Senior RWE research analyst

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My client, a leading pharmaceuticals company based in Dublin, are looking for a senior RWE research analyst to join their team on an initial 6 month daily rate contract. Your responsibilities:

Your responsibilities include, but are not limited to:

* Produce analytic deliverables, including full study reports for RWE or observational database analyses projects.

* Support project management by coordinating project activities and timelines as well as issue management.

* Independently draft and edit documents such as high-level research proposals, protocols and statistical analysis plans.

* Develop project timelines together with the Real World Evidence (RWE) Data Scientists.

* Appropriately track communications with the customer as well as project related decisions taken; Provide guidance to less experienced analysts on study design and analysis activities.

* Conduct observational data analyses involving new creative approaches and oversee data management and statistical programming activities.

* Provide guidance to conduct data quality reviews with detailed documentation; Present research and analysis results to customers and stakeholders.

* Produce analysis data sets, listings, tables, and figures for research projects, according to specifications, while maintaining documentation and complying with pre-defined project / study standards.

* Perform in-depth research and quantitative and qualitative analysis independently. Provide guidance to Associate RWE Research Analysts and RWE Research Analysts.

* Seek out opportunities for the development of new RWE services and new customers within Novartis; Maintain familiarity with technical developments in RWE, epidemiological and data science fields.

* Develop department-level standards, tools and templates and contribute to RWDA business development.

* Regularly elicit customer's satisfaction levels with Data Science's RWE services. Identify service areas requiring attention.

Minimum requirementsWhat you'll bring to the role:

* English fluent (oral and written)

Education:

* Postgraduate qualification (Masters or PhD) in a relevant field such as epidemiology, biostatistics, statistics, bioinformatics, economics or similar.

Experience:

* A minimum of 4+ years of experience conducting research in the pharma industry, contract research organization, or academic institute; or experience in a closely related discipline within the pharma industry.

* Experience in the application of statistical methods to the analysis of observational data.; Technical proficiency in analytical and visualization tools and statistical programming languages such as SAS, R, R/shiny, Tableau, Spotfire, SPSS, STATA, WinBUGs.

* Deep knowledge of RWE data sources and standards such as MarketScan, CPRD, JMDC, Optum, PharMetrics, OMOP.

* Expert in applied statistics. Extensive experience in the application of statistical methods for analysis of observational data including propensity scores, sensitivity analyses, etc. is a plus.

* Good understanding of organizational processes. Extensive experience working cross-functionally with key internal stakeholders.

* Open to experimentation and taking smart risks to support creative thinking that leads to practical solutions to healthcare and business challenges.

* Experienced in data visualization; excellent project management skills: can prioritize multiple tasks and goals to ensure timely completion.

* Strong written/verbal communication skills. Highly effective at summarizing and presenting key

Please click here to find out more about our Key Information Documents. Please note that the documents provided contain generic information. If we are successful in finding you an assignment, you will receive a Key Information Document which will be specific to the vendor set-up you have chosen and your placement.To find out more about Real please visit www.realstaffing.comReal Staffing, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy| Registered office | 1st Floor, 75 King William Street, London, EC4N 7BE, United Kingdom | Partnership Number | OC387148 England and Wales