Software Engineer – Chemistry & Data Integration

Full time in-office (London)

About the Company

We are working closely with a rapidly growing Scientific SaaS company who have developed a unified LIMS platform to support enterprise R&D teams. Their platform is used by R&D teams in chemicals, material science, pharmaceutical, and other science-driven industries to manage experimental data, connect lab systems, and apply advanced analytics and AI to accelerate innovation.

Joining this company means working at the intersection of science, data, and software, where your work has a direct and visible impact on how real-world R&D is done.

They require a Software Engineer with a computer science background to join their Customer Implementation team. The role will be a full time in office in London. 

We're looking for motivated engineers who can help to build out tools that will accelerate the development of new chemicals and materials.

Your primary responsibility will be to develop data intergrations for customers to , for example, ingest data from lab equipment and set up automated data transfer routines. This role primarily involve writing Python scripts.

Responsibilities:

• Designing and building custom data ingestion pipelines between customer systems and the platform
• Writing Python-based integration scripts using modern Python frameworks
• Working with large scientific datasets, including structured and semi-structured lab data
• Performing data transformation, validation, and manipulation to support downstream analysis
• Collaborating with implementation, customer success, and scientific stakeholders to understand customer workflows
• Supporting complex customer onboarding and expansion projects through tailored technical solutions

Required skillset:

• Experience using Python in a professional environment (framework experience required)
• Working knowledge of SQL and relational databases
• Experience handling and manipulating large datasets, ideally scientific or experimental data
• Interest in working in a customer-facing, implementation-focused engineering role
• Degree in Computer Science or a relatable field

Nice to Have

• Experience integrating data from lab equipment or scientific instruments
• Familiarity with Excel or other analytical tools
• Exposure to SaaS, data platforms, or startup environments