Software Engineer – Chemistry & Data Integration
Remote (EU-based)
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 fully remote within Europe. Candidates applying will need to be eligible to work in the EU.
This role is focused on building customer-specific data pipelines and integrations, connecting laboratory instruments, internal customer systems, and external data sources into our platform. You will not be working on globally deployed backend or frontend product features. Instead, your work will be highly practical, hands-on, and customer-facing — enabling scientists to seamlessly ingest, manipulate, and analyze large experimental datasets.
This is an ideal role for someone who enjoys applied engineering, working closely with customers, and solving real scientific data challenges.
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