Senior Scientist, Research Informatics & Data Science
AstraZeneca1 day ago
Cambridge, United KingdomSenior
Responsibilities
- Apply scientific informatics expertise to complex bioinformatics and data science challenges in laboratory environments.
- Translate biologics drug discovery workflows into automated processes, scalable digital products, and user-centered solutions.
- Integrate laboratory instruments, automation platforms, FAIR data repositories, and scientific applications such as Genedata Biologics.
- Develop applications, APIs, services, and user interfaces using Python and modern engineering practices.
- Establish reusable data models, metadata standards, and FAIR data products in Snowflake.
- Design data pipelines and integrate heterogeneous scientific data sources.
- Apply AI and agentic development practices to prototype tools and visualizations for lead selection and drug discovery decisions.
- Collaborate with scientists, automation engineers, product owners, AI specialists, and IT teams.
- Deliver production-quality software, automated data flows, and foundation data products supporting AI-enabled biologics discovery.
Requirements
- PhD, MSc, or equivalent industry experience in Bioinformatics, Data Science, Computer Science, Software Engineering, Computational Biology, Engineering, or a related discipline.
- Experience developing software solutions using Python and modern engineering practices.
- Experience designing data pipelines and integrating heterogeneous scientific data sources.
- Strong understanding of laboratory research environments and data-generation workflows.
- Experience working directly with scientists and technical stakeholders to deliver real-world solutions.
- Ability to translate ambiguous scientific needs into practical digital products.
- Experience with laboratory automation platforms and instrument integrations is preferred.
- Knowledge of cloud-based data platforms and modern data engineering approaches is preferred.
- Experience developing APIs, workflow orchestration systems, or scientific web applications is preferred.
- Experience applying machine learning, generative AI, or advanced analytics in scientific environments is preferred.
- Familiarity with FAIR data principles and research data governance is preferred.
- Experience working within agile product teams is preferred.
Benefits
- Hybrid working with an average minimum of three days per week in the office in Cambridge, UK, with flexibility around individual needs.
- Reasonable adjustments and accommodations are available throughout the recruitment process.
- Applications are open until 24-Sep-2026.
Tech Stack
PythonSnowflake
Categories
Data Engineering
About AstraZeneca
We're transforming the future of healthcare by unlocking the power of what science can do for people, society and the planet. For more information, visit www.astrazeneca.com. Community Guidelines: bit.ly/2MgAcio