Senior Scientist, Research Informatics & Data Science

As a Senior Scientist, you accelerate Biologics Engineering through data, software, and automation foundations. You work at the intersection of bioinformatics, software engineering, data science, and AI to enable scalable workflows and FAIR data for AI-driven discovery. You will partner with scientists, automation engineers, data scientists, and IT to deliver robust, user-centric solutions that improve data capture and workflow automation. This role blends hands-on delivery with scientific partnership to build data products and underpin foundation platforms across BE.

• hybrid/flexible work arrangement (office 3 days per week)
• inclusion and reasonable accommodations
• supportive environment for collaboration

• Apply scientific informatics to address complex lab-based challenges across bioinformatics and data science
• Translate discovery workflows into automated, scalable digital products and user-centered solutions
• Integrate research systems by linking instruments, automation platforms, FAIR data repositories, and applications such as Genedata Biologics
• Develop scientific software including applications, APIs, services, and user interfaces
• Establish data foundations via reusable models, metadata standards, and FAIR data products in Snowflake
• Apply AI and agentic development to prototype tools and visualisations for lead selection and decision making
• Collaborate with scientists, automation engineers, product owners, AI specialists, and IT to deliver impactful solutions

• PhD, MSc, or equivalent industry experience in relevant fields
• Experience developing software solutions using Python and modern engineering practices
• Experience designing data pipelines and integrating heterogeneous data sources
• Strong understanding of laboratory research environments and data generation workflows
• Experience working with scientists and technical stakeholders to deliver real-world solutions
• Proven ability to translate ambiguous scientific needs into practical digital products

• collaboration
• stakeholder engagement
• communication
• Python
• data pipelines
• APIs