Job description Posted 11 November 2019

Who Are We - GSK?

We are a science-led global healthcare company with a special purpose: to help people do more, feel better, live longer. GlaxoSmithKline plc was formed in 2000 as a result of a merger between Glaxo Wellcome plc and SmithKline Beecham plc , although our history can be traced back more than 300 years to London’s Plough Court Pharmacy in the 1700s.

Our goal is to be one of the world’s most innovative, best performing and trusted healthcare companies. Our strategy is to bring differentiated, high-quality and needed healthcare products to as many people as possible, with our three global businesses, scientific and technical know-how and talented people. Our values and expectations are at the heart of everything we do and form an important part of our culture:

• Our values are Patient focus, Transparency, Respect, Integrity

• Our expectations are Courage, Accountability, Development, Teamwork

The role will involve:

•Planning and participating in programming/quality control of data verification and data anonymisation activities.

•Applying the GSK standards for data anonymisation and escalating any non-conformance with these standards.

•Continuing to develop and refine the data anonymisation process, proactively identifying risk and areas for process improvement

•Providing written documentation of data verification and anonymisation activities as well as content, approach and reuse information for use by both internal staff and external researchers.

•Ensuring that studies have been correctly anonymised and complexities of studies e.g. parent/child linkage has been correctly implemented in the anonymisation.

•Demonstrating a flexible attitude and a willingness to learn and share learning’s and information with others

•Partnering with other Programmers to QC each other’s work and being willing to participate in discussions with the wider team to ensure data anonymisation and data verification approaches are consistent.

•Prioritising effectively to meet deadlines and to build credibility and presence with the wider team

Basic Qualifications:

•Degree within mathematics, Life Science or related discipline.

•Experience working with clinical data

•Experienced SAS programmer

Preferred Qualifications:

•Experience in the application of CDISC data standards

•Knowledge of software development and validation

•Knowledge of Linux based systems

Additional information about the process

All profiles will be reviewed against the required skills and experience. Due to the high number of applications we will only be able to respond to successful applicants in the first instance. We thank you for your interest and the time taken to apply!

Join GSK’s vision to do more, feel better and live longer:

Who will I be working with?