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Hyper Recruitment Solutions
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Research Manager - Statistics

Permanent
£55,000 - £65,000 per annum
Job Reference: J5635935
Updated On: 04/05/2022
Status: Open to Applications
Hyper Recruitment Solutions
Sectors: IS&T

Skills: IS&T - Business Intelligence, IS&T - Data Integrity, IS&T - Client Engagement, IS&T - Development - SAS, IS&T - Development - R, IS&T - Data Science

Job Information

Role Overview

We are currently looking for a Research Manager - Statistics to join a leader in real-world evidence and insight provision for healthcare and life sciences based in the London area. As the Research Manager - Statistics you will be responsible for the design and implementation of research projects using routinely collected electronic healthcare data

Key Duties and Responsibilities

Your duties as the Research Manager - Statistics will be varied however the key duties and responsibilities are as follows:

1. Research Manager will lead and oversee the design and implementation of research projects using routinely collected electronic healthcare records, focusing on statistical methodologies and data visualizations

2. You will co-ordinate, lead and oversee the programming of analysis methodology into interfaces including R and SQL

3. As Research Manager for Statistics you will be responsible for delivering detailed client-ready study protocols and statistical analysis plans ensuring statistical robustness of projects from start to finish

4. You will lead and contribute to the scoping of research projects, including specifications, statistical analysis methods, machine learning methods, or other analytical techniques to translate client need into clear deliverables

Role Requirements

To be successful in your application to this exciting opportunity as the Research Manager - Statistics we are looking to identify the following on your profile and past history:

1. Postgraduate degree (MSc or PhD) in Medical Statistics, Biostatistics, Data Science or a related discipline

2. Proven industry experience in health data analysis ideally using R, Python or SQL

3. Knowledge and experience of using varying statistical analysis methodologies, including Frequentist and Bayesian statistics


Key Words: Statistics, RWE, Health, Data, R, Python, SQL, Data Analysis, Research, Patient Data,
Ariana Dewji
Your Recruitment ConsultantAriana DewjiAriana.Dewji@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.