About Us
TetraScience is a SaaS company focused on helping life sciences organisations make better use of the data generated in laboratories. Modern labs produce huge volumes of information from instruments, software systems, and experiments, but it is often fragmented, difficult to access, and hard to reuse across teams. TetraScience’s platform is designed to bring that data together, standardise it, and make it easier to move from raw experimental output to analysis and decision making. For job seekers, that means the company sits at the intersection of software engineering and scientific workflows, with a clear emphasis on improving how R and D and quality teams work.
The company primarily serves customers in the life sciences sector, including pharma and biotech, and likely also organisations involved in research, development, and regulated laboratory environments. These customers tend to care about data integrity, traceability, and reproducibility, as well as the practical challenge of connecting many different lab instruments and systems. TetraScience’s work therefore involves not just building a web application, but also dealing with complex integrations, data pipelines, and the realities of how labs operate day to day.
Within the SaaS ecosystem, TetraScience can be seen as a specialist data platform company for scientific and laboratory data. Rather than being a general purpose analytics tool, it is positioned around a specific domain where interoperability and standardisation are hard problems. That typically requires a product that can support enterprise needs, including security, governance, and reliability, while still being usable by scientific and technical teams who need results without excessive overhead.
People who thrive at TetraScience are likely to be those who enjoy solving technically demanding problems with real world constraints. Software engineers working on distributed systems, data ingestion, APIs, integrations, and cloud infrastructure should find the domain engaging. Product managers and designers who can translate complex user needs into clear workflows may also do well, particularly if they are comfortable collaborating with customers who have specialised terminology and regulated processes. Given the nature of lab data, experience with data modelling, observability, security, and compliance minded engineering practices may be especially relevant, even if not every role is directly focused on regulation.
What may appeal to candidates is the mission driven nature of the work and the chance to contribute to tools used in scientific research and development. If you like building software that has a tangible impact on how medicines and therapies are developed, and you are comfortable working in a domain where accuracy and reliability matter, TetraScience is likely to feel purposeful. At the same time, it is still a SaaS business, so you can expect an environment that values shipping product, supporting customers, and iterating based on feedback, alongside the deeper technical challenges that come with laboratory and scientific data.