R&D Data Science Graduate Apprenticeship, UK, 2025
Stevenage
Applications have closed
GSK
At GSK, we unite science, technology and talent to get ahead of disease togetherJoin the GSK Research and Development Apprenticeship Programme – UK, 2025: Help us get ahead of disease together
Education required: Bachelor of Science degree from an accredited college/university, preferably in Computer Science, Data Science, Mathematics or any other Science discipline with a substantial Data Science component. Graduation by August 2025.
Language requirement: Written and spoken fluency in English
Expected Start date: September 2025
Location: Stevenage. You must live within a 60-minute commute of the site location on the day you start your apprenticeship as you are expected to be on site daily.
Application deadline: We recommend you apply as soon as possible. We will close this vacancy when we have enough applications, so please apply as soon as you can so your application can be considered.
Assessment Centre Date: December 2024
Are you looking for a career where you can help positively impact the health of billions of people?
Apply for the R&D Masters of Data Science Apprenticeship programme at GSK today!
Do you want to work for one of the world's leading pharmaceutical companies, and are you ready to apply your data analytical and problem-solving skills to make key contributions to the development of new medicines?
If so, bring your enthusiasm here. You will be part of the Research & Development function generating new insights to support the research, development, or manufacturing, and associated processes, required to bring a physical medicinal product to market.
Ahead together with tailored training and career development
A GSK apprenticeship gives you the chance to earn while you learn. The Masters of Data Science apprenticeship lasts two years and is a practical, hands-on apprenticeship where you will have the opportunity to be involved in different aspects and processes required to bring medicinal product to market from the Research and Development perspective.
You will actively study towards a Masters of Digital and Technology Solutions qualification through Northeastern University London subject to availability/entry requirements. For more information see:
- Course details: Artificial intelligence (AI) Data Specialist – Northeastern University London (nulondon.ac.uk)
- Apprenticeship standards: Digital and technology solutions specialist (integrated degree) / Institute for Apprenticeships and Technical Education.
You will join the Bioimaging Analytics team responsible for applying advanced AI/Machine Learning methodologies to support drug discovery and development. This includes utilising computer vision/language models, object detection and tracking, feature extraction, quantification, and visualization in preclinical stages.
We are looking for motivated individuals with a willingness and enthusiasm to learn, who are excited to develop practical and problems solving skills. No prior experience is required as you will be given full training.
If you successfully complete your apprenticeship and demonstrate the qualities we are looking for, you may be offered further opportunities with GSK.
What will you do?
- Construct, develop and maintain complex data visualization tools, deliver data analysis that enables decision making and drives improvements
- Learn and apply latest mathematical methods in Data Science applicable to the Clinical Supply Chain
- You will support to improve drug R&D efficiency through implementation of Artificial Intelligence/Machine Learning methods
- Demonstrate project leadership during management and delivery of multiple projects
- Collaborate with Data Engineers, help guide the data pipeline and data transformation process, and learn about building data science infrastructure
- Develop and deliver support and guidance materials for Scientific business partners to ensure data governance, robust analysis and data product lifecycle management
- Gain in-depth and cross-sectional insights into the R&D function
- Gain hands on experience using state of the art platforms and capabilities such as Power BI, Azure (Databricks & Azure Dev Ops)
What are we looking for?
- A strong knowledge of Python is required. Alternatively, proficiency in R or MATLAB is acceptable: Demonstrate proficiency in data manipulation and analysis using pandas and numpy, an understanding of fundamental programming concepts (such as loops and conditionals), and be skilled in debugging, testing (e.g. using unittest) and data visualization tools (such as matplotlib and seaborn).
- Passion for getting ahead of disease
- A lively interest in Research & Development and the biopharma industry
- Ability to build strong collaborative relationships with key stakeholders
- Excellent communication skills that help you influence
- Strong problem-solving skills driven by curiosity
- Proactive, self-motivated and flexible approach with a talent for multi-tasking and prioritization
What do we offer you?
- A competitive salary, plus an annual bonus based on company performance.
- Relocation Allowance subject to eligibility checks
- Employee recognition programs, which reward exceptional achievements
- Access to healthcare and well-being programs, savings programs, time off and childcare support
- Long-term incentives through shared ownership link your rewards to our longer-term performance
- On-the-job experience and formal and informal training and development, delivered through a mixture of coaching, mentoring and formal training programs
- Eligibility for NUS Extra card providing you with discounts to many high street and online outlets.
- Join NxtGen – a socialising and networking group where you can connect with other apprentices internationally.
Let’s do this!
You’ll find hints, tips and guidance on our recruitment process on our website
Learn more about the application process | GSK
Once you've submitted your online application form, you'll need to complete two online assessments prior to the assessment center stage and as part of this, you'll be asked about your motivation for the role: We’d like to hear about why you applied to this role and your motivation for the business area you’ve applied to. You will be asked a 2nd question on what strengths, skills or interests you have that will enable you to be successful in this role. Please be as targeted as you can!
Top tip #1: Make sure you save this job description for reference throughout the process, it will really help you prepare for the different stages in your application.
Top tip #2: Don't forget to register on our GSK insight & engagement platform https://gsk.connectr.co.uk/getahead/ to learn more about working at GSK, our culture and application processes.
You can learn more about GSK and our careers here.
Apply now!
We’re 100% open to all talent – whatever your gender, marital status, religion, age, colour, race, sexual orientation, nationality or disability. We want to recruit the right people for GSK from the widest possible backgrounds because it’s the right thing to do and so we can better serve the diversity of our patients.
You can learn more about Inclusion and diversity at GSK here.
Need help with your application?
Please email us at UK.EarlyCareers@gsk.com
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#UKApprenticeships
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Why GSK?
Uniting science, technology and talent to get ahead of disease together.
GSK is a global biopharma company with a special purpose – to unite science, technology and talent to get ahead of disease together – so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns – as an organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology).
Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it’s also about making GSK a place where people can thrive. 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.
As an Equal Opportunity Employer, we are open to all talent. In the US, we also adhere to Affirmative Action principles. This ensures that all qualified applicants will receive equal consideration for employment without regard to neurodiversity, race/ethnicity, colour, national origin, religion, gender, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class*(*US only).
We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are.
Please don’t hesitate to contact us if you’d like to discuss any reasonable adjustments to our process which might help you demonstrate your strengths and capabilities.
For UK Intern roles (including Industrial Placements) you can either call us on 01582 692870, or send an email uk.InternRecruitment@gsk.com
For UK Apprentice and Graduate Programme roles you can either call us on 0203 862 2277, or send an email uk.EarlyCareers@gsk.com
As you apply, we will ask you to share some personal information which is entirely voluntary. We want to have an opportunity to consider a diverse pool of qualified candidates and this information will assist us in meeting that objective and in understanding how well we are doing against our inclusion and diversity ambitions. We would really appreciate it if you could take a few moments to complete it. Rest assured, Hiring Managers do not have access to this information and we will treat your information confidentially.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Azure Computer Science Computer Vision Data analysis Databricks Data governance Data visualization Drug discovery Industrial Machine Learning Mathematics Matlab Matplotlib NumPy Pandas Pharma Power BI Python R R&D Research Seaborn Testing
Perks/benefits: Career development Competitive pay Flex hours Flex vacation Relocation support Salary bonus
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