associate Director Statistician will be varied however the key duties and responsibilities are as follows:

1. Provide oversight of RWE statistical/analytical expertise and input for RWE projects/initiatives, protocol development, regulatory documents, scientific publications, and independent research proposals

2. Ensure that analytics methods for all projects are valid, appropriately implemented and aligned with the project objectives

3. Ensure quality and consistency of complex analytics deliverables by providing methodological support and training to key staff members

4. Establish effective communication with all internal stakeholders to understand and support the RWDE analytical and statistical needs of the business

5. Take responsibility for analytical design, programming execution, quality control checks and reporting for both insourced and outsourced Medical Affairs RWE studies across all therapeutic areas

Role Requirements

To be successful in your application to this exciting opportunity as the RWE Associate Director Statistician we are looking to identify the following on your profile and past history:

1. Relevant advanced degree in Statistics, Epidemiology, Mathematics, Engineering or Computer Science.

2. Proven industry experience in leading the design and implementation of statistical/quantitative methods in biomedical research, a minimum of 8 years

3. Advanced and broad knowledge of statistical and data science methodology and strong understanding of industry practices related to the statistical analysis and modelling of real world data

4. Programming experience in R, SAS or other statistical programming languages

5. Experience with OHDSI-OMOP services,working on project teams and managing projects and people within a matrix environment

6. Excellent organizational, and time management skills
Kayleigh Wells
Your Recruitment ConsultantKayleigh WellsKayleigh.wells@hyperec.com
DisclaimerHyper Recruitment Solutions Ltd (HRS) is an Equal Opportunities employer who are certified by Investors in People for our talent development. We welcome applications for any applicant who fulfil the role requirements for this position. HRS is a company exclusively supporting the science and technology sectors, and is made up of a collaboration of recruitment processionals and scientists. We look forward to helping you with your next career moves.