Associate Data Science Scientist, e-therapeutics

• BSc or above in a STEM domain
• Solid foundational knowledge and understanding of statistics
• Experience with an appropriate programming language (e.g. Python, R)
• Strong communication & interpersonal skills, with the ability to communicate complex findings to non-statistical team members
• Excellent time management and organisational skills, being able to understand and balance priorities on project timelines
• Eagerness to learn and apply new statistical methods to improve analysis processes

Desirable

• You'll be part of a collaborative team, applying well-established statistical methods to develop meaningful insights that contribute to our development of life-changing medicines
• As an Associate Scientist, you will have the opportunity to learn and adapt to our established methodologies and processes
• As part of the Early-stage Development Team you will report to the Associate Director, Early-stage Development and will work closely with the Scientist, Data Science
• You will be responsible for processing and conducting analyses of complex biological data, ensuring the accuracy and integrity of the results
• The role involves close collaboration with project leads to drive data-driven decision-making in preclinical studies, with a strong focus on managing the analytical processes
• Process raw data from Contract Research Organizations (CROs) into standardized internal formats, ensuring proper storage and quality control (QC)
• Perform statistical analysis on a range of biological assays (e.g. qPCR, ELISA, LC-MS) and in vivo disease models
• Collaborate closely with Project Leads to ensure accurate analysis and provide statistical input to guide and support decision-making
• Take responsibility for pre-clinical data and analyses, ensuring that all data adheres to FAIR principles (Findable, Accessible, Interoperable, Reusable)
• Continuously explore and apply new statistical methods to enhance data analysis within the Early-stage Development team