R&D Data Science in Biopharm Discovery and PCSS (Protein, Cellular and Structural Sciences)
Exciting minds with our graduate programme
Help us use data to uncover answers and deliver insights that can lead to revolutionary medicines.
We’re looking for Future Leaders in R&D Data science
Are you ready to use data to develop results that amplify our science?
If so, bring that enthusiasm here. Together we can generate new insights that increase the probability of creating transformational medicines for patients using advanced analytics, data science and machine learning.
Develop your career
If you’re a graduate with the desire to create big solutions that revolutionise treatment for patients, this is a role for you.
This is what you can expect:
- Exposure across key areas of medicine design through three rotations in Computational Sciences, Biopharm Discovery and Protein, Cellular and Structural Sciences
- Learn how to integrate complex protein structure, pharmacological and biophysics data from a range of sources to deliver analytics that enable decision making in medicine design
- Develop exceptional skills in data science, visualization and scientific communication
- Opportunities to operate in multidisciplinary teams and deliver real impact
You’ll have the opportunity to:
- Interact with therapy area experts to develop testable hypotheses and deliver data analysis that enables decision making in medicine design at pace
- Gain insights into influencing scientific business decisions using data to answer specific questions
- Work in matrix teams with business and tech partners to evaluate and implement new data solutions
- Get hands on experience using state-of-the art platforms and capabilities and obtain the skills needed to perform analysis on multiparametric datasets to progress medicine design
What are the requirements?
- BS or MS/PhD in Data Science, Computer Science, Maths, or Scientific/Engineering Discipline with a strong numerical/computational component
- Passion for the design and discovery of transformational medicines
- A ‘disruptive’ mindset, proposing new and innovative approaches to challenging scientific problems
- Experience using numerical/computational methods for quantitative data analysis
- An understanding of how to incorporate scientific principles into data analysis
- A proactive, self-motivated and flexible approach with a talent for multitasking and adapting to change
- A gift for building strong relationships with key stakeholders
Apply now for our Early Talent programmes
Find out how to apply for our Future Leaders graduate programme, the career paths on offer and the markets where they're available.