Our employees are able to develop their careers in exciting new medical technologies, and so can you.

Oxford Biomedica’s Process R&D team consists of experienced scientists and engineers that have extensive expertise in all aspects of upstream and downstream development.  PR&D take processes from the laboratory “bench” scale and apply process expertise and engineering fundamentals for delivery to Manufacturing.

We are currently recruiting for a Senior Data Scientist to join the team.  The purpose of this role is to support Subject Matter Experts (SME) in the design of processes suitable for the manufacture of biologics bulk drug substance for commercial and late clinical phase products, through the application of process understanding and applied science. 

Your responsibilities in this role would be:

• Will report to the Group Leader.
• Assist subject matter experts (SME) in the technical oversight of unit operations to ensure the development of robust products, processes and analytical methods:
• Advise subject matter experts (SME) on experimental study design using DoE principles.
• Use and develop data analysis tools to model and characterise processes in alignment with the QbD principles.
• Review and evaluate, in collaboration with SME, process data to deliver robust and reliable process performance and product quality.
• Work with the PRD teams to establish statistical methodology and reporting standards.
• Establish database rules for collecting, analysing and storing data.
• Support SME to define/manage systems for process monitoring. Support improvement of data collection and management to enable quick and reliable data analysis.
• Identify and drive opportunities for improvements (process capability, yield).
• Support SME in the trouble shooting/root cause analysis of problems that may arise during the running of our processes. Assist investigation teams, taking into account production environment constraints and clearly communicate on progress and issues.
• Present technical analytical data clearly and concisely to business partners.
• Train other scientists within the department on use of statistical techniques and methodologies.

To be successful in this role, you will have the following skills and experience:

• Degree in Engineering, Statistics, Mathematics, or Physicals sciences (5 years higher education). PhD preferred, or an appropriate level of relevant experienceA scientific understanding of process optimisation (how process inputs, control parameters, and environment, influences process performance and product quality).
• Experience in one or more of the following areas are a must: analysis of data sets to identify process performance issues/opportunities (e.g., MVDA), -omics, Design of Experiments.
• Use and develop data analysis tools to model and characterise processes in alignment with the QbD principles.
• Experience of process validation, resolution of complex (technical, stakeholder) technical issues impacting commercial production and/or late stage process development. Assist investigation teams, taking into account production environment constraints and clearly communicate on progress and issues

Do you want to feel inspired every day? We’re future-focused and our business is growing rapidly. We succeed together through passion, commitment and team work, and so can you.

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