Job Title - Data Analyst Location - Oxford (Hybrid) About the client We are working with an established, well-funded AI drug discovery company at the forefront of revolutionising how treatments are discovered, tested, and developed.
With a growing presence worldwide, they're expanding their Oxford-based AI & Data team and looking for talented individuals passionate about combining data with life sciences to fuel breakthroughs in drug discovery, climate change, sustainable agriculture and government innovation.
Role Overview The data analyst must have a love for attention to detail and be excited by data management.
This is a hands-on role but will also contribute to strategic acquisition and platform positions, supporting business growth and decision-making.
You will join an industry-leading team of AI researchers, applied AI scientists, and data and software engineers with a real passion for building a better tomorrow for us all.
The ideal candidate will have strong analytical capabilities with deep industry experience and the ability to bridge the gap between business context and data analysis.
As we are building out the team from scratch, we are open to speaking to candidates with varying levels of experience so please apply if your experience aligns with the requirements listed below.
This is an incredibly unique opportunity to join a technology institute, on a mission to build sustainable change in the world, through accelerating innovation by driving scientific and technological advancements.
Responsibilities Design, implement and optimise data collection processes to gather relevant and high-quality data for various projects within the domains of climate tech, health, energy, sustainable farming Collaborate with cross-functional teams to ensure data is accurately captured from multiple sources, including experimental, clinical, and public datasets Assess data quality and establish robust data validation procedures to ensure data integrity throughout the analysis pipeline Develop and apply data quality frameworks tailored to machine learning use cases, focusing on data completeness, accuracy, and reliability Act as a vital link between engineers, scientists, and the applied AI team, facilitating seamless communication and data flow across the entire drug discovery process Support interdisciplinary projects by translating complex data requirements into actionable insights and providing clear guidance on data use Guide the data acquisition strategy based on a comprehensive understanding of industry dynamics, emerging trends, and scientific advancements Identify new data sources and partnerships that can enhance the company's data capabilities and contribute to strategic decision-making Requirements Bachelor's or Master's in Data Science, Statistics, Bioinformatics, Computational Biology, or a related field.
A PhD is a plus Minimum of 3 years of experience as a data analyst within an elite organisation Proven track record in handling complex datasets, particularly in the context of drug discovery, biomedical research, agriculture, clean energy, government Proficiency in data analysis and manipulation tools such as Python, R, and SQL Experience with data visualisation platforms (e.g., Tableau, Power BI) to effectively communicate insights to stakeholders Experience with data visualisation platforms (e.g., TensorFlow, PyTorch) and data quality assessment techniques Excellent communication and collaboration skills, with the ability to translate complex data insights for non-technical stakeholders Strong problem-solving skills and a proactive approach to identifying and addressing data-related challenges What's on offer Industry-leading salary compensation DOE An opportunity to work on projects that will make a difference in the world, all projects are multi-decade programs that are orientated to improve society and people's lives A rare opportunity to shape and lead the AI Capability team from the ground up State-of-the-art resources, enabling you to push the boundaries of AI research and development quickly and ethically If you're a data-driven professional passionate about innovation and real-world impact, we encourage you to apply!