Technical Associate II, MSAT (Data Scientist)

The Autolus MSAT team primarily supports Manufacturing Operations in providing front line expert support for all process‑specific issues to manufacturing, to ensure execution of processes on‑time, continuously improving in quality and productivity, performed in compliance to GMPs, SOPs and applicable guidelines and functional standards. This role is a great opportunity to develop key skills and grow within MSAT's subgroups supporting technology transfer and introduction of new process, material, equipment, continuous improvement and automation projects, data science with continued process verification. The ideal candidate will have experience in Advanced Therapy Medicinal Product manufacturing and the role will be based between Stevenage and occasional work in London.

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• Manage and structure large data pools e.g. process and analytical data, ensuring robust data flow and connectivity between systems to enable real‑time visibility of both process and material control data
  
• Develop and initiate data systems or workflows that support the seamless transfer of manufacturing and material control data into statistical analysis platforms such as JMP
  
• Create and maintain CPV tools, including process status dashboards and control charts, to enable effective monitoring and trending of process and material control data. Own CPV reporting.
  
• Analyse large and complex datasets to identify meaningful trends, process shifts, and material‑related signals, translating insights into clear outputs for decision‑makers
  
• Present data in an impactful way to support proactive, informed decision‑making and drive tangible operational outcomes
  
• Support root cause analysis and product impact assessments for deviations; write and implement corrective and preventative actions
  
• Perform (risk) assessments for technical changes to ensure alignment with process specifications, batch records, and control strategies
  
• Review documentation such as batch records, bills of materials, sampling plans, and material specifications
  
• Contribute to commercial readiness and process/product lifecycle management
  
• Contribute to assessment and qualification of new equipment and materials for GMP implementation
  
• Provide data support as a Subject Matter Expert (SME) in manufacturing data, ensuring processes run reliably and in compliance with quality and safety standards
  
• Support technology transfer, routine manufacturing, and process introduction activities through data collection, validation, and analysis
  
• Represent MSAT as an SME on smaller cross‑functional projects
  
• Support the transfer of new products from process development into GMP manufacturing
  
• Other duties as required.
  

There is an immediate opportunity for bright, enthusiastic team member to join our Manufacturing, Science & Technology (MSAT) team committed to delivering high quality products for use in Autolus's commercial & clinical trial programmes.

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• 2–5 years' experience in GMP manufacturing or technical support functions (E).
  
• Demonstrated experience managing large data pools and building data flow systems between platforms (E).
  
• Hands‑on experience exporting, structuring, and analysing both process and material control data using statistical software such as JMP or Minitab, including generating CPV charts and dashboards (E).
  
• Experience in Advanced Therapy Medicinal Product manufacturing (P).
  
• Experience with technology transfer, process improvement, or lifecycle management (P).
  
• Bachelor's degree in science, engineering, data science, or a relevant field (P).
  
• Bachelor's degree in science, engineering, or relevant degree (P)
  

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• Strong ability to distil complex process and material control datasets into clear, visual narratives to support operational and strategic decision‑making (E).
  
• Knowledge of GMP and regulatory requirements (E).
  
• Excellent data analysis skills, including identifying trends and performance signals from both process and material control data (E).
  
• Experience designing or optimising data systems and workflows for process and material monitoring (P).
  
• Knowledge of Lean, Six Sigma, or other operational excellence methodologies (P).
  
• Strong technical writing, communication, and interpersonal skills; ability to work independently and cross‑functionally (E).
  
• Problem‑solving mindset with the ability to prioritise and adapt in a fast‑paced environment (E).
  
• Collaborative and adaptable approach to cross‑functional teamwork (E).
  

Autolus is committed to creating an inclusive environment for all employees and values diversity. Working at Autolus offers a flexible, diverse, and dynamic working environment which actively promotes creativity, leadership and teamwork.