Senior Scientific Data Scientist / Pipeline Engineer
Posted 8 days 21 hours ago by Harnham - Data & Analytics Recruitment
£450 - £500 Daily
Contract
Not Specified
Laboratory Jobs
London, United Kingdom
Job Description
Senior Scientific Data Scientist / Pipeline Engineer Fully remote but can be hybrid upon request.6 Month Contract likely to extendOutside IR35£450 to £500 per day This is a chance to work on scientifically meaningful software that directly supports real-world discovery. You will take ownership of analytical pipelines that sit at the heart of a data-driven research platform, collaborating closely with scientists to turn complex experimental data into reliable, scalable insights. The Company They are a technology-led life sciences organisation operating at the intersection of biology, automation, and data. The business builds platforms that generate high-quality experimental data at scale and uses advanced analytics to accelerate scientific discovery. With a strong emphasis on rigour, reproducibility, and collaboration, they bring together engineers and scientists to solve complex research challenges. The Role and Deliverables 
- 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.
- 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.