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Senior Scientist, Research Informatics & Data ScienceAstraZeneca · UK - Cambridge
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AstraZeneca

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Senior Scientist, Research Informatics & Data Science

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🗓️ Posted 2026-09-08 UK - Cambridge Full-time Hybrid Science Technology
💰 Salary Not shared 📊 Market 4,500 GBP–7,500 GBP/mo

About the Company

informatics and data science professional to accelerate the digital transformation of Biologics Engineering by building the data, software, and automation foundations that enable next-generation scientific workflows. This role sits at the intersection of bioinformatics, software engineering, data science, laboratory automation, and AI. The successful candidate will partner closely with scientists, automation engineers, data scientists , and IT teams to develop robust, scalable, and user-centric solutions that improve data capture, automate workflows, and establish FAIR data foundations for AI-driven biologics discovery and development. The position combines hands-on technical delivery with scientific partnership and will play a key role in enabling foundation builds , workflow automation, data products, and emerging AI capabilities across the Biologics Engineering ecosystem. Key Responsibilities: Apply scientific informatics expertise to address complex challenges across bioinformatics and data science in laboratory environments . Translate biologics drug discovery workflows into automated processes, scalable digital products, and user-centred solutions that improve research efficiency and data quality. Integrate research systems by connecting laboratory instruments, automation platforms, FAIR data repositories, and scientific applications such as Genedata Biologics . Develop scientific software including

Requirements

  • ● PhD, MSc, or equivalent industry experience in Bioinformatics, Data Science, Computer Science, Software Engineering, Computational Biology, Engineering, or a related discipline.
  • ● Strong understanding of laboratory research environments and data generation workflows.
  • ● Demonstrated ability to translate ambiguous scientific needs into practical digital products. Preferred Qualifications:
  • ● Knowledge of cloud-based data platforms and modern data engineering approaches.
  • ● Familiarity with FAIR data principles and research data governance.
  • ● Success Measures: Within the first 12-24 months, the successful candidate will:
  • ● Deliver foundation data products that support AI-enabled biologics discovery.
  • ● Establish automated data flows across key laboratory workflows.
  • ● Reduce manual scientific data handling through automation and integration.
  • ● Increase availability of FAIR, reusable research data.
  • ● Deliver production-quality software used by scientists across multiple BE functions.
  • ● Contribute to scalable platforms supporting Digital, Automated, and AI-Driven Biologics Engineering.
  • ● Why AstraZeneca
  • ● When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our outstanding world.
  • ● So, what's next
  • ● Are you already imagining yourself joining our team Good, because we can't wait to hear from you. Don't delay, apply today
  • ● Where can I find out more
  • ● Our Social Media,
  • ● Follow AstraZeneca on LinkedIn https://www.linkedin.com/company/1603/
  • ● Follow AstraZeneca on Facebook https://www.facebook.com/astrazenecacareers/