Senior Scientific Data Scientist / Pipeline Engineer

Salary: £117,000 - 130,000 per year

Requirements

• Strong experience using Python for scientific or analytical software development.
• Proven capability analysing complex, structured experimental or assay-style datasets.
• Solid understanding of statistical modelling, curve fitting, and data quality control.
• Experience building end-to-end data or analysis pipelines with a focus on reproducibility.
• Comfortable using version control and applying sound software engineering practices.
• Able to communicate clearly with both technical and scientific stakeholders.

Responsibilities

• Design, build, and maintain Python-based analytical pipelines for a range of experimental and bioassay data.
• Implement robust statistical and modelling workflows, including quality control, normalisation, and curve fitting.
• Translate scientific workflows into reproducible, automated analysis processes.
• Partner closely with laboratory-based scientists to understand experimental design and data requirements.
• Improve data structures and analysis readiness across the platform.
• Contribute to clear documentation and well-engineered, production-ready code.

Technologies

• Python

More

We are a technology-led life sciences organisation operating at the intersection of biology, automation, and data. We build platforms that generate high-quality experimental data at scale and use advanced analytics to accelerate scientific discovery. This is a fully remote 6-month contract role that can be hybrid upon request, offering £450 to £500 per day and likely to extend. We work with a strong emphasis on rigour, reproducibility, and collaboration, bringing together engineers and scientists to solve complex research challenges.

last updated 24 week of 2026