Applications aren't open for this job yet. BUT, you can register your interest in applying - let the employer know you're intrigued! We'll send word as soon as applications open.
So, if you see this icon on a job listing, it means you can register your interest.
This role is suited to students entering their second year of university in September 2020.
Data Science is multi-disciplinary field that provides an opportunity to develop a wide range of skills. Our Statistical Data Scientist placement offers the chance to help the Statistical Data Sciences (SDS) team to solve real-world business problems and assist in our objective to upskill the wider Biostatistics community in Data Science.
You will primarily work in R, but you will be exposed to multiple programming languages, tools and technologies during this placement. As part of a small but multiskilled team you will work on both large and small projects helping to create tools and applications that will assist statisticians, statistical programmers and scientists in their everyday work. In addition, you will support our Data Science upskill objective by generating training materials, investigating new tools and methods, contributing to our blogs and helping to run the Data Science community. Further opportunities may include the implementation and evaluation of predictive modelling approaches, including both Statistics and Machine Learning models. Exposure to the R language and tools such as Git are helpful but much of the required training is provided during the placement. Above all you will need strong communication skills, enjoy writing code and be eager to learn and try new things.
The Molecular Design group also have an opportunity for an Industrial Placement student to join their team in a Data Science/Machine Learning role. We work in close collaboration with our R&D colleagues to apply computational techniques to discover better and safer medicines for patients. We have a diverse range of expertise, from machine learning to cheminformatics and molecular simulation.
You should have a good knowledge of basic statistics and a strong interest in data science/machine learning. Familiarity with a programming language such as Python is preferable. You should be thorough in the way you work and pay attention to detail. You will be able to plan and organise your own work and have the ability to work independently as well as in a team environment. You have the ability to follow projects through to completion. Good communication and interpersonal skills are essential. Some knowledge of chemistry or biology would be advantageous, but not a requirement.
If this sounds like the placement for you then apply now!
One of the world’s leading healthcare companies, GSK discovers, develops, manufactures and distributes life-saving vaccines, prescription medicines and consumer health products such as Maxinutrition, Sensodyne, Aquafresh and Panadol.
The size and scope of our organisation allows our people to answer some of the biggest questions facing everyone on the planet – questions about future healthcare needs and questions about building a responsive, innovative, global business to meet them – as well as questions about their own personal and professional growth.