Job description Posted 19 October 2021

Programmer (Scientist, Data, Methods and Analytics – Immuno-inflammation and Specialty Medicines)

GSK House (completely remote working)

Contract: 12 Months

Pay: £55 per hour (via Umbrella only)


Our Company:

GlaxoSmithKline (GSK) is a science-led, global healthcare company, employing over 100,000 people in more than 115 countries. Our mission is to improve the quality of human life by enabling people to do more, feel better, live longer.


Data, Methods & Analytics:

GSK’s Data, Methods and Analytics team (DMA) partners closely with Real World Evidence & Epidemiology, and Value Evidence & Outcomes to support drug development and patient access. We are an in-house data and analytics team set up to provide insight into the patterns, burden, and occurrence of disease, cost and healthcare utilisation, and the safety and effectiveness and other outcomes of treatment. Our goal is to provide objective evidence of the value of our medicines through the analysis of electronic health records, administrative claims, patient registries and other observational health data sources.


Roles and Responsibilities:

·      Transform real-world data (RWD) into actionable insights through hands-on manipulation of complex health datasets.

·      Collaborate with research partners to conduct and report studies using real world healthcare data.


To succeed in this role, you should:

•      Hold a Bachelor’s degree, or have equivalent experience, in a quantitative discipline such as statistics, epidemiology, health economics or biostatistics

•      Experience using real-world datasets

•      Be well versed with either MarketScan, Optum, Premier or CPRD

•      Be proficient in manipulating large, complex datasets in a statistical programming language such as SAS, R or Stata.

•      Prior experience working with population-based health outcomes data is highly desirable

•      Have excellent problem-solving and analytical skills and enjoy finding efficient and innovative solutions to challenging problems.

•      Be self-reliant with the ability to deliver robust, timely, high-quality analytics.

•      Be an enthusiastic collaborator and enjoy working on a wide range of projects and requests across multiple therapy areas.

•      Be an effective communicator and able to articulate complex concepts to diverse audiences.