Senior Scientist, Research Informatics & Data Science

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 engineersdata 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 processesscalable digital productsand 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.