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Join the Real-World Methods and Evidence Generation (MEG) Team as Biostatistician– Analystto help us deliver highquality scientific research to our clients in the global pharmaceutical and healthcare industries.  

Our goal is to contribute to the body of scientific evidence that allows medical practitioners to treat patients in the most effective way, and health systems to include as many patients as possible. We use data, collected for clinical (and other) purposes to answer research questions such as "which treatment works best in the real world, beyond the clinical trial setting?" Our fast paced and supportive environment attracts individuals who care deeply about the quality, timeliness and subsequent impact of their work; who thrive when exposed to the scale and variety of scientific challenges we face.

Your primary responsibilities will be wide ranging, but will involve:

• Contribution to the design, execution and reporting of real-world database (RWD) studies

• Contribution to the writing of study protocols, statistical analysis plans (SAPs) and study reports

• Conduct statistical analysis on real-world databases as specified in the SAP, using R, Python or SAS

• Supporting with developing abstracts, manuscripts and/or presentations to conferences for projects

• Contribution to improving operational efficiencies of workflows, including writing of internal guidance documents (e.g., SOPs and quality management documents)

To be successful in this role, you’ll need to have:

• MSc, PhD or equivalent in statistics, biostatistics, epidemiology or in a related discipline

• Ideally, some experience designing and executing prospective or retrospective database studies

• Commitment to working collaboratively and effectively with people of other disciplines

• Excellent time management skills, contributing to multiple projects with competing timelines

• Strong written and verbal communication skills

• Fluency in English (spoken and written)

Preferred Qualities

• Exposure to working with large real-world healthcare databases

• Publications in peer reviewed journals and/or abstracts in scientific conferences

• Experience of AI/ML methods (not essential)

In return we’ll provide the support for you to develop your Biostatistics career in a supportive and dynamic environment.  You’ll be working in a global company of over 80,000 employees in more than 100 countries, with a broad range of healthcare information, technology and service offerings.