Salary
Salary: Β£60,000 - 100,000 per year
Requirements
- Experience using Python in a professional environment, including framework experience
- 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 related field
- Experience integrating data from lab equipment or scientific instruments is a plus
- Familiarity with Excel or other analytical tools is a plus
- Exposure to SaaS, data platforms, or startup environments is a plus
Responsibilities
- Design and build custom data ingestion pipelines between customer systems and our platform
- Write Python-based integration scripts using modern Python frameworks
- Work with large scientific datasets, including structured and semi-structured lab data
- Perform data transformation, validation, and manipulation to support downstream analysis
- Collaborate with implementation, customer success, and scientific stakeholders to understand customer workflows
- Support complex customer onboarding and expansion projects through tailored technical solutions
- Develop data integrations for customers, such as ingesting data from lab equipment and setting up automated data transfer routines
Technologies
- AI
- Excel
- Support
- Python
- SQL
More
We are a rapidly growing Scientific SaaS company that has developed a unified LIMS platform for enterprise R&D teams in chemicals, materials science, pharmaceuticals, and other science-driven industries. Our platform helps teams manage experimental data, connect lab systems, and apply advanced analytics and AI to accelerate innovation. This is a hybrid role based in London, and you will join our Customer Implementation team working at the intersection of science, data, and software, where your work will have a direct and visible impact on how real-world R&D is done.
Contact Details:
Next Phase Recruitment Limited Recruitment Team