Description
A Pharma company not far from London is looking for an epidemiological/statistical programmer to join their global programming team. If you are interested and want to know more details, send an application and we'll be in touch!Job overview:
Observational Research team are looking for an epidemiological/statistical programmer to work in their Core Services and Capabilities Programming group. The role involves producing analysis datasets using SAS (and possibly R) and creating visualisations from these datasets using Spotfire or R Shiny as well as work to lead and QC observational studies.
This newly created role is in order to support the production of Real-World Evidence using Real World Data consisting of large Japanese claims and hospital databases. The databases are stored in either the OMOP common data model or in native format. On occasion analyses in other large observational databases will be needed, for example in the CPRD.
Requirements:
- Ideally 5 years of experience in statistical programming
- SAS programming skills and/or R/Python programming knowledge
- SQL knowledge
- Strong programming background
- Genuine interest in Real World Evidence data
- Candidates must be comfortable with creating complex analysis datasets derived from large databases
- Have a careful eye for outliers and errors
- Ability to work effectively and successfully in a team environment, strong documentation, communication, and time management skills are essential
- Agile methodology knowledge
Michael Bailey International is acting as an Employment Business in relation to this vacancy.