Are you looking for a career where you can help positively impact the health of billions of people?
GSK is a global biopharma company with a special purpose – to unite science, technology and talent to get ahead of disease together. Getting ahead means preventing disease as well as treating it, and we aim to impact the health of 2.5 billion people around the world in the next 10 years
Find out why interns Zoe and Hashim decided to apply to GSK. Hashim also shares what skills he has developed since starting with the company.
Our success absolutely depends on our people. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves – feeling welcome, valued and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get ahead together.
Our programme will offer a range of opportunities in both Clinical Programming and Data Science. Candidates will be able to indicate a preference of which group they offboard into at the end of the rotational programme but will get the option to experience rotations in both.
Clinical Programmers at GSK sit within the Biostatistics function and represent industry leading SAS and R experts for the exquisite delivery (analysis and reporting) of our clinical studies and data submissions to global regulatory agencies. The discipline works globally, spread across regions (UK, EU, US and India) and provides leadership and accountability for all programming aspects for medicines and vaccines within all clinical phases of drug development. A graduate would get hands on experience in the analysis and reporting of clinical trials and play an important role in defining and implementing strategies to modernise data delivery for clinical development.
Data Science, within the Statistics and Data Science Innovation Hub (SDS-IH), is also within the Biostatistics function, working closely alongside Clinical Programming and Clinical Statistics. The group is spread across the UK and US and works with the rest of Biostatistics to develop its modern vision for data science and delivers value to the wider drug Development organization through cross-functional data-driven projects. A graduate will get hands on experience in programming, data wrangling and statistics in R and/or Python.
Not only do we want to find the right candidate, we also want you to choose a scheme that’s right for you. Our Future Leaders Programme is for those who aspire to be leaders, inspire others and relish some of the world’s biggest healthcare challenges. We believe in focusing on the patient and conducting our business with integrity, transparency and respect for everyone we work with.
We invest heavily in your personal development to prepare you for a career as a leader through regular discussions with your line manager and support from a wide network of colleagues, but you are still the driver of your development. You will also have continuous training where 70% is on-the-job, 20% is through developmental relationships and 10% is through formal training and educational courses. There is a thriving community of Programmers and Data Scientists working across multiple groups at GSK, continually evolving to enhance the skills, processes and technologies that drive innovation and efficiency. Opportunities will be broad and plentiful.
Our programme is two years long and will usually have 3 rotations. This is to enhance the development of your skills through having a breadth and depth of our business areas. After completing the programme, you will return to the role for which you were hired. The breadth of relevant technical experience, business and interpersonal skills that you will have acquired, together with the mentoring and networking opportunities you will have experienced, will allow you to excel in your career at GSK.
Your rotations will include work in the following areas, but not necessarily all:
Required: A BS degree from an accredited college/university, preferably in mathematics, statistics, computer science, data science, life sciences or related discipline. Graduation by August 2023
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