Senior Scientist, Research Informatics & Data Science

AstraZeneca GmbH; Cambridge; On-site; GBP 90,000 - 130,000; Full time

Job summary

AstraZeneca GmbH in Cambridge is seeking a Senior Scientist to accelerate digital transformation in Biologics Engineering by building data, software, and automation foundations for AI-driven discovery.

The role combines bioinformatics, software engineering, and data science to deliver robust, scalable, user-centric solutions across workflows and data platforms.

Qualifications

• PhD, MSc, or equivalent industry experience in Bioinformatics, Data Science, Computer Science, Software Engineering, Computational Biology, Engineering, or 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.
• Demonstrated ability to translate ambiguous scientific needs into practical digital products.

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.
• Integrate research systems by connecting laboratory instruments, automation platforms, FAIR data repositories, and scientific applications such as Genedata Biologics.
• Develop scientific software including applications, APIs, services, and user interfaces.
• Establish data foundations through reusable data models, metadata standards, and FAIR data products in Snowflake.
• Apply AI and agentic development practices to prototype tools and visualisation capabilities for lead selection.
• Collaborate across disciplines with scientists, automation engineers, product owners, AI specialists, and IT teams.

Skills

Python programming

Data integration

Scientific software development

Stakeholder collaboration

AI/ML for science

Education

PhD or MSc in a relevant field

Tools

APIs

Workflow orchestration

Scientific web applications

Job description

Senior Scientist, Research Informatics & Data Science

Bioinformatics, In Silico Sciences & Automation (BIX)Biologics Engineering (BE)Location: Cambridge, UK

Introduction to the Role:

We areseekingan experienced and highly motivated 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 scientificpartnershipand will play a key role in enabling foundationbuilds, workflow automation, data products, and emerging AI capabilities across the Biologics Engineering ecosystem.

Key Responsibilities:

• Apply scientific informaticsexpertiseto address complex challenges across bioinformaticsanddata scienceinlaboratoryenvironments.

• Translatebiologics drug discoveryworkflowsinto automated processes,scalable digital products,and user-centred solutions that improve research efficiency and data quality.

• Integrate research systemsby connecting laboratory instruments, automation platforms, FAIR data repositories, and scientific applicationssuch asGenedataBiologics.

• Develop scientific softwareincluding applications, APIs, services, and user interfaces using

• Establish data foundationsthrough reusable data models, metadata standards, and FAIR data productsin Snowflakethat support analytics, machine learning, and AI.

• Apply AIandagentic development practicesto rapidly prototype tools and visualisation capabilities that enhance leadselectionand decision-making in drug discovery campaigns.

• Collaborate across disciplineswith scientists, automation engineers, product owners, AI specialists, and IT teams to deliver robust and impactful solutions.

Essential Qualifications:

• PhD, MSc, or equivalent industry experience in Bioinformatics, Data Science, Computer Science, Software Engineering, Computational Biology, Engineering, ora relateddiscipline.

• 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.

• Demonstrated ability to translate ambiguous scientific needs into practical digital products.

Preferred Qualifications:

• Experience with laboratory automation platforms and instrument integrations.

• Knowledge of cloud-based data platforms and modern data engineering approaches.

• Experience developing APIs, workflow orchestration systems, or scientific web applications.

• Experience applying machine learning, generative AI, or advanced analytics in scientific environments.

• Familiarity with FAIR data principles and research data governance.

• Experience working within agile product teams.

Success Measures:

Within the first 12-24 months, the successful candidate will:

• Deliver foundationdata products that support AI-enabledbiologicsdiscovery.

• 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.

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/

Follow AstraZeneca on Instagram https://www.instagram.com/astrazeneca_careers/?hl=en

Our mission is to build an inclusive and equitable environment. We want people to feel they belong at AstraZeneca and Alexion, starting with our recruitment process. We welcome and consider applications from all qualified candidates, regardless of characteristics. We offer reasonable adjustments/accommodations to help all candidates to perform at their best. If you have a need for any adjustments/accommodations, please complete the section in the application form.