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 are

seeking

an 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 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 applications, APIs, services, and user interfaces using

Establish data foundations

through reusable data models, metadata standards, and FAIR data products

in Snowflake

that support analytics, machine learning, and AI.

Apply AI

and

agentic development practices

to rapidly prototype tools and visualisation capabilities that enhance lead

selection

and decision-making in drug discovery campaigns.

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