Senior Consultant Health Economics, (Statistician), Advanced Analytics - London - Milan - Stockholm

40,000 - 60,000
24 Dec 2018
25 Feb 2019

Senior Consultant Health Economics, Statistician, Advanced Analytics

My client have a high reputable Health Economics team whose purpose is to provide health economics consultancy services to international pharmaceutical and medical devices companies. The primary activities are cost-effectiveness, budget-impact modeling, within clinical trial analyses of health economic components as well as analysis on real world data and psychometric validation of clinical outcome assessment

The Senior Statistician will work as part of the modeling team, with responsibility for analysis of clinical trial data to populate an economic model, and analysis of retrospective data (such as claims or Registry data).The position is for a senior statistician to conduct/lead statistical analyses in the field of healthcare.

Key accountabilities:

• Write and review study protocol and statistical analysis plans (SAP)
• Provide statistical advice to peers and clients
• Conduct statistical analyses, primarily in SAS (other software could be used, such as R, STATA and WinBugs)
• Lead SAS programmers to conduct data manipulation and statistical analyses
• Verify/validate analysis results
• Write statistical reports
• Project management of the statistical parts or whole projects
• Write manuscripts, abstracts, conference posters
• Communicate with clients on a regular basis (project update, results, discussion)


QualificationsThe successful candidate will be able to demonstrate experience of having worked with clinical trial and health data as well as analysis of retrospective data bases, and have the ability to work independently. Specific requirements are:

• An MSc/PhD in statistics, biostatistics with in-depth knowledge of multivariable models and survival analyses
• ≥ 5 years’ experience working as a statistician
• In depth experience of statistical methods for analyzing of clinical trial and health-related data as well as retrospective data bases
• In-depth knowledge of SAS is essential. Although the role is for a statistician rather than a programmer, the post-holder will need to do statistical analyses in addition to work closely with SAS programmers
• Experience of observational data and/or registries is essential
• Knowledge of data management methods to deal with high volumes of data is essential
• Knowledge of Bayesian statistics and clinical trial data design/analysis would be an advantage
• Experience in Project managing
• Fluent English


For more detail please apply or contact me - Greg Harris - LinkedIn

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